Yunhwan Kim
Papers
3
Total Citations
14
H-Index
3
About
Yunhwan Kim is a leading researcher in neurorehabilitation, with a focus on post-stroke recovery, cognitive decline, and geriatric mobility. His work bridges robotics, machine learning, and clinical therapy to address complex impairments in aging and neurological populations. Kim’s major contributions include demonstrating that human–robotic interactive gait training (HIT) can significantly bolster both cognitive and locomotor function in patients with post-stroke dementia—a population often excluded from rehabilitation trials. He further advanced the field by using clinical machine learning models to identify the best fall-related balance factors and optimal robotic-assisted gait training attributes in over 100 post-stroke patients, offering personalized rehabilitation targets. His research also explores multimodal cognitive therapy for mild cognitive impairment, showing immediate therapeutic effects on mood, memory, and dual-task performance. With papers accumulating citations rapidly since 2023, Kim’s work is shaping evidence-based protocols for robot-assisted rehabilitation. His integration of predictive analytics with neurorehabilitation represents a notable achievement, positioning him at the forefront of precision medicine for stroke and dementia care.
Research Focus
Key Achievements
Top Papers
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