Papers
22
Total Citations
238
H-Index
8
About
Jianjun Long is a leading researcher at the intersection of rehabilitation robotics, clinical neuroscience, and assistive technology, with a particular focus on restoring motor function in stroke survivors and individuals with spinal cord injury. His work spans the full translational pipeline — from engineering novel exoskeletal systems to rigorously evaluating their clinical efficacy through randomized and multi-center controlled trials. Among his most influential contributions is his research on lower-limb exoskeletal robots, including the BEAR-H1 system and the Ai-robot, which have demonstrated measurable improvements in gait, walking efficiency, and user satisfaction across diverse patient populations. His 2021 study on robot-assisted gait training in subacute stroke patients has garnered over 50 citations, reflecting its significance to the field. Long has also advanced the technical foundations of rehabilitation robotics through innovations in adaptive gait event detection and shared control frameworks for robotic walkers. More recently, he has explored the integration of functional near-infrared spectroscopy (fNIRS) into upper-limb training, opening new frontiers in neurofeedback-guided rehabilitation. With over 190 cumulative citations, his body of work is shaping the future of intelligent, scalable, and patient-centered rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4An Adaptive Method for Gait Event Detection of Gait Rehabilitation Robots22 citations · 2020
- 5
- 6Development of an ankle rehabilitation robot for ankle training13 citations · 2015
- 7
- 8
- 9
- 10