Xiaogang Cheng

Nanjing University of Posts and Telecommunications

Papers

4

Total Citations

48

H-Index

4

About

Xiaogang Cheng is a pioneering researcher at the intersection of computer vision, intelligent robotics, and advanced nanomaterials. His work centers on developing AI-driven vision systems for environmental monitoring and autonomous laboratory operations, alongside exploring the optoelectronic properties of novel organic materials. Cheng’s major contributions include a comprehensive review on computer vision technology for indoor and outdoor environmental monitoring and HVAC equipment (22 citations), which has become a foundational reference for non-contact sensing applications. He also advanced the field of AI robotic chemists by creating intelligent vision systems capable of detecting chemistry glassware (13 citations), a critical step toward fully autonomous laboratories. More recently, Cheng has ventured into organic trans-dimensional materials, investigating the unexplored optoelectronic features of gridofluorenes at the nanoscale (8 citations), and developed an all-screen-printed tactile sensor for robotic arms using polymeric thermal foaming (5 citations). His interdisciplinary approach—bridging computer vision, materials science, and robotics—positions him as a rising leader in smart sensing and autonomous systems, with his work increasingly cited for its practical implications in AI-driven environments.

Research Focus

Key Achievements

4
H-Index
4
Papers
48
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
22 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago