Honglie Song
Papers
9
Total Citations
328
H-Index
7
About
Honglie Song is a leading researcher at the intersection of bioinspired design, flexible electronics, and intelligent sensing systems. Their work focuses on developing advanced sensor-actuator integrated devices and biomimetic mechanosensory technologies, drawing inspiration from nature's most sophisticated structures—from scorpion pectines and dragonfly necks to butterfly proboscises. Song's most influential contribution is the pioneering 4D printing of strain and temperature self-sensing integrated sensor-actuators, a breakthrough paper with 142 citations that has opened new pathways for biomedical devices, human-machine interaction, and humanoid robotics. Their comprehensive review on artificial hair-like sensors (71 citations) has become a foundational reference in the field. Song has also made significant advances in anti-fatigue design strategies for 3D flexible electronics (47 citations) and developed passive particle jamming variable stiffness materials for high-sensitivity capacitive stress sensors (24 citations). Their recent work on bionic recognition technologies and superhydrophobic robotic surfaces demonstrates a continued commitment to translating biological principles into practical, high-performance sensing solutions. With a portfolio spanning self-cleaning surfaces to ultra-sensitive pressure sensors, Song's research is shaping the future of flexible, intelligent, and nature-inspired electronic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Artificial Hair-Like Sensors Inspired from Nature: A Review71 citations · 2018
- 3An Anti‐Fatigue Design Strategy for 3D Ribbon‐Shaped Flexible Electronics47 citations · 2021
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- 9Large Curvature Folding Strategies of Butterfly Proboscis5 citations · 2020