Jincai Zhang

Xi'an University of Science and Technology

Papers

Total Citations

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About

Jincai Zhang is a leading researcher at the intersection of brain-computer interfaces (BCIs) and robotics, with a primary focus on motor imagery-based control systems. His most cited work, a comprehensive 2021 survey on robots controlled by motor imagery BCIs (67 citations), has become a foundational reference for researchers developing assistive technologies. Zhang’s major contributions lie in systematically mapping how neural signals can be translated into commands for rehabilitation robots, wheelchair robots, and nursing bed robots—directly addressing critical needs in healthcare and accessibility. His research bridges the gap between cognitive neuroscience and practical robotic applications, demonstrating how motor imagery can empower individuals with motor disabilities to regain control over their environment. By synthesizing decades of BCI advancements, Zhang has provided a clear roadmap for future innovations in brain-controlled robotics, influencing both academic research and real-world assistive device development. His work continues to inspire new generations of engineers and neuroscientists working toward seamless human-robot interaction.