Xiaohang Wu

Papers

Total Citations

121

H-Index

About

Xiaohang Wu is a leading researcher at the dynamic intersection of brain-computer interfaces (BCIs) and artificial intelligence. Their most-cited work, "The combination of brain-computer interfaces and artificial intelligence: applications and challenges" (2020, 121 citations), has become a foundational reference in the field. Wu’s major contribution lies in systematically charting how AI turbocharges neural decoding, enabling real-time, bidirectional links between living brains and actuators. By synthesizing a decade of rapid progress, they have not only illuminated key applications—from neuroprosthetics to communication aids—but also critically outlined the pressing challenges, such as signal noise and ethical considerations. This forward-looking perspective has shaped subsequent research agendas. Wu’s work is notable for bridging engineering and neuroscience, making complex BCI-AI synergies accessible to a broad audience. With a citation count reflecting their influence, Xiaohang Wu continues to drive innovation at the frontier where human cognition meets machine intelligence, inspiring students and researchers to explore the transformative potential of these converging technologies.