Papers
3
Total Citations
20
H-Index
2
About
Yijian Liu is an emerging researcher at the forefront of flexible electronics, smart sensing systems, and human-machine interaction technologies. His work centers on developing advanced tactile and strain sensors that bridge the gap between intelligent robotics and responsive wearable devices — areas critical to the future of intelligent manufacturing and human-centered computing. Liu's most impactful contribution to date explores how machine learning can dramatically improve the resolution of large-area flexible tactile sensors, addressing the longstanding wiring complexity challenges that have limited array-type sensor deployment in industrial robots. This work has garnered 10 citations since its 2024 publication, reflecting rapid uptake within the field. Complementing this, his innovative strain partitioning approach in periodic composite hole substrates has enabled omnidirectional stretchable sensors with enhanced directional sensitivity — a breakthrough for motion detection and human-machine interfacing, accumulating 8 citations in the same year. His earlier work on embossing micro-fabrication techniques using CNT-composed metal films further demonstrates his versatility across fabrication methodologies for epidermal electronics. Though early in his career, Liu's prolific output and fast-growing citation record signal a researcher making meaningful contributions to next-generation sensing technologies at the intersection of materials science, robotics, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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