Papers
4
Total Citations
116
H-Index
4
About
Chung-Shan Hung is a leading researcher in stroke rehabilitation, specializing in the development and evaluation of hybrid robotic therapies for upper-limb recovery. Hung’s work focuses on combining robot-assisted therapy (RT) with task-specific or impairment-oriented training to maximize functional outcomes in chronic stroke survivors. A key contribution is demonstrating that hybrid approaches—such as unilateral RT paired with modified constraint-induced movement therapy or bilateral RT with bilateral arm training—can significantly improve motor function and quality of life, as shown in a 2016 study (48 citations) and a 2019 randomized controlled trial (32 citations). Hung’s research also compares different robotic systems, like the Bi-Manu-Track and InMotion 3.0, to identify optimal interventions (15 citations). With over 100 total citations across these pivotal studies, Hung’s work provides evidence-based frameworks for integrating technology with therapist-mediated care, advancing personalized rehabilitation strategies. Their findings are widely cited in clinical guidelines and continue to shape how robotic tools are deployed to restore upper-limb function, offering hope for more effective, tailored recovery pathways after stroke.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4