Wei Li | Mechanical Engineering | Research Excellence Award

Prof. Wei Li | Mechanical Engineering | Research Excellence Award

Dean | Jiangsu University | China

Prof. Wei Li is a distinguished researcher in fluid machinery and turbomachinery, recognized for his impactful contributions to pump engineering and unsteady flow analysis. His research interests focus on centrifugal, mixed-flow, and axial-flow pumps, cavitation and multiphase flow, hydrogen circulation pumps, flow instability, rotating stall, entropy-based energy loss analysis, and performance optimization during transient operating conditions. His research skills include advanced computational fluid dynamics (CFD), turbulence modeling (WA, DES), reduced-order modeling, numerical simulation of unsteady flows, and experimental flow diagnostics such as Particle Image Velocimetry (PIV). Prof. Li’s work bridges theory and application, supporting high-efficiency and low-loss pump designs for energy and hydrogen systems. His scholarly excellence has earned him recognition through high-impact journal publications and strong citation performance, reflecting his influence in fluid and thermal engineering. According to Scopus, Prof. Wei Li has published 216 documents, accumulated 3,913 citations, and achieved an h-index of 31, underscoring his sustained academic impact and leadership in the field.

 

Citation Metrics (Scopus)

3913
3000
2000
1000
0

Citations

3,913

Documents

216

h-index

31

Citations

Documents

h-index

View Scopus    View ResearchGate

Featured Publications

 

Shirui Guo | Mechanical Engineering | Best Researcher Award

Mr. Shirui Guo | Mechanical Engineering | Best Researcher Award

Professor | Zhongyuan University of Technology | China

Dr. Shirui Guo is a highly accomplished researcher and academic at Zhongyuan University of Technology, China, where he has served since 2014, contributing extensively to the fields of laser cladding, additive manufacturing, advanced materials engineering, and intelligent manufacturing systems. He earned his Ph.D. in Mechanical Engineering with a focus on laser-based materials processing, and since then has established himself as a leading scholar with more than 50 publications in high-impact Scopus and Web of Science indexed journals and conferences, including IEEE, Applied Optics, Journal of the Optical Society of America A, with a solid 194 Citations, 53 Documents ,7 H-index Journal of Materials Engineering and Performance, and Crystals. His research interests span laser surface modification, powder bed fusion, optical sensing, deep learning applications in manufacturing, and microstructure-property correlations of advanced coatings. Dr. Guo’s professional skills include laser processing optimization, numerical simulation, experimental design, microstructure characterization, and AI-driven data modeling for materials behavior prediction. He has actively collaborated with international research teams and has contributed significantly as a reviewer for leading journals such as Surface & Coatings Technology, Optics and Lasers in Engineering, and Progress in Additive Manufacturing, reflecting his strong reputation in the global research community. His scholarly work is well recognized, with a solid citation record and H-index demonstrating academic influence. In recognition of his contributions, he has been invited to participate in peer review panels, technical committees, and has played mentoring roles for graduate students, nurturing the next generation of researchers. His future goals include expanding Q1 journal outputs, increasing global collaborations, and contributing to international conferences and editorial boards. Overall, Dr. Shirui Guo stands out as a dedicated researcher whose innovative work has advanced both fundamental understanding and industrial applications of laser-based technologies, making him an outstanding candidate for prestigious research awards and a role model within the materials engineering community.

Profiles: Scopus | ORCID

Featured Publications

Guo, S., Wang, E., Du, Q., Chen, S., Guo, C., Cui, L., Li, X., Chen, Y., & Zhao, Y. (2025). YOLO-MPID: An improved YOLOv5 network for in situ detection of laser cladding melt pool states. Journal of the Optical Society of America A.

Cui, L., Shi, P., Chen, Y., Guo, S., Li, X., Cui, Y., Zheng, B., & Zhao, Y. (2025). Research on controlling secondary cutting by optimizing the texture-edge distance of micro-textured polycrystalline cubic boron nitride tools. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering.

Cui, L., Liu, S., Li, X., Wang, M., Guo, S., Cui, Y., Chen, Y., & Zheng, B. (2025). Study of microstructure and surface morphology of AlSi10Mg alloy manufactured by laser powder bed fusion. Journal of Materials Engineering and Performance.

Chen, S., Zhou, Y., Peng, P., Guo, S., Yang, L., & Guo, C. (2025). Wear and corrosion resistance of 304SS coating using high speed laser cladding. International Journal of Precision Engineering and Manufacturing.

Guo, S., Cui, L., Song, S., Cui, Y., Li, X., Chen, Y., & Zheng, B. (2024). Influence of defocusing amount on powder flow convergence characteristics and forming microstructure of coaxial powder feeding laser cladding. Journal of Materials Engineering and Performance.