Enming Song

Fudan University, San’an Optoelectronics (China)

Papers

6

Total Citations

222

H-Index

5

About

Enming Song is a pioneer in the emerging field of submillimeter-scale robotics and soft electronic systems. His research focuses on the design, fabrication, and locomotion of microscopic robots, as well as the development of advanced materials for human-machine interfaces and artificial electronic skins. Song’s most notable contribution is the creation of submillimeter-scale multimaterial terrestrial robots (2022, 136 citations), which opened new frontiers for minimally invasive surgery and cellular manipulation. He also made significant strides in tattoo-like epidermal electronics (2021, 35 citations), enabling soft, skin-conformal sensors for seamless human-machine interaction. More recently, Song introduced a capacitive in-sensor tactile computing framework (2025, 24 citations) that enhances the real-time processing capabilities of e-skins, and a programmable inverse design for morphing hard-magnetic soft materials (2025, 12 citations). His work on 3D tubular structures from 2D materials (2022, 11 citations) and terrestrial locomotion of microscopic robots using 3D nanomembranes (2025, 4 citations) further demonstrates his innovative approach to merging materials science with robotics. With over 200 citations across his key papers, Song is shaping the future of intelligent, microscale soft systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
222
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Submillimeter-scale multimaterial terrestrial robots
136 citations · 2022
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: Fudan University, San’an Optoelectronics (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago