Jiunn‐Horng Kang
Papers
3
Total Citations
42
H-Index
3
About
Dr. Jiunn‐Horng Kang is a leading researcher in neurorehabilitation and biomedical engineering, with a primary focus on robotic-assisted gait training (RAGT) for stroke survivors and individuals with neurological disorders. His major contributions include pioneering the use of machine learning algorithms to predict functional ambulatory outcomes following robotic neurorehabilitation, as demonstrated in his highly cited 2021 study (28 citations). He has also systematically evaluated adjustable parameters in robot-assisted gait orthoses, showing that combining RAGT with conventional physiotherapy significantly improves balance, walking ability, and daily activity in chronic stroke patients (2022, 10 citations). More recently, Dr. Kang has expanded into innovative biohybrid systems, developing wireless, self-powered phototrophic algaerobot-infused nanotherapeutic hydrogels for enhanced diabetic wound healing (2025). With a career marked by interdisciplinary work bridging robotics, machine learning, and regenerative medicine, his research has garnered substantial attention, with his most cited papers collectively receiving over 40 citations. Dr. Kang’s work is notable for its translational impact, directly informing clinical rehabilitation protocols and advancing smart therapeutic technologies.
Research Focus
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Top Papers
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