Yongchun Jiang
Papers
1
Total Citations
11
H-Index
1
About
Yongchun Jiang is a leading researcher in neurorehabilitation and soft robotics, with a focus on integrating brain-computer interfaces and advanced therapeutic technologies. His most cited work, a 2022 study on mirror visual feedback (MVF) combined with a soft robotic bilateral hand rehabilitation system, has garnered 11 citations and explores the synergistic effects of these interventions on cortical activation. Using functional near-infrared spectroscopy (fNIRS), Jiang demonstrated that MVF combined with robotic assistance significantly enhances motor cortex activation compared to MVF alone, offering critical insights into the neural mechanisms underlying combination therapies. This research has direct implications for designing more effective rehabilitation protocols for stroke and other neurological conditions. Jiang’s contributions bridge engineering and clinical neuroscience, advancing the development of wearable, soft robotic systems that leverage sensory feedback to promote neuroplasticity. His work is highly regarded for its innovative methodology and translational potential, making him a key figure in the field of rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1