Yaijing Shen
Papers
1
Total Citations
9
H-Index
1
About
Yaijing Shen is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent systems for motor recovery after neurological injury. Her work centers on lower-limb rehabilitation robots designed to address the growing demand for post-stroke therapy, particularly in aging populations. Shen’s major contribution lies in creating multi-arm robotic platforms that enable motor coordination training, a critical yet often overlooked aspect of gait rehabilitation. Her 2019 paper on a multi-arm lower-limb rehabilitation robot, which has garnered 9 citations, tackles a pressing clinical challenge: the shortage of therapists by proposing robotic systems that can assist multiple patients simultaneously or provide more complex, coordinated movement training. This innovation reduces the therapist-to-patient ratio, making rehabilitation more accessible. While her citation count reflects the early stage of this impactful work, Shen’s research is foundational for scalable, automated rehabilitation solutions. Her achievements highlight a commitment to translating engineering principles into practical, patient-centered technologies, positioning her as a key contributor to the future of neurorehabilitation and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1