Best Researcher Award
Yung-Chien Hsu — Chiayi Chang Gung Memorial Hospital, Taiwan
Yung-Chien Hsu is identified in the supplied researcher profile as being affiliated with Chiayi Chang Gung Memorial Hospital in Taiwan and working in the field of healthcare data analysis. The profile provides bibliometric information including 42 documents, 1,523 citations, and an h-index of 21. These indicators are presented as descriptive research-profile information and may be considered alongside publication quality, collaboration, research relevance, and broader academic contributions when assessing research recognition. Bibliometric indicators are commonly used as supplementary measures of scholarly activity, although they do not independently establish the quality or significance of individual research outputs. [1][2]
Abstract
Healthcare data analysis integrates clinical, administrative, and research data to support evidence-based decision-making, quality improvement, and efficient health-service planning. For Yung-Chien Hsu, the research profile emphasizes this subject area within an academic and clinical environment, where systematic analysis can help identify patterns, evaluate outcomes, and inform data-driven healthcare practices. The Best Researcher Award recognizes scholarly activity through documented research indicators, including publications, citations, and h-index. Hsu’s supplied profile reports 42 documents, 1,523 citations, and an h-index of 21. These indicators provide measurable evidence for evaluating research visibility, while the award framework may consider broader academic contribution, relevance, and sustained engagement.
Keywords
Healthcare data analysis; medical informatics; bibliometrics; research impact; scholarly communication; clinical data; research evaluation; academic recognition.
Introduction
Healthcare data analysis encompasses methods for organizing, examining, interpreting, and communicating information generated through healthcare delivery and research. Its applications include clinical research, health-service evaluation, quality improvement, epidemiological assessment, and evidence-informed planning. Increasing availability of digital health information has expanded opportunities for researchers to investigate complex healthcare questions using structured and reproducible analytical approaches. [3]
Within this context, researcher evaluation may incorporate both qualitative and quantitative evidence. Publication records, citation counts, and h-index values can provide indicators of scholarly visibility, while expert assessment remains important for determining methodological quality, originality, relevance, and contribution to a field. [1][2] The present article summarizes the supplied academic profile of Yung-Chien Hsu in relation to the Best Researcher Award.
Research Profile
The supplied profile identifies Yung-Chien Hsu with Chiayi Chang Gung Memorial Hospital in Taiwan and associates the researcher with healthcare data analysis. The stated Scopus identifier is 54887731400, while the reported publication and citation indicators are 42 documents, 1,523 citations, and an h-index of 21. These figures should be interpreted as profile-level bibliometric information and may change as databases are updated. [2]
Research Contributions
The researcher profile places healthcare data analysis at the center of the reported subject area. Research in this domain can contribute to healthcare by transforming complex datasets into interpretable evidence for clinical, operational, and research decisions. Depending on the specific studies involved, relevant contributions may include data preparation, statistical analysis, outcome evaluation, predictive modelling, and interpretation of healthcare-related information.
Publications
The supplied profile reports 42 documents associated with the researcher. Because individual publication titles, journals, publication years, authorship positions, and DOI identifiers were not supplied, this article does not assign specific publications or DOI records to Yung-Chien Hsu without independent bibliographic verification. The Scopus author profile provides an appropriate starting point for reviewing the current indexed publication record. [1]
Research Impact
The supplied citation count of 1,523 and h-index of 21 indicate measurable scholarly visibility within the stated profile. The h-index is intended to combine publication productivity and citation impact, although it is sensitive to disciplinary and career-stage differences and should not be treated as a complete measure of research quality. [2]
Award Suitability
The International Research Data Analysis Excellence & Awards is identified in the supplied information as the event associated with the Best Researcher Award. Based on the supplied profile, Hsu has documented bibliometric indicators that may be relevant to a research-recognition assessment, including 42 documents, 1,523 citations, and an h-index of 21. [3]
Conclusion
Yung-Chien Hsu is presented in the supplied profile as a researcher affiliated with Chiayi Chang Gung Memorial Hospital in Taiwan and working in healthcare data analysis. The reported record of 42 documents, 1,523 citations, and an h-index of 21 provides quantitative evidence of scholarly activity and visibility. These indicators may support consideration for research recognition, while a complete award assessment should incorporate independently verified publications, research quality, originality, relevance, and documented impact.
External Links
References
- Lin, S.-J., Liu, C.-C., Tsai, D. M. T., Shih, Y.-H., Lee, C.-P., Chen, K.-J., Yang, Y.-H., Hsu, Y.-C., & Lin, C.-L. (n.d.). Association of Danshen use with all-cause and cardiovascular mortality among patients with advanced chronic kidney disease.
https://www.sciencedirect.com/science/article/pii/S1876382025001313
- Hsu, Y.-C. (n.d.). ORCID profile of Yung-Chien Hsu. ORCID Registry.
https://orcid.org/0000-0002-8309-0579
- Elsevier. (n.d.). Scopus author details: Yung-Chien Hsu. Scopus.
https://www.scopus.com/pages/authors/54887731400