Papers

8

Total Citations

315

H-Index

6

About

Jianhua Hao is a leading figure in the development of intelligent, self-powered flexible electronics and soft robotics. His research focuses on integrating advanced materials with device physics to create multimodal sensors, energy harvesters, and bioinspired systems. Hao’s major contributions include pioneering soft, self-healing cross-linked networks for robotic-adapted multimodal sensors (83 citations) and developing 4D-printed self-recovered triboelectric nanogenerators for energy harvesting and self-powered sensing (77 citations). He has also advanced in-sensor computing with mechano-optical artificial synapses that enable visual-tactile perception (60 citations), pushing toward humanoid robotics. His work on a healable polyamide-based triboelectric sensing array for material identification and self-healing (17 citations) and multi-stimulus responsive actuators using MXene-CNTs hybrid films (12 citations) further demonstrates his impact. With over 300 total citations from these highlighted papers alone, Hao’s research is widely recognized for its innovation in nanogenerators and piezotronics, as evidenced by his contribution to the “Roadmap on nanogenerators and piezotronics” (60 citations). His recent bioinspired photodriven camouflaged soft robot (2025) exemplifies his commitment to translating fundamental science into practical, adaptive robotic systems.

Research Focus

Key Achievements

6
H-Index
8
Papers
315
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Soft Robotic‐Adapted Multimodal Sensors Derived from Entirely Intrinsic Self‐Healing and Stretchable Cross‐Linked Networks
83 citations · 2023
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 88
🏛 Institutions: Hong Kong Polytechnic University, Beijing University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago