Wenlong Su

Capital Medical University

Papers

1

Total Citations

15

H-Index

1

About

Wenlong Su is a rising researcher at the intersection of neurorehabilitation and biomedical engineering, with a primary focus on post-stroke motor recovery. His work centers on understanding how robot-assisted gait training can drive neuroplastic changes in the brain, particularly through advanced neuroimaging techniques. In his most-cited study, a 2024 fMRI pilot study employing graph theory analysis, Su provided early evidence that robotic gait training modulates functional brain network reorganization after stroke—a contribution that has already garnered 15 citations. This work is notable for bridging the gap between rehabilitation robotics and systems neuroscience, offering a quantitative framework to assess treatment-induced plasticity. Su’s research holds promise for personalizing stroke rehabilitation protocols and optimizing robot-assisted therapies. While still early in his career, his ability to integrate cutting-edge neuroimaging with clinical robotics marks him as a scholar to watch in the field of neurorehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Evidence that robot-assisted gait training modulates neuroplasticity after stroke: An fMRI pilot study based on graph theory analysis
15 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Capital Medical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago