Shuang Yu
Papers
1
Total Citations
17
H-Index
1
About
Shuang Yu is a researcher in structural health monitoring and civil infrastructure sensing, with a focus on developing non-contact, vision-based methods for assessing the condition of large-scale bridges. Their most cited work introduces an innovative remote deflection detection technique for long-span bridges, combining adaptive masking with high-resolution camera systems to achieve precise, real-time displacement measurements without physical sensors. This contribution addresses a critical challenge in bridge maintenance—accurate deflection monitoring under operational and environmental variability—and has garnered 17 citations since its 2022 publication, reflecting its relevance to both academia and engineering practice. Yu’s research bridges computer vision and structural engineering, offering cost-effective, scalable solutions for aging infrastructure. By enabling safer, more efficient inspections, their work supports the broader goal of resilient transportation networks. With a growing citation record and a focus on practical, deployable technologies, Shuang Yu is establishing a reputation for advancing non-destructive evaluation methods that enhance the longevity and safety of critical civil structures.
Research Focus
Key Achievements
Top Papers
- 1