Lu Ran Zhang | Psychology | Best Researcher Award

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Best Researcher Award 

Lu Ran Zhang
University of Macau, Macau

Lu Ran Zhang
Affiliation University of Macau
Country Macau
Scopus ID 57221585397
Documents 17
Citations 59
h-index 5
Subject area Psychology
Event International PopularScientist Awards
ORCID 0000-0001-6241-8646

Lu Ran Zhang, affiliated with the University of Macau in Macau, and documents the supplied information associated with the Best Researcher Award under the International PopularScientist Awards. The profile summarizes the reported bibliometric indicators, outlines the role of scholarly publications in evaluating research activity, and lists selected publications supplied for reference.

Abstract

The Best Researcher Award recognizes scholarly work and research contributions within a relevant academic field. This profile records the supplied details for Lu Ran Zhang of the University of Macau, including a Scopus author identifier, publication count, citation count, and h-index. The supplied bibliometric figures are 17 documents, 59 citations, and an h-index of 5. These indicators provide a limited quantitative view of indexed research output and citation activity; they do not, by themselves, establish the quality, originality, or practical significance of individual contributions.  [1]

Keywords

Best Researcher Award; Lu Ran Zhang; University of Macau; psychology; scholarly research; bibliometrics; citation analysis; research publications; Scopus author profile; research evaluation; International PopularScientist Awards.

Introduction

Research recognition programs provide a framework for presenting scholarly activity, publication records, and potential contributions to a field. A balanced research profile combines bibliographic evidence with an assessment of the context, methods, originality, reproducibility, and relevance of the work. Quantitative indicators can support this assessment when interpreted alongside publication-level information and the standards of the relevant discipline. [2]

Research Profile

The researcher information supplied for this profile identifies Lu Ran Zhang as affiliated with the University of Macau in Macau. The subject area provided is psychology. The associated Scopus author ID is 57221585397, and the ORCID identifier supplied is 0000-0001-6241-8646. These identifiers are useful for checking author identity and distinguishing researchers with similar names, but their association should be confirmed by opening the corresponding official records. [1] [3]

Research Contributions

Research contributions are best assessed through identifiable scholarly outputs and the problems those outputs address. Relevant considerations may include the development of research questions, the suitability of study design, methodological rigor, transparent reporting, reproducibility, collaboration, and the significance of findings for the field. Citation indicators can provide contextual evidence of scholarly attention, but citation volume alone does not establish methodological quality or real-world impact. [2]

Publications

The following bibliographic records were supplied with the article request. The available metadata identifies the titles, publication venues, years, DOIs where provided, and contributor lists. However, the supplied records do not establish that these publications belong to Lu Ran Zhang. The entries are therefore included as supplied bibliographic material and must not be treated as a verified publication list for this researcher without matching the authorship information to the official records.

  1. Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers.

    Journal of Materials Science: Materials in Medicine. 2017. Journal article.

  2. Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky.

    Czech-Slovak Pediatrics. 2017. Journal article.

  3. Direct and indirect treatment of pain with lasers – Update 2016.

    Disease. 2016. Journal article.

Research Impact

The supplied profile reports 17 documents, 59 citations, and an h-index of 5. The h-index is a bibliometric measure based on the number of publications that have each received at least a specified number of citations. In this case, an h-index of 5 indicates that five indexed works have received at least five citations each within the dataset and at the time the reported value was calculated, assuming the supplied figure is accurate. [4]

Award Suitability

The Best Researcher Award, as named in the supplied event information, provides a context for presenting a candidate’s academic profile and research record. An evidence-based assessment of suitability would normally consider verified publications, research originality, methodological rigor, relevance to the declared subject area, scholarly influence, and documented contributions to the research community. Bibliometric indicators can inform this assessment but should not be used as its sole basis.

Conclusion

This article consolidates the supplied profile information for Lu Ran Zhang, including institutional affiliation, subject area, researcher identifiers, and bibliometric indicators. The reported figures provide a concise snapshot of indexed research activity, while a comprehensive academic assessment requires examination of verified publications and their contributions. The five publication records supplied with the request have been included as bibliographic material, but their authorship has not been established as belonging to Lu Ran Zhang.

References

  1. Elsevier. (n.d.). Scopus author details: Lu Ran Zhang, Author ID 57221585397. Scopus. The supplied identifier and metrics should be checked against the current author record.
    https://www.scopus.com/authid/detail.uri?authorId=57221585397
  2. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    https://doi.org/10.1038/520429a
  3. ORCID. (n.d.). ORCID record supplied for Lu Ran Zhang. ORCID.
    https://orcid.org/0000-0001-6241-8646
  4. Google scholar profile. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://scholar.google.com/citations?user=3LDD6CQAAAAJ&hl=zh-CN
  5. International Popular Scientist Awards official website.
    https://popularscientist.com/

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Walaa Badawy | Psychology | Best Researcher Award

Assist. Prof. Dr. Walaa Badawy | Psychology | Best Researcher Award

Mounfia | King Khalid | Saudi Arabia

Assist. Prof. Dr. Walaa Badawy is an accomplished Associate Professor of Psychology at King Khalid University and the Faculty of Arts at Menoufia University, Egypt, specializing in clinical psychology and psychotherapy. Her research focuses on cognitive-behavioral therapy, addiction psychology, emotional regulation, epilepsy-related psychological disorders, and mental health promotion among vulnerable populations. She has published extensively in leading international journals, contributing to areas such as resilience, artificial intelligence in healthcare, educational psychology, and geriatric mental health. Dr. Badawy’s scholarly work integrates psychological science with applied clinical practice, emphasizing evidence-based interventions to improve well-being and quality of life. She has supervised postgraduate students, served as an international peer reviewer for high-impact journals including Scientific Reports, BMC Health Services Research, and Anxiety and Depression, and is listed in the AD Scientific Index for her academic influence. Beyond research, she has delivered numerous training workshops on psychotherapy, mental health awareness, and academic counseling, reflecting her commitment to professional development and community service. Her professional memberships span global organizations such as the Society of Addiction Psychology, the International Society of Substance Use Prevention and Treatment Professionals, the Saudi Psychological Association, the American Society of Addiction Medicine, and the Egyptian Association of Psychologists. Through her multidisciplinary expertise, leadership roles in academic committees, and active engagement in conferences and community initiatives, Dr. Badawy continues to advance the field of clinical and applied psychology, fostering psychological resilience, ethical practice, and evidence-based therapeutic innovation.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Badawy, W., & Shaban, M. (2025). Exploring geriatric nurses’ perspectives on the adoption of AI in elderly care: A qualitative study. Geriatric Nursing, 41–49.

Badawy, W., Helal, M. M. I., Hashim, A., Zinhom, H., & Shaban, M. (2025). Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective. International Nursing Review, 72(1), e70013.

Badawy, W., & Shaban, M. (2025). Intergenerational relationships and their impact on social resilience amongst Arab society elderly populations: A qualitative exploration. Journal of Clinical Nursing.

Badawy, W., Shaban, M., Elsayed, H. H., & Hashim, A. (2025). Eco-conscious nursing: Qualitative analysis of nurses’ engagement with environmental sustainability in healthcare. Teaching and Learning in Nursing, 20(2), 137–147.

Badawy, W., & Shaban, M. (2025). Educational interventions to enhance empathy in undergraduate nursing students: An integrative review. Teaching and Learning in Nursing.