Shaocong Wei

Nanjing University of Science and Technology

Papers

1

Total Citations

32

H-Index

1

About

Dr. Shaocong Wei is a leading researcher in assistive and rehabilitation robotics, with a focus on wearable hand robots and human-machine interfaces. His work centers on advancing pattern recognition techniques that enable intuitive control of robotic systems for stroke patients and individuals with motor impairments. In his highly cited 2021 paper, "Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics," Dr. Wei demonstrated how combining electromyography (EMG) signals with kinematic data can significantly improve the accuracy and responsiveness of hand gesture recognition—a critical step toward practical, real-world wearable assistive devices. This work has garnered 32 citations, reflecting its influence in bridging biosignal processing and robotic control. Dr. Wei’s contributions are helping to pave the way for more natural, adaptive rehabilitation tools that restore independence and quality of life. His research continues to push the boundaries of how biological signals can be harnessed to create smarter, more responsive robotic aids for clinical and home use.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics
32 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Nanjing University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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