Research Excellence Award
Xiaolei Li
Yanshan University
| Xiaolei Li |
| Affiliation |
Yanshan University |
| Country |
China |
| Scopus ID |
56383921900 |
| Documents |
145 |
| Citations |
2120 |
| h-index |
25 |
| Subject Area |
Control Science and Engineering |
| Event |
International Young Scientist Award |
| ORCID |
0000-0002-5527-6042 |
Xiaolei Li is a researcher affiliated with Yanshan University in China whose scholarly work has contributed to the advancement of control science and engineering through interdisciplinary studies involving intelligent systems, automation technologies, nonlinear dynamics, and advanced engineering methodologies. The researcher has established a significant academic profile through an extensive publication record, citation impact, and collaborative scientific engagement within the international research community.[1] The academic contributions associated with this profile demonstrate continuing engagement in high-impact engineering research and scientific dissemination activities relevant to emerging technological developments.[2]
Abstract
This academic recognition article presents a structured overview of the scholarly profile and research achievements of Xiaolei Li of Yanshan University. The researcher has demonstrated consistent contributions to the field of control science and engineering through peer-reviewed publications, interdisciplinary engineering investigations, and collaborative scientific studies. The academic record reflects sustained citation performance, significant research dissemination, and recognized engagement within engineering and applied technology domains.[1] The profile further indicates relevance to contemporary developments in intelligent control systems, automation, nonlinear system analysis, and computational engineering methodologies.[3]
Keywords
- Control science and engineering
- Automation systems
- Intelligent control
- Engineering research
- Nonlinear dynamics
- Computational systems
- Research impact
- Scientific recognition
Introduction
The discipline of control science and engineering plays a central role in modern industrial automation, robotics, cyber-physical systems, and intelligent manufacturing processes. Researchers working within this domain contribute toward the development of efficient computational models, adaptive control strategies, and robust engineering frameworks capable of supporting technological innovation across diverse industrial sectors.[4]
Within this context, Xiaolei Li has established a research profile characterized by scholarly productivity and interdisciplinary engineering engagement. The publication metrics associated with the researcher demonstrate continuing academic activity and international visibility within engineering and applied sciences. Citation indicators and indexed publications further suggest measurable influence within specialized scientific communities focused on automation and advanced systems engineering.[1]
Research Profile
Xiaolei Li is affiliated with Yanshan University, an institution recognized for engineering and applied sciences research in China. The research profile includes 145 indexed documents with a cumulative citation count exceeding 2,120 citations and an h-index of 25, indicating a consistent level of scholarly influence and publication quality.[1]
The academic work associated with this profile encompasses areas related to intelligent control methodologies, automation systems, dynamic system modeling, computational analysis, and interdisciplinary engineering applications. The combination of publication output and citation metrics reflects active participation in peer-reviewed scientific communication and collaborative research initiatives.[2]
Research Contributions
The research contributions of Xiaolei Li are associated with the advancement of theoretical and applied engineering methodologies within control science and automation technologies. Scholarly investigations have addressed analytical frameworks relevant to system optimization, intelligent computational modeling, and adaptive engineering architectures used in modern industrial systems.[3]
Published studies further demonstrate engagement with emerging engineering challenges involving nonlinear systems, intelligent algorithms, and integrated automation environments. The interdisciplinary nature of the research portfolio supports the broader scientific objective of improving efficiency, stability, and responsiveness within advanced engineering systems.[5]
- Development of engineering methodologies relevant to intelligent control systems.
- Research contributions involving automation technologies and computational modeling.
- Participation in interdisciplinary engineering and systems research.
- Scientific dissemination through peer-reviewed academic publications.
Publications
The publication record of Xiaolei Li demonstrates sustained academic productivity in engineering and applied technological sciences. Research outputs indexed through international academic databases indicate contributions to peer-reviewed journals and collaborative scientific literature associated with automation, systems engineering, and intelligent control technologies.[1]
- Research articles addressing control system analysis and intelligent engineering methodologies.
- Collaborative publications involving computational modeling and dynamic systems.
- Engineering studies published in indexed international scientific journals.
- Conference and scholarly dissemination activities related to automation research.
Several publications linked to the research profile are associated with indexed scientific repositories and DOI-based scholarly identification systems, facilitating accessibility and citation tracking within the academic community.
Research Impact
The research impact associated with Xiaolei Li is reflected through citation metrics, publication visibility, and continued engagement within the international engineering research landscape. An h-index of 25 and citation count exceeding 2,120 citations indicate measurable academic influence and recurring scholarly referencing within the field of control science and engineering.[1]
The research profile further demonstrates alignment with evolving scientific priorities in intelligent systems, automation, and computational engineering applications. The combination of indexed publications and citation performance supports recognition within scientific communities engaged in engineering innovation and technological development.[2]
Award Suitability
The academic record and research achievements of Xiaolei Li indicate suitability for recognition through the International Young Scientist Award. The demonstrated publication productivity, citation influence, and interdisciplinary engineering engagement reflect qualities commonly associated with emerging scientific leadership and sustained research contribution.
Participation in internationally indexed scientific research, combined with continuing contributions to engineering and automation sciences, supports the broader objectives of recognizing impactful and innovative researchers within global scientific communities. The profile reflects both scholarly consistency and engagement with technologically relevant research areas.[4]
Conclusion
Xiaolei Li has established a notable academic presence within the field of control science and engineering through a combination of scholarly publications, citation performance, and interdisciplinary engineering research activities. The academic profile demonstrates continuing scientific engagement and measurable research visibility within international engineering communities.[1]
The documented research contributions and publication metrics support recognition through academic distinction programs such as the International Young Scientist Award. The profile reflects a sustained commitment to scientific inquiry, engineering innovation, and collaborative knowledge dissemination within modern technological research domains.
External Links
References
- Elsevier. (n.d.). Scopus author details: Xiaolei Li, Author ID 56383921900. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56383921900
- Google Scholar. (n.d.). Scholar profile and citation metrics for Xiaolei Li.
https://scholar.google.com/citations?user=ET-qMa4AAAAJ&hl=en&oi=sra
- DOI Foundation. (2020). Engineering systems and intelligent automation research publication.
https://doi.org/10.1016/j.automatica.2020.109083
- Yanshan University. (n.d.). Engineering and applied sciences research overview.
https://english.ysu.edu.cn/
- International engineering literature sources discussing intelligent control and nonlinear systems methodologies.
https://doi.org/10.1109/TIE.2019.2952815