Papers
4
Total Citations
56
H-Index
4
About
Huihuang Zhang is a leading researcher in neurorehabilitation, specializing in the integration of robotic-assisted therapy and non-invasive brain stimulation for stroke recovery. Their work focuses on understanding and enhancing motor function restoration through advanced technologies, including robot-assisted gait training (RAGT), intermittent theta burst stimulation (iTBS), and functional near-infrared spectroscopy (fNIRS). Zhang’s landmark 2023 randomized controlled trial demonstrated that RAGT significantly improves gait kinematics and muscle activation in subacute stroke patients, with 29 citations highlighting its clinical impact. Their 2024 study further revealed that combining robot-assisted upper limb training with iTBS enhances cortical activation, offering new insights into neural plasticity mechanisms. A 2025 systematic review and meta-analysis, already garnering 7 citations, confirmed the synergistic efficacy of combined NIBS and RAGT for lower extremity recovery. Most recently, Zhang’s 2025 investigation into neural mechanisms using QEEG and fNIRS has begun to elucidate the cortical reorganization underlying gait improvements. With a rapidly growing citation record and a focus on translating mechanistic findings into evidence-based protocols, Zhang is shaping the future of personalized, technology-driven stroke rehabilitation.
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