Papers
2
Total Citations
22
H-Index
2
About
Baohua Yuan is a materials scientist and engineer whose research lies at the intersection of smart soft matter and computer vision. His primary contributions focus on designing multifunctional liquid crystalline elastomers (LCEs) that combine self-healing, shape-programmability, and environmental responsiveness. In his most cited work (14 citations, 2024), Yuan introduced dynamic covalent boronic ester bonds into LCEs, enabling materials that not only heal autonomously but also change shape in response to humidity—a breakthrough for intelligent soft robotics and biomimetic actuators. By integrating aggregation-induced emission luminogens, his actuators also provide real-time optical feedback, merging mechanical function with sensing. Beyond soft materials, Yuan applies deep learning to environmental challenges, developing PAR-YOLO (2025, 8 citations), a precise and real-time model for detecting water surface garbage. This dual expertise—spanning molecular design and applied AI—positions him as a versatile innovator. His work has been recognized for advancing both fundamental polymer chemistry and practical environmental monitoring, making him a notable figure in the development of next-generation responsive materials and autonomous systems.
Research Focus
Key Achievements
Top Papers
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