12 citations as recorded by crossref.

1. Fusion of CMONOC and ERA5 PWV Products Based on Backpropagation Neural Network D. Ren et al. 10.3390/rs14153750
2. Precipitable water vapor fusion based on a generalized regression neural network B. Zhang & Y. Yao 10.1007/s00190-021-01482-z
3. Precipitable water vapor fusion of MODIS and ERA5 based on convolutional neural network C. Lu et al. 10.1007/s10291-022-01357-6
4. Remote sensing of atmospheric water vapor from synthetic aperture radar interferometry: case studies in Shanghai, China L. Chang et al. 10.1117/1.JRS.10.046032
5. A New Method for Reconstructing Absolute Water Vapor Maps From Persistent Scatterer InSAR F. Alshawaf 10.1109/TGRS.2020.2969459
6. Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics J. Vaquero-Martínez & M. Antón 10.3390/rs13122287
7. Review of Works Combining GNSS and InSAR in Europe M. Del Soldato et al. 10.3390/rs13091684
8. An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach X. Li & D. Long 10.1016/j.rse.2020.111966
9. Fusing Precipitable Water Vapor Data in CHINA at Different Timescales Using an Artificial Neural Network Z. Xiong et al. 10.3390/rs13091720
10. Precipitable water vapor fusion: an approach based on spherical cap harmonic analysis and Helmert variance component estimation B. Zhang et al. 10.1007/s00190-019-01322-1
11. Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations M. Heublein et al. 10.1007/s00190-018-1152-0
12. An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area W. Zhou et al. 10.1109/ACCESS.2021.3129521