Papers
11
Total Citations
54
H-Index
5
About
Juan Fang is a biomedical and rehabilitation robotics researcher whose work centers on developing innovative robotic systems to restore walking function in patients with spinal cord injuries and other neurological impairments. With a career spanning over a decade, Fang has made significant contributions to the design, modeling, and control of gait rehabilitation devices, accumulating citations across a diverse portfolio of influential studies. Fang's most impactful work includes the development of active cable-driven, force-controlled robotic systems for walking rehabilitation (14 citations), demonstrating a clear commitment to advancing beyond passive therapeutic approaches. A recurring theme across their research is the incorporation of interlimb neural coupling principles, leading to orthoses that integrate arm swing and active ankle control for more physiologically authentic gait training. Fang has also pioneered early rehabilitation platforms enabling bed-bound patients to commence walking-like movements in supine positions — a clinically meaningful innovation for the acute post-injury stage. Beyond hardware development, Fang has contributed computational tools including kinematic models, pendulum-based foot trajectory approximations, and temporal-spatial gait parameter models, strengthening the theoretical foundations of robotic rehabilitation. Their sustained productivity from 2011 through 2024 reflects a rigorous, patient-centered research vision that continues to shape the future of neurological rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 8Foot trajectory approximation using the pendulum model of walking3 citations · 2013
- 9Development of a Belt-actuated Robotic Platform for Early Rehabilitation2 citations · 2022
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