Papers
1
Total Citations
3
H-Index
1
About
Lifu Xu is a leading researcher in the field of structural health monitoring, with a particular focus on the safety and integrity of hydraulic infrastructure such as dams. His work centers on the development of advanced, non-destructive evaluation techniques, combining computer vision, deep learning, and signal processing to detect and quantify damage in challenging underwater environments. Xu’s most notable contribution is his innovative "three-stage identification and quantification" framework for underwater cracks, detailed in his 2025 paper. This hybrid feature learning approach integrates multi-modal data to not only locate but also measure the severity of structural defects, offering a significant leap over traditional manual inspection methods. Though his work is early in its citation lifecycle, the practical implications for dam safety and maintenance are profound, positioning him as an emerging authority in applying artificial intelligence to civil engineering challenges. His research promises to reduce human risk and improve the reliability of aging water infrastructure worldwide.
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Top Papers
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