Mingxing Lin

Shandong University

Papers

5

Total Citations

52

H-Index

5

About

Mingxing Lin is a versatile robotics and computer vision researcher whose work spans rehabilitation robotics, mobile robot design, and underwater target detection. His research career reflects a consistent commitment to solving real-world challenges through intelligent mechanical and algorithmic solutions. Lin's contributions to rehabilitation robotics are among his earliest and most recognized achievements. His 2016 design of a whole-arm exoskeleton robot based on Proprioceptive Neuromuscular Facilitation (PNF) addressed comprehensive upper-limb recovery, while his 2018 pneumatic soft robot for elbow rehabilitation demonstrated the advantages of compliant actuators over rigid alternatives — earning 13 citations and highlighting growing interest in human-safe assistive devices. Expanding into field robotics, Lin contributed to the design of an articulated tracked mobile robot capable of navigating complex terrain, broadening his impact across autonomous systems. More recently, his focus has shifted toward underwater computer vision, with improved YOLOv5s-based detection frameworks targeting marine species such as sea cucumbers and sea urchins — work that has rapidly attracted 18 citations since 2023, reflecting its timeliness for aquaculture automation. Across these domains, Lin demonstrates a rare breadth of expertise, bridging mechanical design and deep learning to address pressing challenges in healthcare, field exploration, and marine industries.

Research Focus

Key Achievements

5
H-Index
5
Papers
52
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
An Improved YOLOv5s-Based Scheme for Target Detection in a Complex Underwater Environment
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Shandong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago