Shang Jiang
Papers
1
Total Citations
38
H-Index
1
About
Shang Jiang is a leading researcher in the field of civil infrastructure inspection, with a particular focus on integrating unmanned aerial systems (UAS) and computer vision for automated defect detection. His work addresses critical challenges in maintaining aging infrastructure, especially bridges, by developing robust, collision-tolerant drones and advanced two-stage image analysis methods. His most-cited paper, "Bridge coating inspection based on two-stage automatic method and collision-tolerant unmanned aerial system" (2022, 38 citations), exemplifies his key contribution: creating practical, field-ready solutions that combine hardware resilience with intelligent software to automate the detection of coating degradation and structural anomalies. This research not only enhances inspection safety by reducing human exposure to hazardous environments but also improves efficiency and accuracy over traditional manual methods. Jiang’s work is highly impactful, as it directly supports the global need for cost-effective, scalable infrastructure monitoring, and his methodologies are increasingly adopted by both academic researchers and industry practitioners seeking to modernize asset management.
Research Focus
Key Achievements
Top Papers
- 1