Best Researcher Award
| Researcher Information |
| Researcher |
Yan Cheng |
| Affiliation |
Jiangxi Normal University |
| Country |
China |
| Scopus ID |
56984721900 |
| Documents |
38 |
| Citations |
405 |
| h-index |
8 |
| Subject Area |
Computer Science |
| Event |
International Research Scientist Awards |
Yan Cheng of Jiangxi Normal University, China, is recognized as a notable contributor within the field of Computer Science. With an established scholarly record comprising peer-reviewed publications, citations, and measurable research impact, Cheng’s academic profile reflects sustained engagement in advancing knowledge and innovation within computational and information science disciplines. This article presents a structured overview supporting consideration for the Best Researcher Award presented at the International Research Scientist Awards.[1]
Abstract
This academic recognition profile summarizes the scholarly achievements, publication record, research influence, and professional contributions of Yan Cheng. The available bibliometric indicators demonstrate consistent research activity within Computer Science, including publication output, citation performance, and interdisciplinary engagement. The profile supports evaluation for the Best Researcher Award by highlighting measurable academic accomplishments and research significance.[1]
Keywords
Yan Cheng, Computer Science, Research Excellence, Scholarly Publications, Citation Impact, Academic Recognition, Best Researcher Award, Scientific Contributions, Research Performance, International Research Scientist Awards.[1]
Introduction
Research excellence is commonly assessed through publication productivity, citation influence, academic collaboration, and contributions to scientific advancement. Yan Cheng’s scholarly activities within Computer Science demonstrate engagement with contemporary research challenges and knowledge dissemination through peer-reviewed publications. Such contributions provide a foundation for recognition within international academic award programs.[1]
Research Profile
Yan Cheng is affiliated with Jiangxi Normal University in China and has established a documented research portfolio indexed in Scopus. The researcher has authored or co-authored 38 indexed documents, accumulating 405 citations and achieving an h-index of 8. These metrics indicate a measurable level of scholarly influence and ongoing participation in the international research community.[1]
- Institutional Affiliation: Jiangxi Normal University.
- Research Domain: Computer Science.
- Indexed Publications: 38 documents.
- Citation Count: 405 citations.
- Research Impact Indicator: h-index of 8.
Research Contributions
The research contributions of Yan Cheng reflect active participation in advancing knowledge within Computer Science. Through peer-reviewed publications, collaborative research efforts, and scholarly dissemination, Cheng has contributed to the development of contemporary computational methodologies and scientific understanding. Citation performance indicates that several publications have been utilized and referenced by other researchers, reflecting broader academic relevance.[1]
Academic contributions are further demonstrated through sustained publication activity and engagement with topics that support innovation, analytical methodologies, and technological advancement. Such efforts contribute to the cumulative growth of scientific knowledge and research capacity within the discipline.[2]
Publications
Yan Cheng’s publication portfolio includes articles indexed in international scholarly databases. The publication record demonstrates sustained academic productivity and engagement with peer-reviewed dissemination channels. Representative scholarly records can be accessed through Scopus and associated DOI-indexed publications.[1]
- Scopus-indexed research articles in Computer Science.
- Collaborative research publications with international visibility.
- DOI-registered scholarly outputs contributing to scientific literature.
Research Impact
Research impact may be evaluated through citation analysis, scholarly visibility, and the extent to which published findings influence subsequent studies. Yan Cheng’s citation count of 405 and h-index of 8 indicate that the research output has received attention from the academic community and has contributed to ongoing scholarly discussions within relevant subject areas.[1]
The demonstrated citation performance suggests that Cheng’s work has achieved measurable recognition among researchers and contributes to the broader development of Computer Science scholarship. Such indicators are commonly utilized in evaluating academic excellence and research significance.[2]
Award Suitability
Based on available bibliometric indicators and documented scholarly activity, Yan Cheng demonstrates characteristics associated with competitive candidates for the Best Researcher Award. The combination of publication productivity, citation influence, institutional affiliation, and continued research engagement supports consideration for recognition within international academic award frameworks.[1]
The profile reflects evidence of sustained scholarly contribution and measurable research impact, both of which are commonly considered during evaluations for research excellence awards and professional recognition programs.[2]
Conclusion
Yan Cheng’s academic record demonstrates a consistent commitment to research, publication, and scholarly engagement within Computer Science. Through a combination of indexed publications, citation impact, and ongoing contributions to scientific knowledge, the researcher presents a strong profile for consideration within the International Research Scientist Awards and related academic recognition initiatives.[1]
External Links
References
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- Elsevier. (n.d.). Scopus author details: Yan Cheng, Author ID 56984721900.
Scopus.https://www.scopus.com/authid/detail.uri?authorId=56984721900
- Multimodal sentiment analysis based on text hierarchical information enhancement.https://eurekamag.com/research/105/648/105648439.php
- Personality-aware emotion recognition in conversation with large language models
https://www.sciencedirect.com/science/article/abs/pii/S0031320326004267?utm_source
- An expensive multi-objective evolutionary algorithm based on grid and relation learning
https://www.sciencedirect.com/science/article/abs/pii/S1568494625014486?utm_source