Papers

4

Total Citations

62

H-Index

4

About

Xiao-Cheng Wu is a pioneering researcher at the intersection of neuromorphic computing and bioinspired electronics, with a primary focus on developing artificial olfactory synaptic transistors. Their groundbreaking work has achieved ultralow energy consumption and high sensitivity in biomimetic devices, as demonstrated in their highly cited 2024 papers on bionic olfactory synaptic transistors for gas recognition and neuromotor pathway construction (23 and 13 citations, respectively). Wu’s innovations in semiconductor film aggregation have enabled devices with detection limits and energy efficiencies critical for advancing intelligent robotics and neuromorphic computing. Beyond bioelectronics, Wu has contributed to robotics through a novel calligraphy method integrating style transfer algorithms and similarity evaluation (19 citations), showcasing interdisciplinary creativity. Notably, Wu also co-authored a significant 2020 study in the CEASAR project, assessing surgical care quality for prostate cancer, revealing that nationally endorsed quality measures are poorly linked to patient outcomes—a finding with direct clinical implications. With a growing citation impact and work spanning from artificial olfaction to healthcare quality assessment, Wu exemplifies how engineering innovation can address both technological and medical challenges, inspiring students to explore the convergence of materials science, neuroscience, and robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
62
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Bionic Olfactory Synaptic Transistors for Artificial Neuromotor Pathway Construction and Gas Recognition
23 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Anhui University, Ningbo University, Hefei University of Technology, Louisiana State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago