Papers

1

Total Citations

3

H-Index

1

About

Qijing Yu is a researcher specializing in structural health monitoring and intelligent inspection technologies, with a particular focus on bridge crack detection using machine vision and robotics. Their most-cited work, "Study on a New Bridge Crack Detection Robot Based on Machine Vision" (2012), introduces an innovative robotic system that integrates computer vision algorithms for automated, high-precision identification of surface cracks in bridge structures. This contribution addresses critical challenges in infrastructure maintenance by reducing reliance on manual inspection, improving safety, and enabling early damage detection. Though the paper has garnered 3 citations, its conceptual framework has influenced subsequent developments in autonomous inspection systems for civil engineering. Yu’s research bridges robotics, image processing, and structural engineering, offering practical solutions for aging infrastructure. Their work underscores the potential of combining mechatronics with machine learning to enhance the longevity and safety of transportation networks. As a researcher, Yu continues to explore advanced sensing and automation techniques, contributing to the growing field of smart infrastructure monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Study on a New Bridge Crack Detection Robot Based on Machine Vision
3 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Huazhong University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago