Yaqi Geng
Papers
2
Total Citations
47
H-Index
2
About
Yaqi Geng is a rising researcher at the intersection of bioinspired electronics and intelligent materials, whose work focuses on developing adaptive systems for biomedical applications. Her primary research areas include skin-inspired self-regulation technologies, machine learning-integrated responsive materials, and dynamic wound healing systems. Geng’s most notable contribution is her 2024 paper, "A Skin-Inspired Self-Adaptive System for Temperature Control During Dynamic Wound Healing," which has already garnered 37 citations. This work introduces an interactive electronic system that mimics skin’s thermoregulating function, offering real-time temperature management for patients with skin damage—a critical advancement in situational awareness during healing. Her second highly cited paper, "A Machine Learning-Enabled Real-Time Temperature Response System Based on Polymer-Filler Interactions for Conductive Network Assembly" (10 citations), demonstrates her innovative use of polymer-filler interactions and ML algorithms to create responsive conductive networks. Though early in her career, Geng’s rapid citation impact signals a promising trajectory, blending materials science, AI, and bioengineering to address real-world clinical challenges. Her work exemplifies how smart materials can revolutionize patient care.
Research Focus
Key Achievements
Top Papers
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