Papers
1
Total Citations
13
H-Index
1
About
Li Long is a researcher specializing in structural health monitoring and intelligent sensing technologies, with a particular focus on hydraulic infrastructure. His work bridges the gap between traditional civil engineering and modern digital measurement systems. In his most-cited paper, "Monitoring Sluice Health in Vibration by Monocular Digital Photography and a Measurement Robot" (2019), Long pioneered a cost-effective, non-contact method for assessing the dynamic behavior of sluice gates—critical components in flood control and water management. By integrating monocular digital photography with robotic measurement, he demonstrated how vibration data can be captured remotely and accurately, reducing the need for invasive sensors. This contribution has garnered 13 citations, reflecting its relevance to engineers seeking safer, more efficient monitoring solutions for aging water infrastructure. Long’s work is notable for its practical application: his method enables real-time health assessments of structures that are often difficult to access, potentially extending their service life. For students and researchers in structural engineering, his research offers a compelling example of how computer vision and robotics can transform traditional inspection practices, making them both smarter and more accessible.
Research Focus
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Top Papers
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