10 citations as recorded by crossref.

1. An improved tropospheric tomography method based on the dynamic node parametrized algorithm W. Zhang https://doi.org/10.13168/AGG.2020.0014
2. GNSS water vapor tomography based on Kalman filter with optimized noise covariance F. Yang et al. https://doi.org/10.1007/s10291-023-01517-2
3. A new method of retrieving atmospheric refractivity structure O. Lewis et al. https://doi.org/10.1080/01431161.2023.2170192
4. Evaluating Low-Cost GNSS Network Densification for Water-Vapor Tomography over an Urban Area: A Case Study over Lisbon R. Minez et al. https://doi.org/10.3390/rs18081206
5. Tightly Coupled Tomography Model for Atmospheric Water Vapor Based on Multisource Remote-Sensing and GNSS Data S. Li et al. https://doi.org/10.1109/TGRS.2024.3393561
6. GNSS ground-based tomography: state-of-the-art and technological challenges S. Saxena & R. Dwivedi https://doi.org/10.1080/01431161.2023.2247526
7. Retrieving tropospheric refractivity structure using interferometry of aircraft radio transmissions O. Lewis et al. https://doi.org/10.5194/amt-18-4433-2025
8. Performance of the precise point positioning method along with the development of GPS, GLONASS and Galileo systems D. Kiliszek & K. Kroszczyński https://doi.org/10.1016/j.measurement.2020.108009
9. Correcting Ionospheric Faraday Rotation for the VLA and MeerKAT R. Perley et al. https://doi.org/10.3847/1538-4365/ae503c
10. Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation Y. Ma et al. https://doi.org/10.1109/JSTARS.2025.3580555