Jichen Ying
Papers
1
Total Citations
56
H-Index
1
About
Jichen Ying is a pioneering researcher in rehabilitation robotics and brain-computer interfaces, with a focus on developing assistive technologies for individuals with motor impairments. Their most cited work introduces a wearable supernumerary robotic limb (SRL) system that employs a hybrid control approach combining motor imagery (MI) and object detection—a breakthrough for upper-limb motion assistance in stroke patients with hemiplegia. This innovative system, detailed in a 2022 paper with 56 citations, demonstrates how neural signals and computer vision can synergistically restore functional independence, addressing a critical gap in post-stroke rehabilitation. Ying’s contributions lie at the intersection of neural engineering and human-robot interaction, offering scalable solutions for real-world clinical applications. Their work has garnered attention for its practical impact, evidenced by growing citation counts and its potential to transform assistive robotics. By integrating MI-based control with autonomous object detection, Ying has advanced the field toward more intuitive, adaptive prosthetics and exoskeletons, making them a key figure in the next generation of wearable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1