About

Lihong Duan is a robotics and rehabilitation engineering researcher whose work centers on the design, development, and control of assistive robotic systems for post-stroke motor recovery. With a primary focus on ankle and lower-limb rehabilitation robotics, Duan has made significant contributions to addressing the growing global demand for effective, technology-driven stroke rehabilitation solutions. His most cited work, "Development of a New Robotic Ankle Rehabilitation Platform for Hemiplegic Patients after Stroke" (2018, 24 citations), exemplifies his commitment to restoring range of motion and functional mobility in hemiplegic survivors. Across multiple studies, Duan has systematically advanced ankle rehabilitation robots from single-degree-of-freedom passive systems to sophisticated six-DOF parallel mechanisms capable of active and adaptive training. Beyond ankle robotics, his research extends to innovative gait rehabilitation walkers, multi-arm lower-limb training systems, and a novel pediatric surgical assist robot for operations in confined anatomical workspaces. A recurring theme in his work is intelligent control, particularly his "assist-when-needed" adaptive framework that personalizes robotic assistance based on individual patient condition. Collectively accumulating over 120 citations, Duan's research meaningfully advances the intersection of mechanical design, human-robot interaction, and clinical rehabilitation engineering.

Research Focus

Key Achievements

8
H-Index
33
Papers
212
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Development of a New Robotic Ankle Rehabilitation Platform for Hemiplegic Patients after Stroke
24 citations · 2018
📈 Most Prolific Year: 2015 (7 Papers)
🤝 Key Collaborators: 106
🏛 Institutions: Shenzhen Zhongshan Urological Hospital, Shenzhen Second People's Hospital, Harvard University, South China University of Technology, Shenzhen University, City University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago