Shifan Ma

Henan University

Papers

4

Total Citations

133

H-Index

3

About

Shifan Ma is at the forefront of developing next-generation electronic skins (E-skins) and neuromorphic computing systems, with a focus on creating intelligent, biomimetic interfaces for human-machine interaction. Their major contributions include the design of hybrid tactile sensor arrays that achieve both high-sensitivity pressure sensing and sophisticated tactile pattern recognition, as demonstrated in their most-cited work (76 citations). Ma further advanced the field with a multimodal, ultrasensitive E-skin based on gradient micro-frustum ionogels, capable of imaginary keyboard applications and haptic cognition (36 citations). This work pushes the boundaries of wearable electronics by integrating multiple sensing modalities into a single, flexible platform. Additionally, Ma has explored all-inorganic perovskite-based artificial synaptic devices for self-optimized neuromorphic computing (18 citations), bridging the gap between sensory input and brain-like processing. With over 130 total citations across their top papers, Ma’s research is shaping the future of soft robotics, prosthetics, and intelligent sensing systems, making them a rising leader in bioinspired electronics.

Research Focus

Key Achievements

3
H-Index
4
Papers
133
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid tactile sensor array for pressure sensing and tactile pattern recognition
76 citations · 2024
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Henan University

Top Papers

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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago