Yungui Li

Papers

Total Citations

H-Index

About

Yungui Li is a biomedical and rehabilitation engineering researcher whose work centers on the development of intelligent robotic systems designed to aid in the recovery of patients with lower limb motor dysfunction. His research addresses a critical clinical need: enabling effective, timely rehabilitation for stroke survivors, hemiplegic patients, and those with paraplegia, populations for whom early and consistent therapeutic intervention is essential to recovery outcomes. Li's most notable contributions include the design and analysis of a lower limb rehabilitation training module tailored for bedridden stroke patients, published in 2021, which introduced a synchronous robotic rehabilitation approach aimed at delivering immediate post-stabilization therapy. Complementing this, his 2018 work on Fuzzy PID control algorithms demonstrated a sophisticated approach to enabling passive rehabilitation training through intelligent control systems, drawing on neural rehabilitation theory to optimize patient outcomes. With a combined citation count reflecting growing recognition within the rehabilitation robotics community, Li's research bridges mechanical design, control theory, and clinical application. His contributions are particularly valuable to students and researchers working at the intersection of robotics, neuroscience, and physical therapy, offering practical frameworks for building the next generation of assistive rehabilitation technologies.