Ibrahim El Didi | Machine Learning | Innovative Research Award

Published on by International Popular Scientist Awards

Innovative Research Award

Ibrahim El Didi
Prince Mohammad Bin Fahd University, Saudi Arabia

Ibrahim El Didi
Affiliation Prince Mohammad Bin Fahd University
Country Saudi Arabia
Scopus ID 59699937500
Documents 3
Citations 1
h-index 1
Subject Area Machine Learning
Event International Popular Scientist Awards
ORCID 0000-0001-8812-788X

Ibrahim El Didi is a researcher affiliated with Prince Mohammad Bin Fahd University in Saudi Arabia whose documented scholarly work spans machine learning, artificial intelligence, cybersecurity, healthcare Internet of Medical Things (IoMT), renewable-energy systems, and computational methods. His recent publication record includes journal and conference contributions addressing intelligent intrusion detection, deep-learning-based cybersecurity, photovoltaic-system resilience, and machine-learning-supported healthcare applications.[1][2]

Abstract

Ibrahim El Didi is associated with research at the intersection of machine learning and applied intelligent systems. His documented publications include work on Parkinson’s disease classification using gait-related information, AI-based resilience for photovoltaic systems, intelligent intrusion detection for healthcare IoMT environments, layered security frameworks for cloud-connected healthcare systems, and deep-learning approaches to cybersecurity. The publication record also includes a contribution in computational mathematics, illustrating a broader engagement with applied computational research.[1][2][3]

Keywords

Machine learning; artificial intelligence; deep learning; cybersecurity; intrusion detection; healthcare IoMT; photovoltaic systems; network security; Parkinson’s disease classification; intelligent systems; computational methods; applied research.

Introduction

Machine learning has become an important methodological component of modern research in engineering, healthcare, cybersecurity, and energy systems. Its application to complex datasets allows researchers to develop classification, prediction, anomaly-detection, and decision-support approaches for problems that may be difficult to address using conventional analytical techniques alone. El Didi’s listed publications reflect this broader development by applying artificial intelligence and machine learning to multiple technological contexts.[1][4]

Research Profile

The available bibliographic information identifies Ibrahim El Didi with Prince Mohammad Bin Fahd University and associates his research subject area with machine learning. The supplied Scopus profile information records Scopus Author ID 59699937500, three indexed documents, one citation, and an h-index of 1. These metrics describe the indexed record available at the time represented by the supplied profile data and should be interpreted in the context of publication timing, indexing coverage, and the normal evolution of an academic research profile.[6]

Research Contributions

The documented contributions can be grouped into several applied research themes. In healthcare, the Parkinson’s disease study applies a physiology-anchored multiple-instance framework with confidence-stratified training to gait-based classification. Such a research direction connects machine-learning methodology with physiological information and disease-oriented classification problems.[1][2]

Publications

  1. A Physiology-Anchored Multiple-Instance Framework with Confidence-Stratified Training for Parkinson’s Disease Classification Based on Gait. Applied Sciences, 2026-08-22.
  2. SPARK: Shutdown Prevention and AI-Based Resilience Framework for PV Systems. 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT), 2026-04-07.
  3. CloudMed-IDS: Intelligent Multi-class and Zero-day Intrusion Detection System for HealthCare IoMT. 10th International Conference on Engineering, Technologies & Applied Sciences (ICETAS), Bahrain, 2026-04-01. Contributors.
  4. MedGuard-IoMT: A Machine Learning-Enabled Layered Security Framework for Intrusion Detection in Cloud-Connected Healthcare Systems. 2025 IEEE 6th International Conference on Computer, Big Data, Artificial Intelligence (ICCBD+AI), 2025-11-21.

Research Impact

The potential significance of El Didi’s research lies primarily in its application-oriented use of machine learning across domains where reliability, security, and intelligent analysis are important. Healthcare IoMT systems require mechanisms capable of detecting diverse cyber threats, while medical classification tasks require computational methods that can process physiological and behavioral information. The listed publications address both dimensions of intelligent healthcare systems.[1][3][4]

Award Suitability

The Innovative Research Award recognizes research activity characterized by the development or application of innovative approaches to significant academic or technological problems. Based on the supplied publication record, Ibrahim El Didi demonstrates several characteristics relevant to this recognition, including research activity in machine learning, application of artificial intelligence to healthcare and cybersecurity, and interdisciplinary work addressing renewable-energy systems.[1][2][4]

Conclusion

Ibrahim El Didi’s documented research profile reflects an interdisciplinary application of machine learning and artificial intelligence to healthcare, cybersecurity, renewable-energy systems, and computational research. His recent publications include work on Parkinson’s disease classification, photovoltaic-system resilience, intelligent intrusion detection for healthcare IoMT, cloud-connected healthcare security, deep-learning-based network protection, and computational differential equations.[1][2][3].

References

  1. Farfoura, M. E., Alkhatib, A. A. A., Elkhodr, M., El Didi, I., & Al-Sabbagh, A. (2026). A Physiology-Anchored Multiple-Instance Framework with Confidence-Stratified Training for Parkinson’s Disease Classification Based on Gait. Applied Sciences.
  2. Guler, N., Houda, T., El Didi, I., & Hindi, J. (2026). SPARK: Shutdown Prevention and AI-Based Resilience Framework for PV Systems. 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT).
    DOI: https://doi.org/10.1109/csnt69054.2026.11502347
  3. El Didi, I., Guler, N., & Ben Hazem, Z. (2026). CloudMed-IDS: Intelligent Multi-class and Zero-day Intrusion Detection System for HealthCare IoMT. 10th International Conference on Engineering, Technologies & Applied Sciences (ICETAS), Bahrain.
  4. El Didi, I., Elkhodr, M., Ullah, F., Zhao, Y., & Al-Sabbagh, A. (2025). MedGuard-IoMT: A Machine Learning-Enabled Layered Security Framework for Intrusion Detection in Cloud-Connected Healthcare Systems.
    DOI: https://doi.org/10.1109/iccbdai66607.2025.11388099
  5. El Didi, I., Trad, F., & Chehab, A. (2024). Enhancing Network Security Through Deep Learning: Mitigating Feature Engineering and Zero-Day Attacks. 2024 4th Intelligent Cybersecurity Conference (ICSC).
    DOI: https://doi.org/10.1109/icsc63108.2024.10895964
  6. Youssef, K., Moussa, M., Al-Husseini, M., El Misilmani, H. M., Kabalan, K. Y., & El Didi, I. (2024). Characteristic Mode Solution of Complex-Coefficient Complex-Solution Differential Equations.
    DOI: https://doi.org/10.61841/turcomat.v15i1.10082

Karamjeet Kaur | Finance | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Karamjeet Kaur
Amardeep Singh Shergill College, Mukandpur

Karamjeet Kaur
Affiliation Amardeep Singh Shergill College, Mukandpur
Country India
Scopus ID 57224008322
Documents 5
Citations 7
h-index 1
Subject Area Finance
Event International Popular Scientist Awards
ORCID 0009-0001-2602-8699

Karamjeet Kaur is a finance and business-management academic whose documented research activities span corporate governance, earnings management, ownership structure, dividend policy, share buybacks, agricultural finance and sustainability. Her publication record includes journal articles addressing the relationship between governance mechanisms and corporate financial decisions, as well as interdisciplinary questions connecting environmental policy, organizational practices and sustainable performance. [1]

Abstract

Karamjeet Kaur is a commerce and business-management academic whose research interests focus primarily on finance, banking, corporate governance, earnings management and sustainability. Her documented academic activities include employment at ASSM College, Mukandpur, from 1999 to the present, together with postgraduate education at the University School of Financial Studies, Guru Nanak Dev University. Her research portfolio includes studies of board composition, institutional ownership, dividend policy, share buybacks, agricultural credit and environmental policy. [1] [2]

Keywords

Karamjeet Kaur; Finance; Banking; Corporate Governance; Earnings Management; Sustainability; Institutional Ownership; Dividend Policy; Share Buybacks; Agricultural Credit; Financial Management; Business and Commerce.

Introduction

Research in finance and business management frequently examines how corporate governance structures, ownership arrangements, managerial incentives and financial policies influence organizational outcomes. Within this broad field, Karamjeet Kaur’s documented research addresses several interconnected questions involving governance, earnings management, dividend decisions, share repurchases and sustainability. Her work also includes research concerning agricultural credit and its relationship with agricultural production in Punjab, demonstrating an application of financial analysis to a regional economic context. [3][1]

Research Profile

Kaur’s research profile is positioned within finance and commerce, with particular emphasis on the governance and financial-policy dimensions of organizations. The reported subject area is Finance, while her listed research interests include banking, corporate governance, earnings management and sustainability. Her publications indicate a research trajectory that connects conventional financial-market questions with contemporary corporate responsibility and environmental-management issues.

  • Corporate governance and board characteristics, including institutional ownership and board composition.
  • Earnings management and the influence of governance structures on managerial financial reporting behavior.
  • Dividend policy and ownership structure among companies listed on the National Stock Exchange of India.
  • Share buybacks and stock-price responses to corporate financial announcements.
  • Sustainability, environmental policy, training and organizational behavior.
  • Agricultural credit and agricultural production in Punjab.

Research Contributions

A notable aspect of Kaur’s research is its attention to corporate governance as a factor associated with financial decision-making. Her work on institutional ownership and busy boards examines governance characteristics in relation to earnings management, while her research on board composition and ownership structure considers their relationship with dividend policy among Indian listed companies. [4] [5]

Publications

The documented publication record includes six works spanning 2009 to 2026. The publications cover corporate governance, earnings management, sustainability, agricultural finance, share buybacks and stock-market reactions. Selected works are listed below in chronological order of publication year where the available record permits.

  1. Stock Price Reaction to Bonus Share Announcements in India. Management and Labour Studies, 2009.
  2. Motivations of Share Buybacks in India. Indian Journal of Finance, 2012. EID: 2-s2.0-84986309514.
  3. Farming Fortunes: Unraveling the Impact of Agricultural Credit on Agricultural Production in Punjab. Educational Administration: Theory and Practice, 2022.
  4. Board Composition, Ownership Structure and Dividend Policy: Evidence from NSE Listed Companies in India. International Journal of Law and Management, 2025.

Research Impact

The available bibliometric information identifies 5 indexed documents, 7 citations and an h-index of 1 for Scopus Author ID 57224008322. These figures provide a quantitative snapshot of the indexed research record and should be interpreted in relation to publication age, field-specific citation practices and the coverage of individual databases. [1]

Award Suitability

The Best Researcher Award consideration for Karamjeet Kaur is aligned with the documented characteristics of her academic profile, particularly her sustained engagement with finance and commerce research and her publications addressing corporate governance, earnings management, ownership structure, dividend policy and sustainability. Her record also demonstrates research applications extending from corporate finance to agricultural credit and environmental performance. [2] [4]

Conclusion

Karamjeet Kaur’s academic profile reflects sustained work in finance, commerce and business management, with research spanning corporate governance, earnings management, ownership structure, dividend policy, share buybacks, agricultural finance and sustainability. Her documented employment and education at Guru Nanak Dev University and her publication record provide an academic foundation for consideration within the Best Researcher Award category. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Karamjeet Kaur, Author ID 57224008322. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57224008322
  2. Kaur, A., Kaur, K., & Bhalla, G. S. (2026). The impact of environmental policy and training on green performance: Unveiling the mediating roles of conservation practices and organizational citizenship behavior for the environment. Management and Sustainability. DOI: https://doi.org/10.1108/MSAR-01-2025-0026
  3. Kaur, K. (2022). Farming fortunes: Unraveling the impact of agricultural credit on agricultural production in Punjab. Educational Administration: Theory and Practice. DOI: https://doi.org/10.69980/kuey.v28i4.11770
  4. Kaur, K., & Rani, P. (2026). Moderating effect of institutional ownership on the nexus between busy boards and earnings management: Evidence from Indian companies. Corporate Governance: The International Journal of Business in Society.
  5. Kaur, J., & Kaur, K. (2025). Board composition, ownership structure and dividend policy: Evidence from NSE listed companies in India. International Journal of Law and Management. DOI: https://doi.org/10.1108/IJLMA-07-2023-0163

Muhammad Noman | Quantum Science | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Muhammad Noman
Quantum Science
Muhammad Noman
Affiliation Quantum Science
Country China
Scopus ID 59308497300
Documents 25
Citations 209
h-index 7
Subject Area Quantum Science
Event International Popular Scientist Awards
ORCID 0009-0003-6136-0114

Muhammad Noman   the Best Researcher Award profile recognizes the research record of Muhammad Noman in the field of quantum science, with a publication portfolio addressing quantum information, open quantum systems, non-Markovian dynamics, quantum metrology, neutrino oscillations, dephasing, and related theoretical physics topics. The supplied bibliographic record reports 25 indexed documents, 209 citations, and an h-index of 7. [1]

Abstract

Muhammad Noman’s reported research profile is centered on theoretical and computational problems in quantum science and mathematical physics. The listed publications demonstrate engagement with quantum coherence, dephasing, non-Markovian memory, entanglement dynamics, quantum metrology, qubit and qutrit systems, neutrino oscillations, and quantum optical phenomena. Recent publications in 2026 include studies of Fisher-ridge operation in nonlinear non-Hermitian gyroscopes, flavor coherence in three-flavor neutrino qutrits, non-Markovian memory and multi-time metrology, coupled NV-center qutrits, systematic bias in long-baseline neutrino oscillation parameters, and amplitude-damping dynamics. [2] [3] [4]

Keywords

Quantum Science; Quantum Information; Non-Markovian Dynamics; Quantum Coherence; Quantum Metrology; Qubit; Qutrit; Dephasing; Entanglement; Neutrino Oscillations; Quantum Optics; Non-Hermitian Physics; NV Centers; Theoretical Physics; Best Researcher Award.

Introduction

Quantum science encompasses a broad range of research concerned with quantum states, interactions, information processing, measurement, and the behavior of physical systems at microscopic scales. Within this area, the study of open quantum systems examines how interaction with an environment modifies coherence, correlations, and measurable quantum properties. Non-Markovian effects are particularly relevant because environmental memory can produce departures from simple irreversible dynamics and may result in revivals of quantum correlations or altered metrological performance. The publication record supplied for Muhammad Noman contains multiple works addressing these themes. [5]

Research Profile

The supplied research metrics identify Muhammad Noman with Scopus Author ID 59308497300 and report 25 documents, 209 citations, and an h-index of 7. These indicators provide a quantitative snapshot of indexed scholarly output and citation activity at the time represented by the supplied profile information. [1]

Research Contributions

A prominent theme in the supplied publication record is the characterization of quantum systems subjected to environmental noise and memory effects. The work on non-Markovian memory considers entanglement revivals and multi-time metrology in a qubit pseudomode channel, while another study examines dephasing and flavor coherence in a three-flavor neutrino qutrit. These subjects connect fundamental questions concerning quantum information preservation with theoretical descriptions of open-system dynamics. [3] [4]

Publications

The following publications are included in the supplied bibliographic record. Dates and journal information are reproduced from the provided source material.

  1. Squeezing-assisted Fisher-ridge operation in a nonlinear non-Hermitian gyroscope. Chaos, Solitons & Fractals, 2026-11.
  2. Non-Markovian Dephasing and Flavor Coherence in a Three-Flavor Neutrino Qutrit. International Journal of Theoretical Physics, 2026-08-04
  3. Operational Signatures of Non-Markovian Memory: Entanglement Revivals and Multi-Time Metrology in a Qubit Pseudomode Channel. Annalen der Physik, 2026-07.
  4. Visibility thresholds and quantum advantage time for coupled NV-center qutrits under dephasing. Laser Physics Letters, 2026-07-06.

Research Impact

The supplied profile reports 209 citations and an h-index of 7 across 25 indexed documents. These metrics indicate that the research has received measurable citation activity within the indexed scholarly literature. [1] The publication record also shows recurring collaboration with researchers working on quantum dynamics, neutrino theory, optical physics, and related areas. Such collaboration can facilitate the exchange of theoretical approaches across specialized areas of quantum science.

Award Suitability

On the basis of the information supplied for this profile, Muhammad Noman’s research record presents characteristics relevant to consideration for a Best Researcher Award in the quantum science category. The reported publication and citation indicators provide measurable evidence of scholarly activity, while the listed research topics demonstrate sustained engagement with contemporary theoretical problems in quantum physics. [1]

Conclusion

Muhammad Noman’s supplied research profile reflects an active scholarly focus on quantum science and theoretical physics. The combination of reported bibliometric indicators and publications addressing quantum coherence, non-Markovian memory, quantum metrology, neutrino oscillations, qutrit dynamics, dephasing, and quantum optical phenomena provides a substantive basis for academic recognition. The Best Researcher Award profile therefore presents the researcher as a candidate whose work can be evaluated within the broader context of contemporary theoretical and quantum science research.

References

  1. Elsevier. (n.d.). Scopus author details: Muhammad Noman, Author ID 59308497300. Scopus.
    https://www.scopus.com/pages/authors/59308497300
  2. Crossref. (2026). Squeezing-assisted Fisher-ridge operation in a nonlinear non-Hermitian gyroscope. Chaos, Solitons & Fractals.
    https://doi.org/10.1016/j.chaos.2026.118983
  3. Crossref. (2026). Non-Markovian Dephasing and Flavor Coherence in a Three-Flavor Neutrino Qutrit. International Journal of Theoretical Physics.
    https://doi.org/10.1007/s10773-026-06429-8
  4. Crossref. (2026). Operational Signatures of Non-Markovian Memory: Entanglement Revivals and Multi-Time Metrology in a Qubit Pseudomode Channel. Annalen der Physik.
    https://doi.org/10.1002/andp.70249
  5. Crossref. (2026). Visibility thresholds and quantum advantage time for coupled NV-center qutrits under dephasing. Laser Physics Letters.
    https://doi.org/10.1088/1612-202x/ae8167

Jing Nie | Humidity Sensor | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Jing Nie
Beihang University, Beijing, China

Jing Nie
Affiliation Beihang University
Country China
Scopus ID 55161148800
Documents 53
Citations 495
h-index 12
Subject Area Humidity Sensor
Event International Popular Scientist Awards

Jing Nie is a researcher affiliated with Beihang University in Beijing, China, whose documented scholarly work is associated with humidity measurement, dew point sensing, quartz crystal microbalance (QCM) sensors, and related measurement technologies. The supplied Scopus profile records 53 documents, 495 citations, and an h-index of 12, providing a bibliometric basis for consideration in the Best Researcher Award category. [1]

Abstract

This academic recognition profile presents Jing Nie of Beihang University as a candidate for consideration for the Best Researcher Award under the International Popular Scientist Awards. The supplied bibliometric information identifies 53 indexed documents, 495 citations, and an h-index of 12. [1] Nie’s research profile is particularly associated with humidity sensing and dew point measurement, including QCM-based sensors, chilled-mirror sensing, condensation processes, and sensor-performance evaluation.

Keywords

Jing Nie, Best Researcher Award, Humidity Sensor, Dew Point Sensor, Humidity Measurement, QCM Sensor, Quartz Crystal Resonator, Chilled-Mirror Sensor, Sensor Engineering, Measurement Science, Metrology, Beihang University, International Popular Scientist Awards.

Introduction

Humidity measurement is an important component of scientific and industrial measurement systems because moisture content can affect manufacturing processes, material properties, environmental conditions, and instrument performance. Dew point measurement provides a direct representation of the temperature at which water vapor reaches saturation and therefore represents an important approach within humidity metrology.

Research Profile

Jing Nie is affiliated with Beihang University in Beijing, China. The supplied Scopus information identifies the researcher under Scopus Author ID 55161148800 and records 53 documents, 495 citations, and an h-index of 12. [1] These indicators describe a measurable body of indexed scholarly output and citation activity.

Research Contributions

A central theme of Nie’s research is the development and evaluation of dew point sensing technologies. Recent publications describe approaches involving quartz crystal sensing, temperature integration, condensation analysis, and surface engineering. Such work addresses practical challenges in obtaining stable and accurate measurements from sensors operating near condensation conditions.[2]

Publications

The supplied Scopus record lists multiple publications involving Jing Nie. Selected publications relevant to the researcher’s humidity-sensing specialization include the following:

  1. Bai, Xuesong; Yuan, Boyi; Wen, Lianpeng; Wang, Guohua; Nie, Jing. A novel quartz crystal dew point sensor with integrated function of temperature measurement and dew point recognition. Measurement, 2026.
  2. Gu, Rongrui; Wang, Zhongyu; Nie, Jing. Surface properties of the chilled-mirror reveal dew point sensing performance via condensation process analysis. Measurement, 2026, 257, 118652.
  3. Nie, Jing; Liu, Xi. A review of dew point sensors: Recent advances and future development. Sensors and Actuators B: Chemical, 2024, 417, 136115.

Research Impact

The supplied bibliometric record reports 495 citations across 53 documents, with an h-index of 12. [1] These indicators provide quantitative evidence of scholarly visibility within indexed research literature, although bibliometric measures should be interpreted alongside publication quality, research significance, collaboration, and field-specific citation practices.[4] Together, these activities indicate a research profile that combines focused technical investigation with broader scholarly synthesis.

Award Suitability

The Best Researcher Award is intended to recognize sustained scholarly activity, research contribution, documented academic output, and impact within a defined area of expertise. Based on the information supplied for this profile, Jing Nie demonstrates several characteristics relevant to such an evaluation, including a substantial indexed publication record, measurable citation impact, and a specialized research focus in humidity sensing and dew point measurement.

Conclusion

Jing Nie’s academic profile reflects a sustained research interest in humidity sensing and dew point measurement, supported by a reported record of 53 documents, 495 citations, and an h-index of 12. [1] The publication portfolio includes research addressing QCM dew point sensors, integrated temperature measurement, chilled-mirror sensing, condensation behavior, and broader developments in dew point sensor technology.

References

  1. Elsevier. (n.d.). Scopus author details: Jing Nie, Author ID 55161148800. Scopus.
    https://www.scopus.com/pages/authors/55161148800
  2. Bai, X., Yuan, B., Wen, L., Wang, G., & Nie, J. (2026). A novel quartz crystal dew point sensor with integrated function of temperature measurement and dew point recognition. Measurement, 282, 122078.
    https://doi.org/10.1016/j.measurement.2026.122078
  3. Gu, R., Wang, Z., & Nie, J. (2026). Surface properties of the chilled-mirror reveal dew point sensing performance via condensation process analysis. Measurement, 257, 118652.
    https://doi.org/10.1016/j.measurement.2025.118652
  4. Nie, J., & Liu, X. (2024). A review of dew point sensors: Recent advances and future development. Sensors and Actuators B: Chemical, 417, 136115.
  5. Hou, L., Wang, G., Ma, C., & Nie, J. (2026). Enhanced thermal stability of bismuth titanate-based ceramic sensing elements via excess-Bi2O3 compensation for high-temperature accelerometers. Measurement.

Yaochou Tsai | Urology | Innovative Research Award

Published on by International Popular Scientist Awards

Innovative Research Award

Yao-Chou Tsai
Taipei Tzu Chi Medical Center, Taiwan

Yao-Chou Tsai
Affiliation Taipei Tzu Chi Medical Center
Country Taiwan
Scopus ID 59956880700
Documents 1
Citations 1
h-index 1
Subject Area Urology
Event International Popular Scientist Awards
ORCID 0000-0002-2833-5609

Yao-Chou Tsai is a researcher affiliated with Taipei Tzu Chi Medical Center whose documented scholarly work is concentrated in urology, with particular relevance to upper tract urothelial carcinoma, renal malignancies, prostate diagnostics, urinary tract infection, and technology-assisted assessment of urinary function. His recent publication record includes collaborative studies addressing surgical management, oncological outcomes, chemotherapy strategies, molecular mechanisms, diagnostic optimization, and emerging digital technologies in urological care.[1][2][3]

Abstract

The Innovative Research Award profile recognizes scholarly activity demonstrating relevance to contemporary urological research and clinical investigation. Yao-Chou Tsai’s recent collaborative publications cover several clinically significant areas, including treatment strategies for upper tract urothelial carcinoma, kidney-sparing and radical surgical approaches, oncological risk stratification, chemotherapy sequencing, renal cell carcinoma biology, prostate cancer diagnostics, urinary tract infections, and artificial-intelligence-assisted uroflowmetry. The publication portfolio also includes work published in journals such as Cancers, International Journal of Molecular Sciences, Biomedicines, European Urology Open Science, and Diagnostics.[1][2][3][4]

Keywords

Yao-Chou Tsai; Innovative Research Award; Urology; Upper Tract Urothelial Carcinoma; Urothelial Carcinoma; Nephroureterectomy; Urological Oncology; Renal Cell Carcinoma; Prostate Diagnostics; Artificial Intelligence in Urology; Urological Surgery; Translational Urology.

Introduction

Urological oncology encompasses the diagnosis and treatment of malignancies affecting the urinary tract and associated organs. Upper tract urothelial carcinoma is a clinically heterogeneous disease in which decisions concerning surgery, systemic therapy, renal preservation, and risk stratification can have substantial implications for patient management. Recent research involving Yao-Chou Tsai has examined these questions through multicenter clinical analyses and collaborative investigations.[1][3][4]

Research Profile

The available bibliographic information identifies Yao-Chou Tsai with Taipei Tzu Chi Medical Center in Taiwan and places the researcher within the subject area of urology. The supplied Scopus profile information lists Scopus Author ID 59956880700, one indexed document, one citation, and an h-index of 1. These metrics represent the supplied profile snapshot and may change as bibliographic databases are updated.[2][5]

Research Contributions

The research record demonstrates several recurring areas of investigation:

  • Upper tract urothelial carcinoma: Research addresses treatment outcomes, surgical approaches, invasion patterns, and the management of patients with chronic kidney disease or end-stage renal disease.[1][3]
  • Urological oncology: Collaborative studies examine oncological outcomes and risk stratification, contributing clinical evidence to the evaluation of treatment strategies for urinary tract malignancies.[1][3]
  • Renal cancer research: A 2026 review examines natural products and molecular mechanisms associated with clear cell renal cell carcinoma, including the VHL-HIF axis, metabolic plasticity, and tumor–immune interactions.[2]

Publications

The following publications were supplied as part of the research record. They illustrate the range of topics associated with Yao-Chou Tsai’s recent scholarly activity.

  1. Chang, Yu-Hsiang; Chang, Chao-Hsiang; Huang, Chi-Ping; Wu, Wen-Jeng; Li, Ching-Chia; Chen, Marcelo; Lin, Wun-Rong; Yu, Chih-Chin; Tsai, Vincent F. S.; Tsai, Yao-Chou. Feasibility and Oncological Outcomes of Segmental Ureteral Resection Versus Radical Nephroureterectomy for High-Risk Ureteral Urothelial Carcinoma. Cancers. 2026-08-06.
  2. Tsai, Yao-Chou; Tsai, Chung-Che; Tsai, Vincent F. S.; Lin, Chih-Hung; Kuo, Chan-Yen. Natural Products in Clear Cell Renal Cell Carcinoma: Rewiring the VHL-HIF Axis, Metabolic Plasticity, and Tumor–Immune Interactions. International Journal of Molecular Sciences. 2026-05-20.
  3. Li, Hung-Keng; Lee, Hsiang-Ying; Yeh, Hsin-Chih; Huang, Chao-Yuan; Chen, Chung-Hsin; Yeh, Chin-Chung; Weng, Han-Yu; Tai, Ta-Yao; Tsai, Yao-Chou et al. Factors Affecting Oncological Outcomes in Upper Tract Urothelial Carcinoma Patients with Chronic Kidney Disease and End-Stage Renal Disease. Biomedicines. 2026-02-28.

Research Impact

The research portfolio addresses clinically relevant problems in contemporary urology. Studies of upper tract urothelial carcinoma investigate questions surrounding organ-preserving surgery, radical nephroureterectomy, chemotherapy timing, renal impairment, robotic surgery, and pathological invasion patterns.[1][3][4]

Award Suitability

The documented research record provides a reasonable scholarly basis for consideration under an Innovative Research Award within the International Popular Scientist Awards. The suitability is associated with the breadth of urological research topics, the use of multicenter and collaborative clinical research approaches, and attention to emerging diagnostic technologies. The record includes research on robotic surgery, artificial intelligence-assisted uroflowmetry, oncological risk assessment, and evidence-based treatment strategies.[1][4]

Conclusion

Yao-Chou Tsai’s documented scholarly activity represents a urology-focused research profile encompassing urothelial carcinoma, renal malignancy, prostate diagnostics, urinary tract infection, surgical innovation, and emerging artificial-intelligence applications. The supplied publication record demonstrates active collaboration across clinically and biologically oriented research questions, with several recent studies addressing significant challenges in urological oncology.[1][2][3]

References

  1. Crossref. Feasibility and Oncological Outcomes of Segmental Ureteral Resection Versus Radical Nephroureterectomy for High-Risk Ureteral Urothelial Carcinoma. Cancers, 2026.
    https://doi.org/10.3390/cancers18152527
  2. Crossref. Natural Products in Clear Cell Renal Cell Carcinoma: Rewiring the VHL-HIF Axis, Metabolic Plasticity, and Tumor–Immune Interactions. International Journal of Molecular Sciences, 2026.
    https://doi.org/10.3390/ijms27104584
  3. Crossref. Factors Affecting Oncological Outcomes in Upper Tract Urothelial Carcinoma Patients with Chronic Kidney Disease and End-Stage Renal Disease. Biomedicines, 2026.
    https://doi.org/10.3390/biomedicines14030554
  4. Crossref. Treatment Outcomes of Neoadjuvant Versus Adjuvant Chemotherapy in Upper Tract Urothelial Carcinoma: A Propensity Score Overlap Weighting Analysis of a Multicenter Taiwanese Cohort. European Urology Open Science, 2025.
    https://doi.org/10.1016/j.euros.2025.09.009
  5. Crossref. Editorial for the Special Issue “Early Molecular Diagnosis and Comprehensive Treatment of Tumors”. Current Issues in Molecular Biology, 2025.
    https://doi.org/10.3390/cimb47110954

Alexandra Connors | Social Sciences | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Alexandra Connors
University of Queensland, Brisbane, Australia

Alexandra Connors
Affiliation University of Queensland
Country Australia
Scopus ID 59749259900
Documents 2
Citations 2
h-index 1
Subject Area Social Sciences
Event International Popular Scientist Awards

Alexandra Connors is a researcher affiliated with the University of Queensland in Brisbane, Australia, whose indexed research activity is situated within the social sciences. The available Scopus author information records two documents, two citations, and an h-index of one. Her indexed publication record includes research examining the relationship between mining, tourism, Indigenous power, and decolonising futures, providing a basis for considering her work in the context of contemporary social-science research and the Best Researcher Award. [1]

Abstract

Alexandra Connors is affiliated with the University of Queensland and is represented in Scopus as a social-science researcher with two indexed documents, two citations, and an h-index of one. Her indexed scholarly record includes the 2026 article The intersection between mining and tourism: Indigenous power and decolonising futures, published in The Extractive Industries and Society. The study’s thematic focus places Indigenous perspectives, resource extraction, tourism, power, and decolonising approaches within a contemporary research context. [1]

Keywords

Alexandra Connors; Best Researcher Award; University of Queensland; Social Sciences; Indigenous power; decolonising futures; mining and tourism; extractive industries; tourism research; interdisciplinary social science; research impact; academic recognition.

Introduction

Academic recognition in the social sciences commonly considers the relationship between scholarly output, research relevance, methodological contribution, and the significance of a researcher’s subject area. Within this framework, Alexandra Connors’s available bibliographic record identifies a research profile connected with the University of Queensland and the social sciences. Her indexed publication addresses the intersection of mining and tourism while foregrounding Indigenous power and decolonising futures. [1]

Research Profile

Connors is associated with the University of Queensland in Brisbane, Australia, and has a Scopus author identifier of 59749259900. The supplied Scopus information records two indexed documents, two citations, and an h-index of one. These indicators provide a bibliometric snapshot of the indexed record and should be interpreted in relation to career stage, publication timing, disciplinary practices, and the limited number of indexed documents. [1]

Research Contributions

The principal indexed contribution identified in the supplied record examines the intersection between mining and tourism through a focus on Indigenous power and decolonising futures. The topic connects resource extraction and tourism with questions of social power, Indigenous agency, and the transformation of established approaches to development and knowledge production. [1]

Publications

The supplied Scopus record identifies two documents associated with Alexandra Connors. One indexed publication is visible in the provided results and is dated 2026. The article is published in The Extractive Industries and Society and is listed as open access in the supplied record. [1]

Research Impact

The available Scopus record reports two citations across two indexed documents. While citation counts can provide one measure of scholarly visibility, they do not by themselves capture the broader academic, community, policy, cultural, or practical significance of social-science research. The thematic scope of Connors’s indexed publication is relevant to discussions surrounding Indigenous communities, extractive industries, tourism, and decolonisation. [1]

Award Suitability

The Best Researcher Award recognizes scholarly work that demonstrates relevance, research quality, intellectual contribution, and potential significance within a defined field. Based on the supplied record, Alexandra Connors presents a research profile within the social sciences with an indexed publication addressing the intersection of mining, tourism, Indigenous power, and decolonising futures. [1]

Conclusion

Alexandra Connors’s available academic record identifies her as a University of Queensland researcher working within the social sciences. Her indexed work addresses the intersection of mining and tourism with particular attention to Indigenous power and decolonising futures. The documented Scopus profile records two documents, two citations, and an h-index of one. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Alexandra Connors, Author ID 59749259900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59749259900
  2. Connors, Alexandra; Ruhanen, Lisa M.; Whitford, Michelle M.; Jordan, Ree. (2026). The intersection between mining and tourism: Indigenous power and decolonising futures. The Extractive Industries and Society.

Hassan Moria | Chronic Pain | Excellence in Research Award

Published on by International Popular Scientist Awards

Excellence in Research Award

Hassan Moria
University of Tabuk, Saudi Arabia

Hassan Moria
Affiliation University of Tabuk
Country Saudi Arabia
Scopus Id 60161749600
Documents 3
Citation 1
h-index 1
Subject Area Chronic Pain
Event International Popular Scientist Awards
Orcid 0000-0003-0360-4902

Hassan Moria is a researcher affiliated with the University of Tabuk in Saudi Arabia whose documented scholarly work focuses on pain medicine and clinical approaches to chronic pain. His indexed publication record includes studies addressing capsaicin 8% patch therapy, peripheral nerve blocks, thoracic facet syndrome, and complications associated with occipital nerve blocks. These publications provide a focused basis for evaluating his research profile in relation to the Excellence in Research Award. [1]

Abstract

Hassan Moria’s research profile is centered on clinical pain management, with particular emphasis on interventional and topical approaches for chronic and neuropathic pain. His documented publications include a retrospective comparative cohort study investigating procedural optimization of capsaicin 8% patch therapy using ultrasound-guided bilateral ankle nerve block in painful diabetic peripheral neuropathy, a study of capsaicin 8% patch use in thoracic facet syndrome, and two case reports concerning suboccipital muscle atrophy following occipital nerve blocks for chronic cluster headaches. [2] [3] [4]

Keywords

Hassan Moria; Excellence in Research Award; chronic pain; pain medicine; capsaicin 8% patch; diabetic peripheral neuropathy; thoracic facet syndrome; occipital nerve block; interventional pain management; University of Tabuk.

Introduction

Chronic pain research encompasses pharmacological, procedural, rehabilitative, and multidisciplinary strategies intended to improve symptom control and functional outcomes. Within this field, topical capsaicin and peripheral nerve interventions represent established areas of clinical investigation. Moria’s published work addresses these approaches through clinical research and case-based reporting, providing a focused contribution to the literature on procedural pain management. [2] [3]

Research Profile

Moria is affiliated with the University of Tabuk, Saudi Arabia, and is associated with research in chronic pain. The available publication record demonstrates an applied clinical orientation, particularly toward interventional pain procedures and capsaicin-based treatment strategies. His work spans painful diabetic peripheral neuropathy, thoracic facet syndrome, and chronic cluster headache-related complications, illustrating a research interest in different clinical manifestations and management challenges within pain medicine. [1] [2] [3] [4]

Research Contributions

A principal theme of Moria’s research is the clinical application and optimization of capsaicin 8% patch therapy. His 2026 study examined a procedural approach combining capsaicin patch therapy with ultrasound-guided bilateral ankle nerve block in patients with painful diabetic peripheral neuropathy. The retrospective comparative cohort design places emphasis on treatment optimization and provides clinically relevant evidence concerning the integration of topical therapy with an interventional technique. [2][3]

Publications

  1. Moria, Hassan. Procedural Optimization of Capsaicin 8% Patch Therapy Using Ultrasound-Guided Bilateral Ankle Nerve Block in Painful Diabetic Peripheral Neuropathy: A Retrospective Comparative Cohort Study. Healthcare, 2026.
  2. Moria, H. A., & Alatawi, A. M. Innovative use of capsaicin patch 8% in treating thoracic facet syndrome. Journal of Neurosciences in Rural Practice, 2025.
  3. Moria, Hassan A., & Alatawi, Amirah M. A Cautionary Tale: Unveiling Suboccipital Muscle Atrophy Following Occipital Nerve Blocks for Chronic Cluster Headaches – Two Case Reports. Journal of Pioneering Medical Sciences, 2025.

Research Impact

The available publication record indicates a focused contribution to clinical pain research, particularly in areas where procedural interventions and topical analgesic strategies intersect. The 2026 retrospective comparative cohort study addresses treatment optimization in painful diabetic peripheral neuropathy, while the 2025 publication explores capsaicin patch therapy for thoracic facet syndrome. Together, these studies demonstrate an interest in evaluating practical applications of pain-management interventions across distinct clinical settings. [2] [3]

Award Suitability

The documented research record provides a reasonable basis for consideration for an Excellence in Research Award within the field of chronic pain. The strongest evidence for suitability is the presence of peer-reviewed journal publications addressing clinically relevant pain-management questions, including a retrospective comparative cohort study and research on capsaicin 8% patch therapy. [2] [3]

Conclusion

Hassan Moria’s documented research profile reflects an emerging scholarly focus on chronic pain and clinical pain-management interventions. His publications address capsaicin 8% patch therapy, painful diabetic peripheral neuropathy, thoracic facet syndrome, and complications associated with occipital nerve blocks. [2] [3] [4] These contributions provide a relevant scholarly foundation for consideration under the Excellence in Research Award category of the International Popular Scientist Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Hassan Moria, Author ID 60161749600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60161749600
  2. Moria, H. (2026). Procedural Optimization of Capsaicin 8% Patch Therapy Using Ultrasound-Guided Bilateral Ankle Nerve Block in Painful Diabetic Peripheral Neuropathy: A Retrospective Comparative Cohort Study. Healthcare.
    DOI:  https://doi.org/10.3390/healthcare14162563
  3. Moria, H. A., & Alatawi, A. M. (2025). Innovative use of capsaicin patch 8% in treating thoracic facet syndrome. Journal of Neurosciences in Rural Practice.
    DOI: https://doi.org/10.25259/jnrp_133_2025
  4. Moria, H. A., & Alatawi, A. M. (2025). A Cautionary Tale: Unveiling Suboccipital Muscle Atrophy Following Occipital Nerve Blocks for Chronic Cluster Headaches – Two Case Reports. Journal of Pioneering Medical Sciences.
    DOI: https://doi.org/10.47310/jpms2025140612

Yi Hu | Finance | Young Scientist Award

Published on by International Popular Scientist Awards

Young Scientist Award

Yi Hu
S.P. Jain London School of Management, United Kingdom

Yi Hu
Affiliation S.P. Jain London School of Management
Country United Kingdom
Scopus ID 59168795400
Documents 3
Citations 5
h-index 2
Subject Area Finance
Event International Popular Scientist Awards
ORCID 0009-0009-7170-3743

Yi Hu is a researcher in the field of finance whose indexed scholarly record includes research examining the relationship between political uncertainty, corporate social responsibility, stakeholder relations, and firm performance. The available Scopus profile records 3 documents, 5 citations, and an h-index of 2. The researcher is associated in the supplied award profile with S.P. Jain London School of Management in the United Kingdom. The Scopus author information also identifies an ORCID record and an affiliation connection with Henley Business School, Reading, United Kingdom. [1]

Abstract

Yi Hu’s research profile is situated within finance and related areas of corporate and sustainable finance. The available publication record identifies research addressing how political uncertainty interacts with corporate social responsibility and firm performance. In a 2025 article published in The British Accounting Review, Hu and Chao Yin examine whether firms with stronger corporate social responsibility ratings experience different stock-return outcomes during periods of political uncertainty.[2][3]

Keywords

Yi Hu; Finance; Corporate Finance; Corporate Social Responsibility; Political Uncertainty; Firm Performance; Stakeholder Relations; Stock Price; Sustainable Finance; Financial Markets.

Introduction

Research in finance increasingly considers how firms respond to uncertainty originating outside conventional market and operational risks. Political uncertainty is one such factor because elections, policy expectations, and institutional developments can affect corporate investment, financing conditions, valuation, and investor expectations. The research associated with Yi Hu considers this broader problem through the perspective of corporate social responsibility and firm performance. [2]

Research Profile

The supplied Scopus author information identifies Yi Hu with Scopus Author ID 59168795400. The profile records 3 documents, 5 citations, and an h-index of 2. It also lists one preprint and one co-author within the available profile information. [1][3]

Research Contributions

Hu’s documented research contribution concerns the relationship between political uncertainty and firm outcomes, with corporate social responsibility considered as a potentially important firm-level characteristic. The study by Hu and Yin reports that firms with higher CSR ratings experienced superior stock returns relative to firms with lower ratings during periods of political uncertainty. The reported relationship was particularly pronounced in closely contested elections. [2]

Publications

The available profile identifies three indexed documents for Yi Hu. One publication visible in the supplied record is the open-access article Reprint of: Political uncertainty, corporate social responsibility, and firm performance, co-authored with Chao Yin and published in The British Accounting Review, volume 57, issue 1, in 2025. The article is identified as article 101566 and spans 23 pages in the University of Edinburgh research record. [2] [3]

Research Impact

The supplied Scopus profile records 5 citations across 3 indexed documents and an h-index of 2. [1] These indicators provide bibliometric context for the current stage of the researcher’s publication record but should not be interpreted as a comprehensive measure of research quality or significance.

Award Suitability

The Young Scientist Award within the International Popular Scientist Awards is intended to recognize researchers demonstrating emerging scholarly achievement, research activity, and potential for continued contribution. Based on the supplied academic profile, Yi Hu’s documented work in finance and corporate social responsibility provides a relevant scholarly basis for consideration.

Conclusion

Yi Hu’s available scholarly profile reflects an emerging research record in finance, with documented work connecting corporate social responsibility, political uncertainty, stakeholder relationships, and firm performance. The supplied Scopus information records 3 documents, 5 citations, and an h-index of 2. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Hu, Yi, Author ID 59168795400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59168795400
  2. Hu, Y., & Yin, C. (2025). Reprint of: Political uncertainty, corporate social responsibility, and firm performance. The British Accounting Review.
    DOI: 10.1016/j.bar.2025.101566
  3. University of Edinburgh. (2025). Reprint of: Political uncertainty, corporate social responsibility, and firm performance — Research Explorer record.
  4. Elsevier. (2024). Withdrawal notice to: Political Uncertainty, Corporate Social Responsibility, and Firm Performance. The British Accounting Review, 56(6), 101544.
    https://doi.org/10.1016/j.bar.2024.101544

Sang-Su Lee | Engineering | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Sang-Su Lee
Korean Register, Busan, South Korea
Sang-Su Lee
Affiliation Korean Register
Country South Korea
Scopus ID 58871667800
Documents 2
Citations 60
h-index 2
Subject Area Engineering
Event International Popular Scientist Awards

Sang-Su Lee is an engineering researcher affiliated with Korean Register in Busan, South Korea, whose indexed research includes marine engineering, ship propulsion systems, energy-efficiency regulations, shafting safety, and maritime decarbonization. The available Scopus profile information identifies two indexed documents, 60 citations, and an h-index of 2.[1]

Abstract

Sang-Su Lee’s indexed research reflects an engineering focus on maritime propulsion, ship energy efficiency, and the safety implications of technical modifications introduced to meet contemporary environmental-performance requirements. A notable 2024 article in Results in Engineering evaluates a redesigned shafting system following a propeller redesign intended to improve CII and EEXI performance. The study considers a 6500 TEU container ship and examines engine power limitations, torsional vibration, and shaft alignment to assess the safety of the modified propulsion arrangement. [1]

Keywords

Sang-Su Lee; Best Researcher Award; marine engineering; ship propulsion; shafting systems; propeller redesign; CII; EEXI; torsional vibration; shaft alignment; maritime decarbonization; energy efficiency; Korean Register.

Introduction

Maritime transportation is undergoing significant technical and regulatory changes aimed at improving energy efficiency and reducing greenhouse-gas emissions. International maritime regulations have introduced performance indicators including the Energy Efficiency Existing Ship Index (EEXI) and Carbon Intensity Indicator (CII), creating engineering requirements that affect propulsion-system design and vessel operation. Lee’s research addresses this intersection between regulatory performance and mechanical engineering by examining how modifications intended to improve vessel efficiency influence shafting-system safety. [1]

Research Profile

Lee’s documented research profile is situated within engineering applications related to maritime systems. His published work connects ship energy-efficiency requirements with propulsion-system analysis, particularly where changes to propeller or engine configurations can influence mechanical loads and shafting performance. The research therefore occupies an interdisciplinary position between marine engineering, mechanical-system safety, and environmental performance.

Research Contributions

The principal documented contribution concerns the engineering assessment of a redesigned shafting system implemented following propeller redesign intended to improve CII and EEXI performance. The study examined a 6500 TEU container ship and determined engine power limitations under EEXI-related requirements before assessing the resulting implications for CII. The redesigned shafting system was subsequently evaluated through torsional-vibration calculations and shaft-alignment analyses. [1]

Publications

The supplied Scopus record identifies two indexed documents for Sang-Su Lee. One documented publication is the 2024 open-access article listed below.

  1. Lee, Sang-Su. “Evaluating the safety of the redesigned shafting system following the propeller redesign aimed at enhancing CII and EEXI.” Results in Engineering, volume 23, September 2024, article 102352.[1]

Research Impact

According to the supplied researcher profile, Lee’s work has accumulated 60 citations across two indexed documents, with an h-index of 2. Bibliometric indicators can provide a quantitative indication of scholarly visibility, although they do not by themselves establish research quality or significance. In this context, the documented publication addresses a practical engineering problem relevant to ship operators, propulsion-system designers, classification and technical organizations, and researchers studying maritime energy efficiency.

Award Suitability

Sang-Su Lee’s documented research profile provides a relevant basis for consideration for the Best Researcher Award under the International Popular Scientist Awards. The basis for consideration includes an identifiable engineering research record, indexed scholarly publications, citation activity, and research addressing contemporary challenges in maritime propulsion and energy efficiency. [1]

Conclusion

Sang-Su Lee is an engineering researcher affiliated with Korean Register whose documented scholarly work addresses marine propulsion, shafting-system safety, and vessel energy-efficiency requirements. His 2024 publication on redesigned shafting following propeller redesign provides a concrete example of research connecting CII and EEXI objectives with torsional-vibration and shaft-alignment analysis. [1]

References

  1. Lee, Sang-Su. (2024). Evaluating the safety of the redesigned shafting system following the propeller redesign aimed at enhancing CII and EEXI. Results in Engineering, 23, 102352. Elsevier.
    DOI: https://doi.org/10.1016/j.rineng.2024.102352
  2. Directory of Open Access Journals. (2024). Evaluating the safety of the redesigned shafting system following the propeller redesign aimed at enhancing CII and EEXI. Author: Sang-Su Lee; affiliation information includes Korean Register, Busan, Republic of Korea.
    https://doaj.org/article/3340dc9a80af421f86bc57e253b94603
  3. Elsevier. (n.d.). Scopus author details: Sang-Su Lee, Author ID 58871667800. Scopus.
    https://www.scopus.com/pages/authors/58871667800

Zhao Lie | Health Communication | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Lie Zhao
Yunnan University, China

Lie Zhao
Affiliation Yunnan University
Country China
Documents 4
Subject Area Health Communication
Event International Popular Scientist Awards
ORCID 0000-0003-4820-4515

Lie Zhao is a researcher affiliated with Yunnan University, China, whose reported scholarly work addresses health communication and social determinants of well-being, particularly among older adults, adolescents, families, and communities. The supplied publication record comprises four journal articles spanning 2022–2026 and examines healthcare accessibility, community-based elderly care, family and peer environments, educational expectations, and behavioral development. [1][4]

Abstract

This academic recognition profile presents the research record of Lie Zhao of Yunnan University in the area of Health Communication. The supplied portfolio contains four journal articles focused on health service accessibility, subjective well-being, community-based elderly care, adolescent behavioral development, peer interaction, family environment, and educational expectations. The publications collectively indicate an interdisciplinary approach connecting communication and social-context variables with health, quality of life, and developmental outcomes.[1][4]

Keywords

Health Communication; healthcare accessibility; older adults; subjective well-being; elderly care services; quality of life; adolescent development; parental participation; peer interaction; family environment; educational expectations; China.

Introduction

Health communication is an interdisciplinary area concerned with how information, social relationships, services, institutions, and communication environments influence health-related knowledge, decisions, behaviors, and outcomes. Research in this field frequently intersects with public health, psychology, sociology, social policy, and community studies. Within this broad context, Zhao’s supplied publication record emphasizes how social and service environments relate to quality of life and developmental outcomes in Chinese populations.[1] [2]

Research Profile

Zhao’s supplied research profile is associated with Yunnan University and the subject area of Health Communication. The available record identifies four indexed or reported documents. Citation and h-index values were not supplied in the source information provided for this article and therefore are not inferred here.

  • Institutional affiliation: Yunnan University, China.
  • Subject area: Health Communication.
  • Reported documents: 4.
  • Research populations include older adults, adolescents, families, and communities in China.
  • Research themes include healthcare accessibility, quality of life, subjective well-being, elderly care, peer interaction, parental participation, family environment, and educational expectations.

Research Contributions

The supplied publications demonstrate several related research contributions. First, the work addresses the relationship between healthcare systems and individual quality of life, providing a perspective on how accessibility may vary across age groups. [2] Second, the research considers community-based elderly care and the distinction between expected and actual service provision in relation to subjective well-being, highlighting the importance of perceived and experienced service adequacy. [1]

Publications

The following publications were supplied as part of the research record. Dates, journal titles, DOIs, and contributor information are reproduced in an organized bibliographic format.

  1. Zhao, Lie; Wang, Zhijun. “Supply-demand gap and well-being loss: The relationship between expected-actual gap in community-based elderly care services and subjective well-being among older adults in China.” Acta Psychologica, 2026-09.
  2. Zhao, Lie; Yang, Huiqin. “Impact of Healthcare Accessibility on the Quality of Life of Older Adults in China and Its Age Differences.” SAGE Open, 2025-07.
  3. Zhao, Lie. “Evaluation of the Effect of Parental Participation on Chinese Adolescent Behavioral Development Through the Mediating Effect of Peers: A Moderated Mediation Model.” Psychology Research and Behavior Management, 2024-05.
  4. Zhao, Lie. “Impacts of family environment on adolescents’ academic achievement: The role of peer interaction quality and educational expectation gap.” Frontiers in Psychology, 2022-09-12, ISSN 1664-1078.

Research Impact

The research record has potential relevance to health and social policy because it addresses factors associated with access to healthcare, elderly care services, subjective well-being, and quality of life. The 2025 study specifically examines healthcare accessibility and quality of life among older adults in China, including age differences, while the 2026 study considers the relationship between expected and actual community-based elderly care services and subjective well-being. [1] [2]

Award Suitability

The supplied record provides a reasonable scholarly basis for consideration for the Best Researcher Award within the International Popular Scientist Awards. Suitability is supported by the consistency of the research themes, publication activity across multiple years, use of peer-reviewed journal outlets, and attention to socially significant questions involving health, well-being, family relationships, education, and aging.

Conclusion

Lie Zhao’s supplied publication portfolio presents a coherent interdisciplinary research trajectory in Health Communication, with particular attention to healthcare accessibility, quality of life, subjective well-being, elderly care, adolescent development, peer interaction, family environment, and educational expectations. The four listed journal articles demonstrate research activity across 2022–2026 and address questions with relevance to health, social development, and community well-being. [1][4]

References

  1. Crossref. (2026). Supply-demand gap and well-being loss: The relationship between expected-actual gap in community-based elderly care services and subjective well-being among older adults in China. Acta Psychologica.
    DOI: https://doi.org/10.1016/j.actpsy.2026.107576
  2. Crossref. (2025). Impact of Healthcare Accessibility on the Quality of Life of Older Adults in China and Its Age Differences. SAGE Open.
    DOI: https://doi.org/10.1177/21582440251356051
  3. Crossref. (2024). Evaluation of the Effect of Parental Participation on Chinese Adolescent Behavioral Development Through the Mediating Effect of Peers: A Moderated Mediation Model. Psychology Research and Behavior Management.
    DOI: https://doi.org/10.2147/PRBM.S459742
  4. Crossref. (2022). Impacts of family environment on adolescents’ academic achievement: The role of peer interaction quality and educational expectation gap. Frontiers in Psychology, 13. ISSN 1664-1078.
    DOI: https://doi.org/10.3389/fpsyg.2022.911959