Jong‐Chen Chen
Papers
6
Total Citations
110
H-Index
4
About
Jong-Chen Chen is a multidisciplinary researcher whose work sits at the intersection of artificial intelligence, robotics, and healthcare technology, with a particular focus on rehabilitation engineering and assistive robotics for aging and neurologically impaired populations. His most impactful contribution to date is a 2021 systematic review and meta-analysis examining the effectiveness of companion robots in dementia care, which has garnered 90 citations and established him as a credible voice in socially assistive robotics research. This work addresses a pressing global challenge as aging societies grapple with the rising human and economic costs of dementia. Beyond dementia care, Chen has developed and refined the Artificial Neuromolecular (ANM) system, a biologically inspired computational framework he has applied across multiple domains, including robotic arm motion control, snake-like robot locomotion optimization, and stroke rehabilitation simulation. His more recent work bridges biomimetics and clinical need, designing systems that help hand-impaired patients reclaim functionality in daily life. While several of these studies remain early in their citation trajectories, they collectively reflect a coherent and ambitious research vision: harnessing brain-inspired AI to restore human movement and dignity. Chen's work will resonate deeply with students exploring the convergence of neuroscience, robotics, and rehabilitative medicine.
Research Focus
Key Achievements
Top Papers
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