Yong‐Ping Zheng
Papers
16
Total Citations
440
H-Index
9
About
Yong-Ping Zheng is a pioneering biomedical engineer whose research sits at the intersection of rehabilitation robotics, neuromuscular engineering, and medical imaging. His most influential work centers on developing and clinically validating electromyography (EMG)-driven neuromuscular electrical stimulation (NMES) robotic systems for post-stroke upper limb rehabilitation. By harnessing patients' voluntary muscle signals to guide robotic assistance, Zheng's systems — targeting the elbow, wrist, hand, and fingers — have demonstrated meaningful functional recovery in both chronic and early-stage stroke survivors, with his landmark 2017 studies accumulating over 100 and 59 citations respectively. A notable achievement is his investigation into distal versus proximal robotic support strategies, providing clinicians with evidence-based guidance on optimizing therapeutic interventions. Beyond stroke rehabilitation, Zheng has made significant contributions to robotic ultrasound imaging, developing intelligent systems for radiation-free scoliosis assessment using force-sensitive scanning, learning-based spinal localization, and optimization-based control frameworks — work that has garnered considerable international attention. His 2024 research on safe reinforcement learning for ultrasound robots further demonstrates his forward-thinking approach. Collectively, Zheng's contributions are reshaping how technology-assisted rehabilitation and diagnostic imaging are designed, validated, and translated into real-world clinical practice.
Research Focus
Key Achievements
Top Papers
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- 43D Ultrasound Imaging of Scoliosis with Force-Sensitive Robotic Scanning38 citations · 2019
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