Guanlan Liu
Papers
2
Total Citations
158
H-Index
2
About
Guanlan Liu is a researcher specializing in structural deformation monitoring, geodetic instrumentation, and automated surveying systems, with a particular focus on applying robotic total station (RTS) technology to civil infrastructure. Liu's work addresses critical challenges in continuously and accurately tracking deformations in large-scale structures such as subway tunnels and dams — environments where precision and reliability are paramount for public safety. Liu's most influential contribution, "Automatic subway tunnel displacement monitoring using robotic total station" (2019), has garnered 126 citations, reflecting its significant impact on the field of underground infrastructure monitoring. This work helped establish RTS-based automation as a viable and practical approach for real-time displacement tracking in complex urban tunnel environments. Building on this foundation, Liu's 2021 study on dam deformation monitoring further advanced the field by presenting rigorous displacement calculation methods and addressing the often-overlooked challenge of atmospheric refraction correction — a subtle but consequential source of measurement error in long-range geodetic observations. With nearly 160 combined citations across these core works, Liu has emerged as a meaningful contributor to smart monitoring systems for geotechnical and civil engineering applications, offering practical solutions that bridge precision surveying with modern structural health monitoring demands.
Research Focus
Key Achievements
Top Papers
- 1Automatic subway tunnel displacement monitoring using robotic total station126 citations · 2019
- 2