Chia-Ying Chang | Agricultural | Women Researcher Award

Published on by International Popular Scientist Awards

Women Researcher Award

              Chia-Ying Chang
Affiliation National Pingtung University of Science and Technology
Country Taiwan
Scopus ID 57710410200
Documents 4
Citations 34
h-index 3
Subject Area Agricultural
Event International Popular Scientist Awards
ORCID 0009-0004-6473-3745

Chia-Ying Chang

National Pingtung University of Science and Technology, Taiwan

Chia-Ying Chang  the Women Researcher Award recognizes researchers whose scholarly activities contribute to scientific advancement through research excellence, academic publications, and disciplinary impact. Chia-Ying Chang is affiliated with the National Pingtung University of Science and Technology and has established an emerging research profile in the agricultural sciences through peer-reviewed publications and measurable citation performance.[1]

Abstract

This article summarizes the academic profile of Chia-Ying Chang in relation to the Women Researcher Award. The profile highlights institutional affiliation, research productivity, scholarly publications, citation indicators, and contributions within the agricultural sciences. The evaluation is based on publicly available scholarly information including author indexing services and peer-reviewed research outputs.[1]

Keywords

Women Researcher Award; Agricultural Science; Chia-Ying Chang; National Pingtung University of Science and Technology; Scopus Author; Scientific Publications; Citation Impact; Academic Recognition.

Introduction

Recognition programs for researchers acknowledge sustained scholarly contributions, research quality, publication records, and scientific influence. Within agricultural sciences, early and mid-career researchers play an important role in developing innovative approaches that contribute to sustainable production systems, food security, and scientific understanding. Chia-Ying Chang represents an academic profile characterized by peer-reviewed publications and measurable research visibility.[2]

Research Profile

Affiliated with the National Pingtung University of Science and Technology, the researcher specializes in Agricultural Sciences and has established a recognized academic profile. With a Scopus Author ID of 57710410200, the researcher has published 4 indexed documents, received 34 citations, and achieved an h-index of 3, reflecting a growing contribution to agricultural research.

Research Contributions

Chia-Ying Chang has contributed to agricultural research through peer-reviewed scientific publications. Research outputs have supported scholarly communication within the discipline and contributed to the broader academic literature. Citation metrics indicate that published work has received recognition from the scientific community and continues to contribute to ongoing research developments.[1]

Publications

The researcher has authored multiple Scopus-indexed, peer-reviewed publications that contribute to the advancement of agricultural science. Several publications are assigned Digital Object Identifiers (DOIs), ensuring accessibility and recognition within the global scholarly community.

Research Impact

Citation-based indicators demonstrate measurable academic visibility. The available Scopus metrics report four indexed documents, thirty-four citations, and an h-index of three, reflecting scholarly engagement with published research outputs. These indicators provide quantitative evidence supporting research dissemination and scientific influence.[1]

Award Suitability

Based on publicly available academic information, Chia-Ying Chang demonstrates characteristics commonly considered during evaluations for research recognition programs, including peer-reviewed publications, citation impact, institutional affiliation, and continued contributions to agricultural science. These factors align with the objectives of the International Popular Scientist Awards, which recognize scientific achievement through objective scholarly indicators and research excellence.[1]

Conclusion

Chia-Ying Chang’s academic profile reflects continued engagement in agricultural research through indexed publications and measurable scholarly impact. Her institutional affiliation, citation performance, and publication record collectively support recognition within academic award programs that emphasize scientific contribution, research quality, and professional achievement.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Chia-Ying Chang, Author ID 57710410200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57710410200
  2. National Pingtung University of Science and Technology. (n.d.). Institutional information and academic profile.
  3. Crossref. (n.d.). Digital Object Identifier (DOI) Registry for scholarly publications.
  4. Chang, C.-Y. (2026). Thermal imaging-based detection of sow and piglet behaviors under imbalanced conditions in commercial farrowing pens.

Mahmoud Elamshity | Agricultural | Innovative Research Award

Published on by International Popular Scientist Awards

Innovative Research Award

Mahmoud Elamshity
King Saud University, Saudi Arabia
Mahmoud Elamshity
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 58905480200
Documents 5
Citations 26
h-index 3
Subject Area Agricultural
Event International Popular Scientist Awards
ORCID
0000-0003-4396-4283

Mahmoud Elamshity  the Innovative Research Award recognizes distinguished scholarly contributions in the agricultural sciences and interdisciplinary research domains associated with sustainability, scientific innovation, and applied academic advancement. Mahmoud Elamshity of King Saud University has demonstrated measurable academic contributions through indexed publications, citation performance, and participation in internationally recognized scientific activities.[1] The recognition reflects a sustained commitment to advancing scientific inquiry within agricultural and environmental research fields.[2]

Abstract

Mahmoud Elamshity has contributed to academic research activities associated with agricultural sciences and interdisciplinary environmental studies through publications indexed in international scientific databases. The researcher’s documented scholarly metrics, including citation counts and indexed research output, indicate ongoing participation in research dissemination and academic collaboration.[1] Recognition through the International Popular Scientist Awards reflects professional engagement with scientific innovation, research communication, and scholarly visibility within the global academic community.[3]

Keywords

Agricultural Research, Scientific Innovation, Environmental Studies, Sustainable Agriculture, Academic Recognition, Research Publications, Citation Analysis, King Saud University, Interdisciplinary Science, Research Impact

Introduction

Academic recognition programs play a significant role in highlighting the importance of scientific inquiry and interdisciplinary collaboration. The Innovative Research Award acknowledges researchers whose work demonstrates measurable scholarly engagement, publication activity, and research relevance within evolving scientific fields.[3] Mahmoud Elamshity’s association with King Saud University and contributions to agricultural research align with broader institutional goals related to sustainability, innovation, and applied scientific advancement.[2]

The researcher’s indexed academic profile reflects participation in internationally accessible research databases, including Scopus and ORCID systems, which support research transparency and scholarly identification across disciplines.[1] Such profiles provide a standardized framework for evaluating publication metrics, citations, and institutional affiliations in contemporary academic assessment.

Research Profile

Mahmoud Elamshity is affiliated with King Saud University in Saudi Arabia and has established a developing research profile within the agricultural sciences. The Scopus Author ID 58905480200 identifies a documented record of scholarly publications and citation activity associated with the researcher’s academic output.[1]

The research profile demonstrates engagement with scholarly publication systems that support academic visibility, citation tracking, and international research dissemination. Such metrics are commonly utilized in assessing research productivity and institutional contribution within higher education systems.[1]

Research Contributions

Research contributions associated with Mahmoud Elamshity primarily relate to agricultural and environmental research themes that support sustainable scientific development and evidence-based methodologies. The researcher’s publication activity reflects participation in scientific communication and peer-reviewed dissemination processes.[4]

Scientific contributions in agricultural disciplines frequently address challenges associated with sustainability, food systems, environmental adaptation, and resource management. The recognition of such contributions through academic award programs highlights the broader relevance of research activities within regional and international scientific communities.[3]

Publications

The researcher’s publication record includes peer-reviewed scientific outputs indexed through academic citation databases. Publication metrics contribute to assessing research productivity, scholarly influence, and academic engagement within the agricultural sciences.[1]

Research Impact

Research impact may be evaluated through several academic indicators, including citation counts, publication visibility, collaborative activities, and contribution to scientific discourse. Mahmoud Elamshity’s indexed citation metrics indicate engagement with broader academic audiences and scholarly referencing within relevant subject areas.[1]

Institutional affiliations with internationally recognized universities further contribute to research dissemination and academic networking opportunities. The integration of citation databases and digital researcher identifiers improves the accessibility and transparency of scientific contributions across disciplines.[2]

Award Suitability

The Innovative Research Award is intended to acknowledge researchers whose scholarly work demonstrates relevance, measurable impact, and continued participation in scientific advancement. Mahmoud Elamshity’s research profile aligns with several criteria commonly associated with academic recognition programs, including indexed publication records, citation performance, and institutional research involvement.[3]

The combination of Scopus-indexed outputs, ORCID registration, and interdisciplinary research engagement reflects the growing importance of transparent and internationally connected scientific contributions. Recognition through the International Popular Scientist Awards therefore represents both scholarly visibility and ongoing commitment to academic research excellence.[1]

Conclusion

Mahmoud Elamshity’s academic profile illustrates active participation in agricultural and interdisciplinary scientific research through indexed publications, citation engagement, and institutional collaboration. The Innovative Research Award recognizes these scholarly activities within the broader context of scientific advancement and international academic contribution.[1] Continued research dissemination through recognized academic platforms contributes to the visibility and development of contemporary agricultural sciences and sustainability-oriented research initiatives.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Mahmoud Elamshity, Author ID 58905480200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58905480200
  2. King Saud University. (n.d.). Institutional research and academic profile information.
    https://ksu.edu.sa/
  3. International Popular Scientist Awards. (n.d.). Award recognition and scientific achievement programs.
    https://popularscientist.com/
  4. ORCID. (n.d.). ORCID profile for Mahmoud Elamshity.
    https://orcid.org/0000-0003-4396-4283
  5. Elamshity, M. G., & Alhamdan, A. M. (2026). Predictive modeling and optimization of date juice production using artificial intelligence processes.