Hungu Jung
Papers
2
Total Citations
13
H-Index
2
About
Hungu Jung is a clinical researcher whose work sits at the intersection of neurorehabilitation and robotics, with a primary focus on improving motor recovery in stroke patients. His key research areas include robot-assisted upper limb therapy, clinical prediction modeling, and the optimization of rehabilitation protocols. Jung’s most notable contribution is the development of a clinical prediction rule that identifies stroke patients most likely to achieve clinically important improvements in upper limb motor function through robot-assisted therapy—a tool that promises to personalize rehabilitation and allocate resources more effectively. This work has garnered 11 citations since 2022, reflecting its growing influence in the field. In a related study, Jung investigated how the frequency of using an exoskeletal upper limb robot, specifically the single-joint hybrid assistive limb (HAL-SJ), impacts motor function and activities of daily living in subacute stroke patients. By comparing high- versus low-frequency use, his findings offer practical guidance for dosing robotic therapy. Jung’s research bridges engineering and clinical practice, providing evidence-based frameworks that help clinicians decide not only who will benefit from robotic rehabilitation, but how often they should train to maximize recovery.
Research Focus
Key Achievements
Top Papers
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- 2