Best Researcher Award
| Yongpeng Shi |
| Affiliation |
Chinese Academy of Sciences |
| Country |
China |
| Scopus ID |
57219250662 |
| Documents |
17 |
| Citations |
321 |
| h-index |
11 |
| Subject Area |
Computational Materials Science |
| Event |
Global Academic Awards |
Yongpeng Shi
Chinese Academy of Sciences, China
Yongpeng Shi, a researcher affiliated with the Chinese Academy of Sciences. His work in computational materials science has contributed to the advancement of theoretical and computational approaches used to investigate material properties, structural behavior, and emerging functional materials. Through peer-reviewed publications, citation impact, and sustained academic engagement, the researcher has demonstrated notable contributions within the international scientific community.[1]
Abstract
Yongpeng Shi has established a research profile in computational materials science through investigations involving theoretical modeling, numerical simulation, and materials characterization frameworks. His scholarly output demonstrates engagement with contemporary scientific challenges related to material design, performance prediction, and computational analysis. Citation indicators and publication records suggest a growing academic influence within specialized research domains.[1][2]
Keywords
Computational Materials Science, Materials Modeling, Theoretical Simulations, Functional Materials, Scientific Computing, Materials Engineering, Research Excellence, Citation Impact, Academic Recognition, Best Researcher Award
Introduction
Computational materials science has become an essential discipline for understanding and predicting the behavior of materials under diverse physical and chemical conditions. By integrating advanced computational methodologies with experimental observations, researchers are able to accelerate materials discovery and optimize performance characteristics. Within this context, Yongpeng Shi has contributed to scientific investigations that support the broader development of computational approaches for materials research.[2]
Research Profile
Affiliated with the Chinese Academy of Sciences, Yongpeng Shi has developed a publication record comprising seventeen indexed scholarly documents. The available bibliometric indicators include 321 citations and an h-index of 11, reflecting measurable academic engagement and influence within the scientific literature.[1]
- Institutional Affiliation: Chinese Academy of Sciences
- Primary Discipline: Computational Materials Science
- Scopus Indexed Publications: 17
- Total Citations: 321
- h-index: 11
- Research Focus: Computational analysis and materials modeling
Research Contributions
The research contributions associated with Yongpeng Shi involve the application of computational methodologies to address scientific questions in materials science. Such work often supports understanding of atomic-scale interactions, structural stability, electronic properties, and material optimization strategies. Computational investigations provide valuable insights that complement laboratory-based studies and contribute to evidence-based material design.[2]
- Development and application of computational materials models.
- Investigation of material properties using simulation-based techniques.
- Contribution to peer-reviewed scientific literature.
- Support for interdisciplinary materials research initiatives.
- Advancement of theoretical frameworks relevant to materials engineering.
Publications
The publication portfolio of Yongpeng Shi includes research articles indexed within international scholarly databases. These publications contribute to scientific discourse within computational materials science and related interdisciplinary fields.[1]
- Peer-reviewed journal articles in computational materials science.
- Studies involving numerical simulation and predictive modeling.
- Research addressing material structure-property relationships.
- Contributions cited within international academic literature.
Representative scholarly publications within the field commonly reference computational methodologies and advanced materials analyses through recognized DOI-linked research outputs.[3]
Research Impact
Research impact may be evaluated through publication quality, citation activity, scholarly visibility, and contributions to ongoing scientific developments. The citation record associated with Yongpeng Shi indicates engagement by fellow researchers and suggests that published findings have informed subsequent investigations. Such metrics are frequently considered indicators of research dissemination and academic relevance.[1]
- 321 citations recorded within indexed databases.
- h-index of 11 demonstrating sustained citation activity.
- International visibility through scholarly publications.
- Contribution to advancing computational materials science research.
Award Suitability
The Best Researcher Award recognizes individuals who have demonstrated sustained scholarly productivity, measurable research impact, and meaningful contributions to their academic disciplines. Based on available bibliometric indicators, publication activity, and subject-matter specialization, Yongpeng Shi demonstrates characteristics that align with evaluation criteria frequently applied in academic recognition programs. His research activity within computational materials science supports the objectives of advancing scientific knowledge and fostering innovation through rigorous investigation.[1][2]
Conclusion
Yongpeng Shi represents an active contributor within the field of computational materials science through a combination of scholarly publications, citation impact, and ongoing research engagement. His academic record reflects participation in advancing computational approaches to materials research and supports consideration for recognition through the Best Researcher Award presented by the Global Academic Awards. Continued contributions within this domain are expected to further strengthen scientific understanding and technological development in materials science.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Yongpeng Shi, Author ID 57219250662. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57219250662
- Gut microbiota in treating inflammatory digestive diseases: Current challenges and therapeutic opportunities.
https://pmc.ncbi.nlm.nih.gov/articles/PMC11865350/
- Colchicine disrupts bile acid metabolic homeostasis by affecting the enterohepatic circulation in mice.
https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/jat.4587