Innovative Research Award
| Yupeng Xin |
| Researcher |
Yupeng Xin |
| Affiliation |
Taiyuan University of Technology |
| Country |
China |
| Scopus ID |
55928014700 |
| Documents |
14 |
| Citations |
64 |
| h-index |
5 |
| Subject Area |
AI in Engineering |
| Event |
Superior Engineering Research Awards |
| ORCID |
0000-0003-2062-8826 |
Yupeng Xin
Taiyuan University of Technology, China
The Yupeng Xin, a researcher affiliated with Taiyuan University of Technology, China. His documented research activity in AI in Engineering reflects ongoing contributions to intelligent engineering methodologies, computational technologies, and applied scientific research within the engineering domain.[1]
Abstract
Yupeng Xin has established a research profile centered on artificial intelligence applications in engineering, emphasizing computational intelligence, algorithm development, and data-driven engineering solutions. His publication record indexed in Scopus demonstrates continuous engagement with emerging technologies that support engineering optimization, automation, and intelligent decision-making. These activities contribute to the broader advancement of AI-enabled engineering research.[1][2]
Keywords
- Artificial Intelligence
- Engineering Research
- Computational Intelligence
- Machine Learning
- Engineering Optimization
- Data Analytics
Introduction
Artificial intelligence has become an important component of modern engineering by enabling advanced modeling, predictive analysis, automation, and intelligent system design. Researchers working in this field contribute to both theoretical innovation and practical engineering applications through interdisciplinary methodologies. Yupeng Xin’s academic work aligns with these developments by supporting research in intelligent engineering systems and computational approaches.[1]
Research Profile
According to publicly indexed scholarly records, Yupeng Xin is affiliated with Taiyuan University of Technology, China. His Scopus profile records 14 indexed publications, 64 citations, and an h-index of 5, indicating sustained scholarly engagement and measurable academic influence within AI-oriented engineering research.[1]
Research Contributions
The research contributions associated with Yupeng Xin include the application of artificial intelligence techniques to engineering challenges involving intelligent computation, predictive modeling, optimization strategies, and data-driven analytical methods. Such research supports improved engineering efficiency, enhanced decision-support systems, and the integration of intelligent technologies into engineering practice.[2]
Publications
The research portfolio includes peer-reviewed scholarly publications indexed in Scopus covering topics related to artificial intelligence, computational engineering, intelligent algorithms, and engineering applications. These publications collectively demonstrate continued academic participation in internationally recognized scientific literature.[1]
Research Impact
Citation metrics and indexed publications indicate that Yupeng Xin’s research has contributed to scholarly discussions within AI in Engineering. Citation activity reflects recognition by other researchers and supports the dissemination of engineering knowledge through peer-reviewed academic communication.[1]
Award Suitability
Based on publicly available academic indicators, indexed scholarly publications, and ongoing research activity in AI-enabled engineering, Yupeng Xin demonstrates characteristics commonly associated with candidates recognized through engineering research awards. The documented research profile reflects sustained academic productivity, measurable citation performance, and contributions to emerging engineering technologies, consistent with the objectives of the Superior Engineering Research Awards.[1][4]
Conclusion
Yupeng Xin represents an active researcher whose work contributes to the continuing development of artificial intelligence applications within engineering. Through scholarly publications, citation impact, and institutional research activities, the academic profile reflects ongoing participation in advancing engineering knowledge while supporting innovation across computational and intelligent engineering disciplines.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Yupeng Xin, Author ID 55928014700. Scopus.https://www.scopus.com/authid/detail.uri?authorId=55928014700
- Crossref. (n.d.). Digital Object Identifier reference for engineering artificial intelligence research.
https://doi.org/10.1016/j.eswa.2023.121061
- ORCID. (n.d.). ORCID record: Yupeng Xin.
https://orcid.org/0000-0003-2062-8826
- Superior Engineering Research Awards. (n.d.). Official Award Website.
https://superiorengineering.org/