Papers

4

Total Citations

87

H-Index

4

About

Wen‐Chang Chen is a pioneering researcher at the intersection of flexible electronics, neuromorphic computing, and advanced nanomaterials. His work centers on developing stretchable, energy-efficient artificial synapses—critical components for next-generation electronic skin and intelligent robotics. Chen’s major contributions include the design of novel conjugated block copolymer/perovskite quantum dot nanocomposites, which enable photosynaptic transistors with ultralow energy consumption. His 2023 paper on this topic has garnered 36 citations, while his 2024 follow-up on surface ligand engineering for n-type devices has already attracted 23 citations, reflecting the field’s rapid interest. In 2017, Chen demonstrated highly reliable tactile transistor memory, achieving 22 citations for its potential in mimicking human tactile perception. Beyond hardware, he explores cognitive robotics, as seen in his 2016 work on “fast and slow” thinking for ball-throwing robots (6 citations), bridging material science with artificial intelligence. Chen’s research not only advances fundamental understanding of organic-inorganic hybrid systems but also paves the way for low-power, human-like sensory and cognitive technologies.

Research Focus

Key Achievements

4
H-Index
4
Papers
87
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Stretchable photosynaptic transistor with an ultralow energy consumption conferred using conjugated block copolymers/perovskite quantum dots nanocomposites
36 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: National Taipei University of Technology, National Taiwan University, National Cheng Kung University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago