Fengrui Ji

Tianjin University

Papers

4

Total Citations

32

H-Index

3

About

Fengrui Ji is a pioneering researcher at the intersection of neurorehabilitation, brain-computer interfaces (BCIs), and wearable robotics. Their work centers on understanding and harnessing neuroplasticity to restore and augment human motor function, particularly for stroke patients and individuals with motor impairments. Ji’s major contributions include the development of a novel, modular supernumerary robotic finger controlled via EEG-EMG signals, demonstrating that four weeks of training induces measurable functional reorganization in the brain, as shown by longitudinal resting-state fMRI. This study, with 15 citations, provides critical evidence for the neuroplastic mechanisms underlying motor augmentation. Ji has also advanced hybrid rehabilitation systems, designing a trajectory-adaptive walking assistance strategy that integrates functional electrical stimulation with exoskeletons to help stroke patients regain a natural gait. Furthermore, their research on enhancing motor imagery of lower limbs through gait phase encoding sensory electrical stimulation addresses a key limitation of MI-BCI systems, improving discriminable EEG signal generation. With a growing citation impact and a focus on translating neural engineering into practical rehabilitation tools, Ji’s work is shaping the future of assistive robotics and neurorehabilitation.

Research Focus

Key Achievements

3
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Functional Reorganization After Four-Week Brain–Computer Interface-Controlled Supernumerary Robotic Finger Training: A Pilot Study of Longitudinal Resting-State fMRI
15 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago