Papers

15

Total Citations

1,736

H-Index

12

About

Chuanchu Wang is a pioneering researcher in the field of brain-computer interface (BCI) technology, with a particular focus on neurorehabilitation for stroke survivors. His work sits at the compelling intersection of neuroscience, engineering, and clinical medicine, where he has made landmark contributions to EEG-based motor imagery BCI systems coupled with robotic rehabilitation platforms. Wang's most celebrated contributions include a series of rigorous randomized controlled trials demonstrating that EEG-based motor imagery BCI, when paired with robotic systems such as MIT-Manus and the Haptic Knob, can meaningfully restore upper limb motor function in chronic stroke patients — findings that collectively have garnered over 880 citations. His 2014 trials stand as seminal benchmarks in the field, providing strong clinical evidence for activity-dependent neuroplasticity induced through BCI-driven rehabilitation. Beyond robotics, Wang has innovatively explored transcranial direct current stimulation (tDCS) as a neural priming tool to enhance BCI efficacy, and has extended BCI applications into attention training through immersive 3D gaming environments. His earlier feasibility studies from 2009 helped establish the clinical groundwork for what has since become a thriving research domain. With over 1,700 cumulative citations, Wang's body of work continues to shape the future of technology-assisted neurological recovery.

Research Focus

Key Achievements

12
H-Index
15
Papers
1,736
Total Citations
116
Avg Citations/Paper
🏆 Most Cited Paper
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
533 citations · 2014
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Institute for Infocomm Research, Agency for Science, Technology and Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago