Hui‐Jiuan Chen
Papers
3
Total Citations
150
H-Index
3
About
Hui-Jiuan Chen is a leading researcher in flexible electronics, nanomaterial-based sensors, and intelligent human-machine interfaces. Her work bridges materials science and artificial intelligence to create next-generation wearable and tactile sensing systems. Chen’s major contributions include the development of a multiscale nanowire-microfluidic hybrid strain sensor that simultaneously achieves high sensitivity and stretchability—a long-standing challenge in the field—garnering 92 citations. She has also pioneered a machine learning-coupled tactile recognition system using a cross-striped nanocarbon piezoresistive sensor array, enabling high spatiotemporal resolution for advanced touch sensing. More recently, Chen introduced a deep learning-enhanced anti-noise triboelectric acoustic sensor designed for reliable human-machine collaboration in noisy environments, with 24 citations. Her research not only advances fundamental understanding of nanomaterial mechanics and piezoresistive effects but also delivers practical solutions for health monitoring, intelligent control, and post-disaster rescue. With a growing citation impact and a portfolio of innovative, application-driven work, Hui-Jiuan Chen is shaping the future of smart, adaptive sensor technologies.
Research Focus
Key Achievements
Top Papers
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