Min Hyuk Kim

Jungwon University

Papers

1

Total Citations

3

H-Index

1

About

Min Hyuk Kim is a leading researcher in neurorehabilitation and assistive robotics, with a focused interest in the recovery of motor function and balance in stroke survivors. His work critically examines the efficacy of robot-assisted walking training (RAWT), addressing a significant gap in the literature by investigating how patient severity levels influence treatment outcomes. In his highly cited 2024 study, Kim demonstrated that the benefits of RAWT—including improvements in balance, motor function, and activities of daily living (ADL)—are not uniform across all patients, but are instead modulated by the initial severity of impairment. This nuanced finding has profound implications for personalized rehabilitation protocols, moving beyond a one-size-fits-all approach. While his work is still gaining traction, with his most prominent paper already accumulating 3 citations, its early impact signals a growing recognition of his contribution to evidence-based robotics in clinical settings. Kim’s research is essential reading for clinicians and engineers seeking to optimize robotic interventions for post-stroke recovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Jungwon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago