Steven Sheng-Uei Guan | Machine Learning for Computer Vision | Research Excellence Award

Prof. Dr. Steven Sheng-Uei Guan | Machine Learning for Computer Vision | Research Excellence Award

Professor | Xi’an Jiaotong-Liverpool University | Australia

Prof. Dr. Steven Sheng Uei Guan is an accomplished researcher at Xi’an Jiaotong-Liverpool University, China, with a Scopus h-index of 25, over 244 publications, and more than 2,362 citations. His research expertise spans human–object interaction detection, graph neural networks, continual learning, human–robot interaction, blockchain-enabled data trading, and intelligent healthcare systems. Dr. Guan has collaborated with over 200 international co-authors, reflecting his strong global research network. His work contributes significantly to advancing artificial intelligence for real-world perception, secure data sharing, and socially beneficial intelligent systems, impacting domains such as robotics, medical informatics, and computational social systems.

Citation Metrics (Scopus)

4000

3000

2000

1000

0

Citations
2362

Documents
244

h-index
25

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Encyclopedia of information science and technology.

– IGI Global. (2018). Cited By : 454

Parameter estimation of photovoltaic models via cuckoo search.

-Parameter estimation of photovoltaic models via cuckoo search. (2013). Cited By: 303

An incremental approach to genetic-algorithms-based classification.

-Multimedia Tools and Applications. (2005). Cited By: 124

Investigation of neural networks for function approximation.

– Procedia Computer Science. (2013). Cited By: 111

Dr. Zhongyuan Liu | Computer Vision | Best Researcher Award

Dr. Zhongyuan Liu | Computer Vision | Best Researcher Award

Doctorate at Beijing University of Technology, China

👨‍🎓 Profiles

Scopus

YOLO-TBD: Tea Bud Detection with Triple-Branch Attention Mechanism and Self-Correction

  • Author: Z. Liu, L. Zhuo, C. Dong, J. Li
    Journal: Industrial Crops and Products
    Year: 2025

Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

Education

  • B.S. in Mechanical Engineering and Automation, Jiangxi University of Science and Technology (2010-2014)
  • Ph.D. in Geotechnical and Environmental Mechanics, Dalian University of Technology (2016-2019)

💼 Professional Experience

  • Postdoctoral Researcher, Shenzhen University (2019-2021)
  • Assistant Professor, Shantou University (2021-Present)

🔬 Research Focus

  • Microscopic pore structure and hydraulic characteristics of unsaturated soils
  • Improved micromicrostructure and water-force characteristics of granite residual soil

📈 Current Projects

Host of multiple research projects, including those funded by the National Natural Science Foundation of China and Guangdong Province, focusing on unsaturated soil experiments and numerical simulations.

Publications

Carbon fiber and PVA fiber reinforced concrete: Electrical resistivity and piezoresistive properties

  • Authors: Tang, M., Chen, X., Luo, Y., Gao, L., Wen, T.
  • Journal: Materials Letters
  • Year: 2024

Effects of representative elementary volume size on three-dimensional pore characteristics for modified granite residual soil

  • Authors: Wen, T., Luo, Y., Tang, M., Chen, X., Shao, L.
  • Journal: Journal of Hydrology
  • Year: 2024

Employing novel N-doped graphene quantum dots to improve chloride binding of cement

  • Authors: He, H., E, S., Wen, T., He, C., Yu, Y.
  • Journal: Construction and Building Materials
  • Year: 2023

Three-dimensional pore structure characteristics of granite residual soil and their relationship with hydraulic properties under different particle gradation by X-ray computed tomography

  • Authors: Wen, T., Chen, X., Luo, Y., Shao, L., Niu, G.
  • Journal: Journal of Hydrology
  • Year: 2023

One−Dimensional Seepage of Unsaturated Soil Based on Soil−Water Characteristic Curve

  • Authors: Shao, L., Wu, S., Guo, X., Wen, T.
  • Journal: Processes
  • Year: 2022