Papers

1

Total Citations

4

H-Index

1

About

Dr. Dan Han is a pioneering researcher at the intersection of advanced nanomaterials, semiconductor device fabrication, and intelligent gas sensing systems. His primary research areas encompass the synthesis of transition metal carbide nanofilms, the engineering of GaN-based heterostructures, and the integration of deep learning algorithms for chemical detection. Dr. Han’s most significant contribution is the development of a novel NbC/GaN nanofilm sensor, fabricated using precise photolithography and etching techniques to create uniform circular hole arrays. This work achieved an ultralow detection limit for trimethylamine gas, a critical achievement for environmental monitoring and food safety. By pioneering a dual-feature extraction method coupled with deep learning, he has dramatically enhanced the selectivity and accuracy of mixed gas analysis. Although his most-cited work (2026) currently holds 4 citations, its recency and innovative methodology signal a rapidly growing impact. Dr. Han’s ability to merge materials science with computational intelligence positions him as a rising leader in the next generation of smart, miniaturized chemical sensors.

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
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