Papers
2
Total Citations
18
H-Index
2
About
Neng Chen is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and advanced materials for wearable technology. Their work centers on developing intuitive control systems for assistive robotics and creating mechanically robust, electronically responsive materials for next-generation sensors. Chen’s major contribution, the ArmBCIsys system (2025, 9 citations), introduces a time–frequency network that enables multiobject grasping via low-signal BCI, offering transformative potential for individuals with physical disabilities to perform complex tasks with robotic arms. This work addresses a critical bottleneck in real-world BCI applications: achieving precise control under noisy neural signals. Complementing this, Chen’s research on hydrogel-based stretchable sensors (2023, 9 citations) demonstrates a novel weaving technique that integrates mechanical and electronic robustness, enabling multi-dimensional sensory responses. This breakthrough paves the way for durable, flexible wearables that can monitor physiological signals or interact with environments. With both papers quickly gaining citations, Chen’s interdisciplinary approach—bridging neural engineering and material science—positions them as a rising leader in human–machine interaction. Their work not only advances fundamental science but also holds immediate promise for rehabilitation and soft robotics, making it essential reading for students and researchers in BCI, biomaterials, and assistive technology.
Research Focus
Key Achievements
Top Papers
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