Jeff Feng

University of Houston

Papers

1

Total Citations

4

H-Index

1

About

Jeff Feng is pioneering the future of accessible neurorehabilitation, with a focused expertise in brain-computer interfaces (BCI) and robotic systems for stroke recovery. His major contribution lies in democratizing high-quality therapy—moving it from expensive clinical settings into patients’ homes. His landmark work, "At-Home Stroke Neurorehabilitation: Early Findings with the NeuroExo BCI System," demonstrates how affordable, user-friendly robotic exoskeletons can be safely deployed outside the clinic, drastically reducing support costs while maintaining therapeutic efficacy. Though early in its citation history, this paper is already shaping conversations around scalable, patient-centered neurotech. Feng’s research directly addresses the critical challenge of usability, ensuring that cutting-edge rehabilitation tools are not just powerful but practical for daily life. By bridging engineering innovation with real-world accessibility, he is laying the groundwork for a future where stroke survivors can regain function from the comfort of their own homes—a vision that promises to transform both clinical practice and quality of life for millions.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
At-Home Stroke Neurorehabilitation: Early Findings with the NeuroExo BCI System
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Houston

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago