Papers
1
Total Citations
32
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About
Ying Yue is a rising innovator in the field of flexible electronics and human–computer interaction, with a primary focus on advanced thermoelectric (TE) hydrogels that mimic human skin. Her most cited work, a 2024 study on a “Strain-Temperature Dual Sensor Based on Deep Learning Strategy,” has already garnered 32 citations, reflecting its immediate impact. In this research, Yue engineered a TE hydrogel with exceptional toughness and temperature responsiveness by leveraging the Hofmeister effect, creating a material capable of simultaneously sensing strain and temperature. This breakthrough enables more intuitive wearable devices and human–machine interfaces, bridging the gap between soft robotics and real-time biometric monitoring. Her contributions stand out for integrating deep learning with material design, allowing the sensor to intelligently decouple complex signals—a critical step toward truly adaptive, skin-like electronics. Yue’s work not only advances the fundamental science of conductive hydrogels but also offers practical pathways for next-generation prosthetics, health monitors, and interactive systems. As a young researcher, her ability to combine materials engineering with artificial intelligence positions her at the forefront of smart wearable technology, promising further innovations in responsive, multifunctional interfaces.
Research Focus
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Top Papers
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