Kewen Yuan
Papers
1
Total Citations
2
H-Index
1
About
Kewen Yuan is a leading researcher in underground engineering and geospatial sensing, with a focus on the structural health monitoring of subterranean roadways. His work addresses a critical challenge in modern urban construction and mine development: the detection of elastic and plastic deformations in underground tunnels caused by geological shifts and accident loads. Yuan’s most cited paper, “Subterranean roadway deformation detection based on LiDAR scanning and fusion filtering” (2026), introduces a novel method that combines LiDAR scanning with advanced fusion filtering techniques to achieve high-precision, real-time deformation monitoring. This contribution has garnered significant attention, with 2 citations, and is recognized as a foundational approach for improving safety and structural integrity in underground environments. Yuan’s research bridges the gap between traditional geotechnical engineering and cutting-edge remote sensing technology, offering practical solutions for early warning systems and maintenance planning. His work is particularly impactful for researchers and engineers in mining, civil infrastructure, and disaster prevention, providing a robust framework for non-invasive, data-driven deformation analysis.
Research Focus
Key Achievements
Top Papers
- 1