15 citations as recorded by crossref.

1. Deformation monitoring and structural health evaluation of railways in the wonju region, South Korea, using Sentinel-1 SAR data and DInSAR technique M. Das Adhikari et al.
2. Analysis of Surface Deformation and Its Relationship with Land Use in the Reclaimed Land of Tianjin Based on Time Series InSAR L. Hu et al.
3. Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City—A Case Study of Lanzhou, China Y. Xu et al.
4. Analysis of surface deformation and driving forces in Lanzhou W. Wang et al.
5. Vulnerability assessment of power transmission towers affected by land subsidence via interferometric synthetic aperture radar technique and finite element method analysis: a case study of Zanjan and Qazvin provinces A. Farshbaf et al.
6. Research on moisture field evolution and settlement deformation mechanisms induced by infiltration at slope toe of high-fill loess highway slope based on model experiment J. Zhao et al.
7. Evaluation of ground surface deformation in discontinuous permafrost regions along the China-Russia Crude Oil Pipelines in Northeast China using InSAR and ground surveys W. Wang et al.
8. A dynamic meshing scheme for integrated hydrologic modeling to represent evolving landscapes H. Hwang et al.
9. A Remote Subgrade Settlement Monitoring System Based on Optical Method J. Xu et al.
10. Preface: Landslide–transport network interactions F. Taylor et al.
11. Monitoring the Integrity and Vulnerability of Linear Urban Infrastructure in a Reclaimed Coastal City Using SAR Interferometry W. Jeong et al.
12. Anthropogenic subsidence along railway and road infrastructures in Northern Italy highlighted by Cosmo-SkyMed satellite data M. Polcari
13. A low-profile ultra-wideband magneto-electric dipole antenna for ground penetrating radar L. Wang et al.
14. A measuring method for layered compactness of loess subgrade based on hydraulic compaction Z. Zhang et al.
15. Ground Settlement Susceptibility Assessment in Urban Areas Using PSInSAR and Ensemble Learning: An Integrated Geospatial Approach W. Jeong et al.