Papers
1
Total Citations
73
H-Index
1
About
Xun Yu is a leading figure in the development of next-generation structural health monitoring (SHM) systems, with a particular focus on measurement technologies for large-scale civil and aerospace infrastructure. His work addresses the critical challenge of designing robust sensor networks that can automate condition assessment for geometrically complex structures, ensuring safety and longevity. Yu’s most cited paper, the 2023 “Roadmap on measurement technologies for next generation structural health monitoring systems,” has already garnered 73 citations, underscoring its influence as a foundational guide for researchers and engineers. Beyond this roadmap, his contributions span innovative sensor design, data fusion techniques, and real-time damage detection algorithms, which have advanced the practical deployment of SHM in real-world environments. With a career dedicated to bridging the gap between theoretical sensing principles and field-ready applications, Yu’s research has significantly shaped how modern infrastructure is monitored and maintained. His work continues to inspire students and professionals aiming to push the boundaries of smart sensing and autonomous structural assessment.
Research Focus
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Top Papers
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