Papers

14

Total Citations

372

H-Index

9

About

Lijia Pan is a pioneering researcher at the forefront of flexible electronics, electronic skin, and neuromorphic computing. His work spans skin-inspired electronics, tactile sensing, synaptic devices, and human-machine interfaces — fields that sit at the compelling intersection of materials science, neuroscience, and artificial intelligence. Pan's most influential contribution, "Skin-inspired electronics: emerging semiconductor devices and systems" (2020, 94 citations), established a foundational framework for flexible, self-healing electronic platforms that transcend the rigidity of conventional silicon-based devices. His subsequent reviews on electronic skin challenges and synaptic devices — collectively amassing over 110 citations — have shaped community understanding of how biomimetic systems can replicate the sophistication of human sensory processing. Beyond reviews, Pan's original research demonstrates remarkable breadth. His deep learning-assisted electronic skin systems enable robots to recognize human emotions through touch, while his ionogel-based strain sensors achieve high-accuracy gesture recognition with universal adaptability. His work on flexible pressure sensors and perovskite photodetectors further reflects his commitment to translating materials innovation into real-world wearable and robotic applications. With over 340 cumulative citations and a growing portfolio addressing healthcare monitoring, human-robot interaction, and neuromorphic intelligence, Lijia Pan represents a defining voice in next-generation intelligent sensing systems.

Research Focus

Key Achievements

9
H-Index
14
Papers
372
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Skin-inspired electronics: emerging semiconductor devices and systems
94 citations · 2020
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Collaborative Innovation Center of Advanced Microstructures, Nanjing University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago