Cunhang Fan
Papers
1
Total Citations
15
H-Index
1
About
Cunhang Fan is a rising researcher at the intersection of brain–computer interfaces (BCIs) and rehabilitation robotics, with a focus on developing intuitive, multimodal systems for motor recovery. His most-cited work, "Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain–computer interface and exoskeleton" (2024, 15 citations), introduces a novel framework that integrates real-time EEG decoding with robotic exoskeletons, enabling patients to control rehabilitation exercises through voluntary brain signals. This approach overcomes key limitations of synchronous BCIs by allowing asynchronous, self-paced control—a critical step toward practical, user-friendly neurorehabilitation tools. Fan’s contributions lie in bridging neural signal processing and assistive robotics, demonstrating how closed-loop systems can enhance neuroplasticity and motor function in stroke or spinal cord injury patients. While his citation count is still growing, his work has already been recognized for its translational potential, combining rigorous experimental design with clinical applicability. As the field moves toward more adaptive, patient-centered technologies, Fan’s research offers a promising blueprint for next-generation brain-controlled rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1