Papers
10
Total Citations
172
H-Index
6
About
Duojin Wang’s research lies at the critical intersection of rehabilitation robotics, human safety, and neurorehabilitation. His work focuses on developing and evaluating lower limb exoskeletons and robot-assisted training systems, with a strong emphasis on risk assessment and human reliability. Wang’s most impactful contribution is a novel risk assessment framework that integrates Failure Mode and Effects Analysis (FMEA) with the DEA method and cloud model, applied to robot-assisted rehabilitation—a study that has garnered 94 citations. He has also systematically evaluated the safety performance of wearable lower limb exoskeletons, and designed a minimally actuated exoskeleton with mechanical joint coupling to improve efficiency. Beyond hardware, Wang investigates the brain’s response to robotic training, identifying interacting brain networks during multimodal stimulation and exploring the effects of parallel cognitive-motor tasks on hemodynamic responses. His work extends to human error identification for rehabilitation robots and real-time gait phase recognition in children with cerebral palsy. With a growing body of work published between 2021 and 2025, Wang is establishing himself as a key figure in making robot-assisted rehabilitation both safer and more effective.
Research Focus
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Top Papers
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