Wenli Chen

Papers

Total Citations

H-Index

About

Wenli Chen is a leading researcher in neurorehabilitation engineering, with a primary focus on developing and evaluating robotic-assisted therapies for stroke recovery. Her most cited work, a 2023 study on bilateral upper limb robot-assisted rehabilitation, demonstrates that this approach significantly improves upper limb motor function in stroke patients, as measured by quantitative EEG. This study, with 32 citations, provides critical neurophysiological evidence supporting the efficacy of bilateral robotic training over conventional unilateral approaches. Chen’s major contribution lies in bridging the gap between rehabilitation robotics and neural plasticity, showing how targeted robotic interventions can reorganize cortical activity to restore motor function. Her research has direct clinical implications, offering evidence-based protocols for post-stroke rehabilitation that enhance patient outcomes. By integrating quantitative EEG biomarkers, she has advanced the objective assessment of rehabilitation efficacy, moving beyond subjective clinical scales. Chen’s work is widely cited by rehabilitation engineers, neurologists, and physical therapists, underscoring its impact on both research and clinical practice. Her findings are shaping the next generation of adaptive robotic systems for personalized neurorehabilitation.