Chenfei Zhu

Columbia University

Papers

2

Total Citations

12

H-Index

2

About

Chenfei Zhu is a leading researcher in neural rehabilitation engineering, with a focus on restoring mobility and postural control in individuals with spinal cord injury (SCI). Their work bridges deep learning and neurostimulation to advance assistive technologies for trunk and lower limb function. In a highly cited 2022 study, Zhu developed a deep-learning-based system for real-time prediction of seated postural limits—the boundary beyond which a person cannot return to an upright position without support. This innovation offers a personalized reference for trunk rehabilitation, enabling safer and more effective assistive interventions. Building on this, Zhu’s 2023 research explored standing reactive postural responses in individuals with SCI receiving spinal cord epidural stimulation. By demonstrating how stimulation enables the spinal circuitry to interpret sensory feedback and generate coordinated lower limb responses, Zhu’s work has opened new pathways for self-balance assistance and functional recovery. With over a dozen citations in just two years, Zhu’s contributions are rapidly shaping the future of neurorehabilitation, offering hope for improved independence and quality of life for those with severe motor impairments.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Deep-Learning Based Real-Time Prediction of Seated Postural Limits and Its Application in Trunk Rehabilitation
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Columbia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago