Qingliang Zhang

Papers

1

Total Citations

3

H-Index

1

About

Qingliang Zhang is a civil engineering researcher whose work focuses on integrating advanced digital technologies with infrastructure safety management. His primary research areas include Building Information Modeling (BIM), robotic mapping, and bridge engineering safety assessment. Zhang’s most notable contribution is the development of a novel framework that combines BIM virtual scenes with robotic mapping for the discovery and discrimination of safety issues in bridge construction. This interdisciplinary approach addresses a critical need in the field: the persistent occurrence of safety accidents that cost both financial resources and human lives. His 2023 paper on this topic has accumulated 3 citations, demonstrating early recognition from peers in the construction safety community. By bridging the gap between virtual design environments and physical robotic sensing, Zhang’s work offers a practical solution for real-time hazard identification, potentially transforming how safety managers monitor and mitigate risks on bridge construction sites. His research represents a meaningful step toward reducing the human and economic toll of construction accidents, making him a promising voice in the evolving landscape of smart infrastructure management.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Discovery and Discrimination of Bridge Engineering Safety Issues by BIM Virtual Scene Combined with Robotic Mapping
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago