Yifang Lin

Fudan University

Papers

2

Total Citations

13

H-Index

1

About

Yifang Lin is a researcher at the forefront of neurorehabilitation engineering, with a focused expertise in robotic-assisted therapy for stroke survivors. Lin’s work bridges the critical gap between clinical rehabilitation needs and advanced human-robot interaction, particularly for patients in the early stages of recovery or with severe paralysis. Their major contribution lies in developing customizable, robot-assisted passive neurorehabilitation exercises, drawing on teaching-training mechanisms to tailor therapy to individual patient needs—a key advancement for upper extremity recovery. This foundational work, published in 2021 and garnering 12 citations, has paved the way for deeper investigations into the brain’s response to such technology. In a landmark 2025 study, Lin employed resting-state fMRI to elucidate the neural mechanisms and neuroplastic reorganization induced by robotic-assisted therapy, demonstrating how these interventions mediate motor functional improvements. This cutting-edge work, already accumulating citations, provides the first compelling evidence of the specific brain changes that underlie RAT’s efficacy. Lin’s research is not only advancing the science of neuroplasticity but also directly informing the design of more effective, personalized rehabilitation robots, making a tangible impact on the lives of stroke survivors.

Research Focus

Key Achievements

1
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Customizing Robot‐Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Fudan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago