| Xiaohu Lin |
| Affiliation |
Xi’an University of Science and Technology |
| Country |
China |
| Scopus ID |
57210975122
|
| Documents |
28 |
| Citations |
357 |
| h-index |
9 |
| Subject Area |
Robotics and Automation |
| Event |
The Scientist Global Awards |
Xiaohu Lin is a researcher affiliated with Xi’an University of Science and Technology, China, whose scholarly activities contribute to the advancement of robotics and automation research. Through a growing body of peer-reviewed publications, citation impact, and academic engagement, Lin has participated in research areas associated with intelligent systems, automation technologies, and engineering innovation. The academic indicators presented in this profile, including publication output, citation performance, and h-index, provide a quantitative overview of scholarly influence within the research community.[1]
Abstract
This article presents an academic recognition profile of Xiaohu Lin, highlighting research activities, publication performance, scholarly contributions, and measurable academic impact within the field of robotics and automation. The profile examines available bibliometric indicators and summarizes research relevance in engineering and intelligent automation systems. The information is organized in a scholarly format consistent with academic recognition and award evaluation practices.[1]
Keywords
Robotics, Automation, Intelligent Systems, Engineering Research, Scholarly Impact, Citation Analysis, Research Excellence, Scientific Recognition, Innovation, Academic Achievement.
Introduction
The field of robotics and automation continues to influence modern industry, manufacturing, digital transformation, and intelligent control systems. Researchers working within this domain contribute to technological progress through the development of automated processes, smart devices, and advanced computational methodologies. Xiaohu Lin’s scholarly activities align with these objectives through research output that supports the advancement of automation-related knowledge and engineering applications.[2]
Research Profile
Xiaohu Lin is affiliated with Xi’an University of Science and Technology, a recognized institution engaged in scientific and engineering education and research. Based on available bibliometric indicators, Lin has produced 28 indexed scholarly documents, accumulated 357 citations, and achieved an h-index of 9. These metrics indicate active participation in academic publishing and measurable influence within relevant research communities.[1]
Research Contributions
Lin’s contributions are associated with robotics, automation engineering, intelligent control technologies, and related computational applications. Research within these domains commonly addresses efficiency improvement, system optimization, intelligent sensing, automation integration, and technological innovation. Such work supports scientific advancement while also contributing to practical industrial applications and future technological developments.[2]
Publications
The publication portfolio attributed to Xiaohu Lin demonstrates continuing scholarly engagement within robotics and automation research. Indexed documents contribute to the scientific literature and provide evidence of sustained academic productivity. Publication quality and citation reception collectively indicate visibility among researchers working in related technological and engineering disciplines.[1]
Research Impact
Research impact may be evaluated through citation performance, publication quality, scholarly influence, and disciplinary relevance. With 357 citations and an h-index of 9, Xiaohu Lin demonstrates a measurable level of academic engagement and influence. Citation indicators suggest that published work has been utilized, referenced, and acknowledged by other researchers, reflecting contribution to ongoing scientific discourse.[1]
Award Suitability
The Best Researcher Award recognizes individuals who demonstrate sustained scholarly activity, research productivity, academic influence, and meaningful contributions to scientific advancement. Based on documented publication output, citation performance, and specialization within robotics and automation, Xiaohu Lin represents a candidate whose profile aligns with common evaluation criteria used for academic recognition programs. The demonstrated record of research dissemination and measurable impact supports consideration for recognition within international scientific award platforms.[1]
Conclusion
Xiaohu Lin’s academic profile reflects active engagement in robotics and automation research through publication activity, citation performance, and contributions to engineering scholarship. The available bibliometric indicators provide evidence of scholarly visibility and influence, while continued research activity supports the advancement of knowledge within automation and intelligent systems. These accomplishments collectively support recognition through academic distinction and research excellence awards.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Xiaohu Lin, Author Profile. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57210975122
- Xiaohu Lin. (2026). A hybrid deep learning and empirical model for short-term spatio-temporal ZTD forecasting for China
.https://link.springer.com/article/10.1007/s00190-026-02050-z
- Xiaohu Lin. (2025). An accurate point cloud registration method based on adaptive weighting of point-pair distance and shape features for underground coal mines. https://www.sciencedirect.com/science/article/abs/pii/S0263224125021153
- The Scientist Global Awards. (n.d.). Official Award Website. https://thescientists.net/