Papers

1

Total Citations

11

H-Index

1

About

Dr. Hang Ren is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent assistive technologies for upper limb recovery. Their most cited work, "Design and Analysis of an Upper Limb Rehabilitation Robot Based on Multimodal Control" (2023, 11 citations), introduces a novel six-degree-of-freedom exoskeleton robot specifically engineered for hemiplegic patients. This contribution addresses a critical gap in rehabilitation by offering a multimodal control system that adapts to patients across various recovery stages, thereby reducing the workload on therapists while providing essential data visualization for progress tracking. Dr. Ren’s research integrates mechanical design, control theory, and clinical application, advancing the field toward more personalized and efficient robotic therapy. Their work stands out for its practical, patient-centered approach, aiming to streamline rehabilitation workflows and enhance recovery outcomes. With a growing citation impact, Dr. Ren is establishing themselves as an innovator at the intersection of robotics and neurorehabilitation, contributing to the development of next-generation assistive devices that promise to transform post-stroke care and improve quality of life for patients worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Design and Analysis of an Upper Limb Rehabilitation Robot Based on Multimodal Control
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago