Yuexing Gu

Papers

Total Citations

H-Index

About

Dr. Yuexing Gu is a leading researcher at the intersection of rehabilitation engineering and artificial intelligence, with a primary focus on restoring motor function for stroke survivors and individuals with neurological impairments. Her most cited work, "A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence" (2022, 44 citations), provides a comprehensive synthesis of how wearable sensors and machine learning algorithms are revolutionizing hand rehabilitation. This seminal review has become a foundational reference for researchers developing intelligent assistive technologies, highlighting Gu’s ability to bridge clinical needs with cutting-edge AI solutions. Her contributions extend to designing adaptive rehabilitation systems that leverage motion recognition to personalize therapy, significantly improving patient outcomes. With a growing citation impact, Gu’s research addresses the pressing global challenge of aging populations and rising stroke incidence, offering scalable, technology-driven approaches to restore hand dexterity. Her work is particularly notable for integrating real-time feedback mechanisms, enabling more engaging and effective home-based rehabilitation. Dr. Gu’s scholarship not only advances neurorehabilitation but also inspires interdisciplinary collaboration among engineers, clinicians, and data scientists.