Decheng Cui

China University of Mining and Technology

Papers

1

Total Citations

9

H-Index

1

About

Decheng Cui is a researcher at the forefront of rehabilitation robotics and intelligent control systems, with a primary focus on developing advanced human–robot interaction technologies for post-stroke motor recovery. His most-cited work introduces a novel zero-force control framework for active rehabilitation training, employing a fuzzy-PID method to enable compliant, patient-driven therapy. This contribution directly addresses the growing need for neuroplasticity-enhancing rehabilitation solutions, offering a safer and more adaptive approach for individuals with neurological disorders. With 9 citations on this key paper, his research is gaining traction in the emerging field of assistive robotics. Cui’s work stands out for its practical integration of fuzzy logic and PID control to achieve precise, zero-force interaction—a critical advancement for active training paradigms. His achievements reflect a deep commitment to translating control theory into real-world therapeutic devices, positioning him as a promising contributor to the future of neurorehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A novel zero-force control framework for post-stroke rehabilitation training based on fuzzy-PID method
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: China University of Mining and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago