Papers
5
Total Citations
75
H-Index
3
About
Jinyu Zheng is a researcher specializing in rehabilitation robotics, neuroscience, and human-computer interaction, with a particular focus on upper limb motor recovery following stroke. His work sits at the intersection of robotic rehabilitation engineering and neuroimaging, employing functional near-infrared spectroscopy (fNIRS) to investigate cortical activation patterns during robot-assisted training — a methodological approach that has become a hallmark of his research identity. Zheng's most influential contributions include foundational studies comparing passive and active training modes in upper limb rehabilitation robots (26 citations) and pioneering explorations of multi-sensory virtual reality interaction — integrating force-haptic, visual, and auditory feedback — to optimize motor cortex engagement (24 citations). His early work developing a VR rehabilitation training system for upper limb exoskeletons (23 citations) laid important groundwork for clinically translatable stroke recovery platforms. More recently, he has extended this inquiry to resistance and isometric training paradigms and advanced kinematic-based quantitative assessment tools, reflecting a maturing research program that bridges neural mechanisms with practical clinical evaluation. Collectively, Zheng's publications demonstrate a coherent and growing impact in neurorehabilitation technology, offering students and clinicians valuable insights into how robotic and immersive technologies can be rigorously studied and meaningfully applied to motor recovery.
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