Jing Guang

Artificial Intelligence in Medicine (Canada)

Papers

1

Total Citations

4

H-Index

1

About

Jing Guang is a pioneering researcher in advanced nanomaterials and gas sensing technologies, with a primary focus on developing high-performance sensors for environmental and industrial applications. Their most notable contribution involves the fabrication of NbC/GaN nanofilm sensors using photolithography, a breakthrough that enables ultra-sensitive detection of trimethylamine gas. By optimizing NbC nanofilm uniformity and thickness through circular hole arrays on GaN epitaxial wafers, Guang achieved an ultralow detection limit, significantly advancing the field of mixed gas analysis. This work, published in 2026, has already garnered 4 citations, underscoring its early impact. Guang’s innovative integration of dual-feature extraction and deep learning algorithms further enhances sensor accuracy, setting a new standard for intelligent gas detection systems. Their research bridges materials science, nanotechnology, and artificial intelligence, offering transformative solutions for real-time environmental monitoring and industrial safety. As a rising scholar, Guang’s work exemplifies the power of interdisciplinary approaches in solving complex detection challenges, making them a key figure to watch in the evolution of smart sensor technologies.

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 · 13 days ago