Papers
7
Total Citations
268
H-Index
6
About
Weijia Wen is a materials scientist and engineer whose research spans flexible electronics, smart materials, and soft robotics. Best known for pioneering work in wearable pressure sensing, Wen has made significant contributions to resolving one of the field's most persistent challenges: the trade-off between sensitivity and linearity in flexible sensors. His 2020 study introducing a double conductive layer combined with a porous microdome array garnered 116 citations, while a complementary 2019 paper on hybrid mesodome-micropillar architectures for electronic skin earned 89 citations, together establishing him as a leading voice in biomimetic sensor design. Beyond sensing, Wen has expanded his research into photodetector arrays for Internet of Things applications, demonstrating all-inorganic perovskite devices capable of non-contact human–machine interfacing. His more recent work explores dielectric elastomer actuators, developing carbon dot-doped and bicomponent core–shell nanoparticle composites to power bio-inspired crawling robots and variable-stiffness flexible grippers. Earlier investigations into electrorheological fluids reflect a long-standing interest in electrically responsive smart materials. Collectively, Wen's portfolio bridges fundamental materials science with cutting-edge applications in healthcare monitoring, intelligent robotics, and next-generation human–machine interaction.
Research Focus
Key Achievements
Top Papers
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- 5The research progress of electrorheological fluids7 citations · 2017
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