About

Dr. Ning Jiang is a leading figure in bio-robotics and neural engineering, whose work bridges the gap between academic research and real-world clinical applications. His primary research areas include myoelectric control, brain-computer interfaces (BCIs), and human-robot interaction for rehabilitation and assistive technologies. Dr. Jiang’s major contributions are perhaps best encapsulated in his highly cited perspective review on non-invasive myoelectric neural interfaces for upper-limb prosthetics, which has garnered 91 citations and outlines a decade of progress in addressing the dichotomy between industrial and academic state-of-the-art. He has also advanced the field of neurorehabilitation by demonstrating how electromyogram (EMG) signals can be processed to infer neural control of muscles, a foundational concept with 47 citations. Further showcasing his versatility, Dr. Jiang has developed robust control algorithms for safe physical human-robot interaction and explored the use of single-channel EEG for detecting movement intentions. His meta-analysis on the therapeutic effects of BCI for stroke motor recovery underscores his commitment to translating neural engineering into tangible clinical outcomes. Through his work, Dr. Jiang continues to shape the future of intelligent, human-centered robotics and neural interfaces.

Research Focus

Key Achievements

4
H-Index
8
Papers
174
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review
91 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Sichuan University, Bernstein Center for Computational Neuroscience Göttingen, University of Waterloo, Universitätsmedizin Göttingen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago