30 citations as recorded by crossref.

1. Regional modeling and forecasting of precipitable water vapor using least square support vector regression S. Ghaffari-Razin et al. 10.1016/j.asr.2023.01.030
2. A method for predicting short‐time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay M. Guo et al. 10.1002/met.1866
3. Enhanced Troposphere Tomography: Integration of GNSS and Remote Sensing Data With Optimal Vertical Constraints S. Izanlou et al. 10.1109/JSTARS.2024.3354884
4. An optimal tropospheric tomography approach with the support of an auxiliary area Q. Zhao et al. 10.5194/angeo-36-1037-2018
5. Exploration and analysis of the factors influencing GNSS PWV for nowcasting applications M. Guo et al. 10.1016/j.asr.2021.02.018
6. Application of the GPS reflected signals in tomographic reconstruction of the wet refractivity in Italy M. Shafei & M. Hossainali 10.1016/j.jastp.2020.105348
7. A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography Y. Yao et al. 10.3390/rs12182999
8. Adaptive Voxel-Based Model for the Dynamic Determination of Tomographic Region N. Ding et al. 10.3390/rs15020492
9. Development of a New Vertical Water Vapor Model for GNSS Water Vapor Tomography M. Wan et al. 10.3390/rs14225656
10. A New Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data P. Xia et al. 10.3390/rs12213497
11. A coastally improved global dataset of wet tropospheric corrections for satellite altimetry C. Lázaro et al. 10.5194/essd-12-3205-2020
12. Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021 M. Zhou et al. 10.3390/rs14184678
13. A new troposphere tomography algorithm with a truncation factor model (TFM) for GNSS networks Q. Zhao et al. 10.1007/s10291-019-0855-x
14. Retrieval of Tropospheric Refractivity Profiles Using Slant Tropospheric Delays Derived From a Single Ground‐Based Global Navigation Satellite System Station P. Xia et al. 10.1029/2019EA000562
15. A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network Y. Wang et al. 10.3390/rs12040617
16. An improved GNSS remote sensing technique for 3D distribution of tropospheric water vapor A. Long et al. 10.1002/met.2136
17. A new approach for GNSS tomography from a few GNSS stations N. Ding et al. 10.5194/amt-11-3511-2018
18. GNSS-RS Tomography: Retrieval of Tropospheric Water Vapor Fields Using GNSS and RS Observations W. Zhang et al. 10.1109/TGRS.2021.3077083
19. A new hybrid observation GNSS tomography method combining the real and virtual inverted signals W. Zhang et al. 10.1007/s00190-021-01576-8
20. Cloud tomography applied to sky images: A virtual testbed F. Mejia et al. 10.1016/j.solener.2018.10.023
21. An improved tropospheric tomography method based on the dynamic node parametrized algorithm W. Zhang 10.13168/AGG.2020.0014
22. Assessment of the Water Vapor Tomography Based on Four Navigation Satellite Systems and Their Various Combinations F. Yang et al. 10.3390/rs14153552
23. Tightly Coupled Tomography Model for Atmospheric Water Vapor Based on Multisource Remote-Sensing and GNSS Data S. Li et al. 10.1109/TGRS.2024.3393561
24. Assessing water vapor tomography in Hong Kong with improved vertical and horizontal constraints P. Xia et al. 10.5194/angeo-36-969-2018
25. GNSS ground-based tomography: state-of-the-art and technological challenges S. Saxena & R. Dwivedi 10.1080/01431161.2023.2247526
26. LEO Constellation-Augmented Multi-GNSS for 3D Water Vapor Tomography S. Xiong et al. 10.3390/rs13163056
27. Optimized Approach for Near-Real-Time 3-D Water Vapor Estimation Technique Using the Informer Model in GNSS Y. Zhu et al. 10.1109/TGRS.2024.3495680
28. An improved GNSS tropospheric tomography method with the GPT2w model Q. Zhao et al. 10.1007/s10291-020-0974-4
29. Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm N. Ding et al. 10.3390/rs12172744
30. 3-D Water Vapor Tomography in Wuhan from GPS, BDS and GLONASS Observations Z. Dong & S. Jin 10.3390/rs10010062