17 citations as recorded by crossref.

1. A Workflow Based on SNAP–StaMPS Open-Source Tools and GNSS Data for PSI-Based Ground Deformation Using Dual-Orbit Sentinel-1 Data: Accuracy Assessment with Error Propagation Analysis F. Mancini et al.
2. A review of ground subsidence observation using aerial, space, and ground-based methods W. Yin et al.
3. Contribution of anthropogenic consolidation processes to subsidence phenomena from multi-temporal DInSAR: a GIS-based approach F. Grassi et al.
4. Improving Ground Deformation Classification by Integrating InSAR Time Series With Geospatial Information Y. Dong et al.
5. Best Practice for Integrating InSAR and GNSS Observations in High-Density GNSS Networks E. Giorgini et al.
6. Review on the Use of Satellite-Based Radar Interferometry for Monitoring Mining Subsidence in Urban Areas and Demographic Indicators Assessment A. Radutu & M. Vlad-Sandru
7. 3D geological modelling of the Bologna urban area (Italy) S. Giacomelli et al.
8. Mapping of Mean Deformation Rates Based on APS-Corrected InSAR Data Using Unsupervised Clustering Algorithms M. Khalili et al.
9. Sentinel-1 Data for Underground Processes Recognition in Bucharest City, Romania A. Radutu et al.
10. Different processes affecting long-term Ravenna coastal drainage basins (Italy): implications for water management L. Soboyejo et al.
11. Review of Works Combining GNSS and InSAR in Europe M. Del Soldato et al.
12. Analysis of the Periodic Component of Vertical Land Motion in the Po Delta (Northern Italy) by GNSS and Hydrological Data E. Vitagliano et al.
13. Long-term spatiotemporal evolution of land subsidence in the urban area of Bologna, Italy A. Zuccarini et al.
14. Monitoring Building Settlements Using Space–Time Cubes and Geospatial AI L. Barazzetti et al.
15. The Need for a Standardized Methodology for Quantitative Assessment of Natural and Anthropogenic Land Subsidence: The Agosta (Italy) Gas Field Case V. Comerci & E. Vittori
16. Poroelasticity and Fluid Flow Modeling for the 2012 Emilia-Romagna Earthquakes: Hints from GPS and InSAR Data M. Nespoli et al.
17. Comprehensive database of land subsidence in 143 major coastal cities around the world: overview of issues, causes, and future challenges L. Pedretti et al.