Papers
144
Total Citations
5,712
H-Index
38
About
Sheng Quan Xie is a leading researcher in rehabilitation robotics, with a distinguished career focused on developing intelligent robotic systems to restore motor function in patients recovering from stroke, spinal cord injury, and musculoskeletal conditions. His work spans upper and lower limb rehabilitation, exoskeleton design, adaptive control strategies, and clinical assessment of robot-assisted therapy outcomes. Xie's most influential contribution, a 2011 review of upper-limb exoskeleton robots, has accumulated 567 citations and remains a cornerstone reference in the field. Complementing this, his 2015 survey on lower-limb rehabilitation mechanisms (463 citations) and his 2014 review on movement quality assessment (269 citations) demonstrate his broad command of both hardware innovation and clinical evaluation. His development of an adaptive wearable ankle robot and an adaptive impedance control framework for gait orthoses highlights his ability to translate engineering principles into patient-centered solutions, with each work exceeding 200 citations. With over 2,400 combined citations across his top publications, Xie's research has profoundly shaped how clinicians and engineers approach robotic rehabilitation. His work consistently bridges biomechanics, control engineering, and clinical practice, making him an essential figure for any student or researcher entering the field of rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
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- 4Adaptive Impedance Control of a Robotic Orthosis for Gait Rehabilitation223 citations · 2012
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- 6An Adaptive Wearable Parallel Robot for the Treatment of Ankle Injuries216 citations · 2012
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- 8Upper limb rehabilitation using robotic exoskeleton systems: a systematic review135 citations · 2018
- 9Robot assisted treadmill training: Mechanisms and training strategies111 citations · 2011
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