Liyan Liang

China Academy of Information and Communications Technology

Papers

Total Citations

H-Index

About

Liyan Liang is a leading researcher in the field of brain-computer interfaces (BCIs), with a primary focus on hybrid systems that integrate motor imagery (MI) and steady-state visual evoked potentials (SSVEP). Their most-cited work, the 2025 paper "Hybrid BCI robotic arm control system based on MI and SSVEP," has already garnered 6 citations, demonstrating early impact in a rapidly evolving domain. Liang’s major contribution lies in developing robust, multi-modal BCI architectures that enhance the precision and reliability of robotic arm control, addressing key limitations of single-modality systems. By fusing MI and SSVEP signals, their work enables more intuitive and responsive neuroprosthetic interfaces, advancing assistive technologies for individuals with motor disabilities. This research not only pushes the boundaries of real-time neural decoding but also offers a scalable framework for future BCI-driven applications. Liang’s achievements underscore a commitment to translating theoretical advances into practical, high-performance systems, making their work a cornerstone for students and researchers exploring hybrid BCI paradigms.