Jianghong Fu
Papers
3
Total Citations
61
H-Index
2
About
Jianghong Fu is a leading researcher in neurorehabilitation, specializing in the intersection of robotics, brain–computer interfaces (BCIs), and stroke recovery. Their work focuses on restoring upper limb function in stroke survivors—a population for whom impaired arm and hand use severely impacts independence and quality of life. Fu’s most cited study (2021, 31 citations) introduced a novel robot-assisted task-oriented training system using human–robot collaborative interaction force control, demonstrating preliminary improvements in upper limb motor function. They further advanced the field with a comprehensive systematic review (2022, 29 citations) on sensorimotor rhythm-based BCIs for hand rehabilitation, synthesizing evidence on how brain oscillation patterns can drive motor recovery. Most recently, in a 2025 resting-state fMRI study, Fu investigated the neural mechanisms underlying robotic-assisted therapy, revealing how such interventions induce neuroplastic reorganization to mediate functional gains. With a growing citation impact and a clear translational focus, Fu’s work bridges engineering, neuroscience, and clinical practice—offering tangible pathways to restore movement and autonomy for stroke survivors. Their research is essential reading for anyone interested in cutting-edge rehabilitation technologies and brain–computer interfaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3