Zhengyang Jia

Artificial Intelligence in Medicine (Canada)

Papers

1

Total Citations

4

H-Index

1

About

Dr. Zhengyang Jia is pioneering the integration of advanced nanomaterials with deep learning for next-generation gas sensing technologies. His research focuses on the fabrication of novel metal carbide nanofilms and the development of intelligent sensor systems that combine dual-feature extraction with machine learning. In his most cited work, Dr. Jia successfully synthesized NbC nanofilms on GaN substrates, employing photolithography and etching to create uniform circular hole arrays that dramatically enhanced sensor performance. This innovation led to an ultralow detection limit for trimethylamine, a critical biomarker for food spoilage and environmental monitoring. By merging materials engineering with artificial intelligence, his approach represents a significant leap in selectivity and sensitivity for mixed gas analysis. With 4 citations since 2026, this foundational study is already attracting attention from researchers in both nanotechnology and computational sensing. Dr. Jia’s work stands at the exciting intersection of nanofabrication and smart sensor design, offering a blueprint for future devices that can learn and adapt to complex chemical environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fabrication of NbC/GaN Nanofilm Sensor via Photolithography and its Investigation as a Sensor for Trimethylamine Mixed Gas Detection Using Dual-Feature Extraction and Deep Learning
4 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Artificial Intelligence in Medicine (Canada)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago