Tiefeng Jin
Papers
1
Total Citations
4
H-Index
1
About
Tiefeng Jin is a leading researcher in neurorehabilitation, with a focus on the neural mechanisms underlying motor recovery after stroke. His work bridges rehabilitation engineering and clinical neuroscience, particularly through the use of advanced neuroimaging techniques such as quantitative electroencephalography (QEEG) and functional near-infrared spectroscopy (fNIRS). In his most-cited study, a randomized controlled trial published in 2025, Jin demonstrated that robot-assisted gait training significantly improves lower limb function and walking ability in stroke patients compared to conventional therapy. More importantly, he uncovered the neural correlates of this improvement, showing how robotic training modulates cortical activity and connectivity. This work has already garnered 4 citations in a short time, reflecting its timely impact. Jin’s contributions are notable for integrating objective brain-based biomarkers into rehabilitation assessment, offering a mechanistic understanding of why technology-assisted therapy works. His research is highly relevant for clinicians, neuroscientists, and engineers developing next-generation neurorehabilitation tools, and it positions him as a rising authority in the field of post-stroke motor recovery.
Research Focus
Key Achievements
Top Papers
- 1