Yanping Huang
Papers
3
Total Citations
38
H-Index
2
About
Yanping Huang is a neuroscientist and rehabilitation engineering researcher whose work sits at the innovative intersection of robotics, neuroscience, and motor rehabilitation. His research focuses on understanding how the brain responds to advanced robot-assisted rehabilitation therapies, with particular emphasis on leveraging multimodal stimulation — combining visual, auditory, and haptic feedback — to optimize neurological recovery following central nervous system injury. Huang's most impactful contribution explores how virtual reality-based, multi-sensory interactive training modalities activate cognitive and motor cortical regions, assessed through functional near-infrared spectroscopy (fNIRS). This pioneering work, garnering 24 citations since 2023, has helped establish a neuroimaging framework for evaluating rehabilitation efficacy. His subsequent investigation into interacting brain network dynamics during multimodal robot-assisted training (13 citations) further deepened understanding of neural coordination underlying recovery. His more recent work examines how parallel cognitive-motor tasks influence hemodynamic responses, extending the rehabilitation paradigm toward dual-task training strategies. Together, these contributions advance both the scientific foundation and practical design of next-generation rehabilitation robotics, offering clinicians and engineers data-driven insights into how multisensory environments can be harnessed to maximize brain plasticity and functional recovery in patients.
Research Focus
Key Achievements
Top Papers
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