Shubin Zhang

Ocean University of China, Ministry of Agriculture and Rural Affairs

Papers

Total Citations

140

H-Index

About

Shubin Zhang is a leading researcher at the intersection of computer vision and brain-computer interfaces (BCIs), with a focus on advancing human-machine interaction. His most influential work, "Research on the Hand Gesture Recognition Based on Deep Learning" (2018, 115 citations), pioneered deep learning techniques for interpreting hand gestures, enabling more natural control of robots and intelligent furniture. This foundational contribution has been widely adopted in interactive systems. More recently, Zhang has pushed the boundaries of neural decoding with "Dynamic decomposition graph convolutional neural network for SSVEP-based brain–computer interface" (2023, 25 citations), introducing an innovative graph-based architecture that significantly improves the accuracy and speed of steady-state visual evoked potential (SSVEP) signal processing. This work promises to enhance non-invasive BCI applications, from assistive technology to neurorehabilitation. With a growing citation impact and a clear trajectory toward bridging vision and neural signals, Zhang’s research is shaping the future of seamless, intuitive human-machine collaboration.