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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.
- Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers.
Journal of Materials Science: Materials in Medicine. 2017. Journal article.
- Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky.
Czech-Slovak Pediatrics. 2017. Journal article.
- 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.
External Links
References
- 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 - 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 - ORCID. (n.d.). ORCID record supplied for Lu Ran Zhang. ORCID.
https://orcid.org/0000-0001-6241-8646 - Google scholar profile. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
https://scholar.google.com/citations?user=3LDD6CQAAAAJ&hl=zh-CN - International Popular Scientist Awards official website.
https://popularscientist.com/
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