Papers
2
Total Citations
46
H-Index
2
About
Yunhui Zhang is a researcher whose work bridges the critical intersection of neurorehabilitation and computational optimization. In the field of spinal cord injury (SCI) recovery, Zhang’s 2016 study on repeat exposure to leg swing perturbations during treadmill training demonstrated a breakthrough: long-term retention of increased step length in human SCI patients. This work, cited 24 times, provides a foundational, evidence-based protocol for improving locomotor function through targeted, repetitive force perturbations, offering new hope for gait rehabilitation. More recently, Zhang has ventured into bio-inspired algorithm design, introducing the polar coordinate bald eagle search algorithm (PBES) in 2022. This novel curve approximation approach, inspired by the spiral predation mechanics of bald eagles, has already garnered 22 citations for its efficiency and innovation in solving complex optimization problems. By applying polar coordinates to mimic natural spiral behavior, Zhang’s work enhances computational precision in engineering and robotics. This dual expertise—advancing both human motor recovery and nature-inspired algorithms—showcases Zhang’s versatility and impact. Their contributions not only push the boundaries of rehabilitation science but also offer powerful tools for computational modeling, making Zhang a notable figure in interdisciplinary research.
Research Focus
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Top Papers
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