28 citations as recorded by crossref.

1. An improved GNSS tropospheric tomographic model with an extended region and combining virtual signals S. Liu et al. 10.1016/j.atmosres.2023.106703
2. Generation of 3D water vapour tomography using voxel-based approach in the Himalayan region A. Srivastava 10.1007/s12040-024-02293-4
3. 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
4. Troposphere Water Vapour Tomography: A Horizontal Parameterised Approach Q. Zhao et al. 10.3390/rs10081241
5. A New Method of GPS Water Vapor Tomography for Maximizing the Use of Signal Rays F. Yang et al. 10.3390/app9071446
6. Maximally Using GPS Observation for Water Vapor Tomography Y. Yao & Q. Zhao 10.1109/TGRS.2016.2597241
7. Preliminary result of capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong Q. Zhao et al. 10.1016/j.asr.2020.06.013
8. Rapid troposphere tomography using adaptive simultaneous iterative reconstruction technique W. Zhang et al. 10.1007/s00190-020-01386-4
9. Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark Dataset Z. Adavi et al. 10.1109/JSTARS.2020.3027909
10. An improved pixel-based water vapor tomography model Y. Yao et al. 10.5194/angeo-37-89-2019
11. A modified three-dimensional ionospheric tomography algorithm with side rays Y. Yao et al. 10.1007/s10291-018-0772-4
12. Influence of station density and multi-constellation GNSS observations on troposphere tomography Q. Zhao et al. 10.5194/angeo-37-15-2019
13. A troposphere tomography method considering the weighting of input information Q. Zhao et al. 10.5194/angeo-35-1327-2017
14. A new method for tropospheric tomography using GNSS and Fengyun-4A data M. Zhang et al. 10.1016/j.atmosres.2022.106460
15. An Investigation of Near Real-Time Water Vapor Tomography Modeling Using Multi-Source Data L. Tong et al. 10.3390/atmos13050752
16. Hybrid Regularized GPS Tropospheric Sensing Using 3-D Ray Tracing Technique S. Haji-Aghajany & Y. Amerian 10.1109/LGRS.2018.2853183
17. Tomographic Reconstruction of Water Vapor Density Fields From the Integration of GNSS Observations and Fengyun-4A Products B. Chen et al. 10.1109/TGRS.2023.3239392
18. An improved GNSS tropospheric tomography method with the GPT2w model Q. Zhao et al. 10.1007/s10291-020-0974-4
19. An Improved Tropospheric Tomographic Model Based on Artificial Neural Network M. Zhang et al. 10.1109/JSTARS.2023.3278302
20. A new troposphere tomography algorithm with a truncation factor model (TFM) for GNSS networks Q. Zhao et al. 10.1007/s10291-019-0855-x
21. A new approach for GNSS tomography from a few GNSS stations N. Ding et al. 10.5194/amt-11-3511-2018
22. An improved troposphere tomographic approach considering the signals coming from the side face of the tomographic area Q. Zhao & Y. Yao 10.5194/angeo-35-87-2017
23. A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network Y. Wang et al. 10.3390/rs12040617
24. New parameterized model for GPS water vapor tomography N. Ding et al. 10.5194/angeo-35-311-2017
25. A novel, optimized approach of voxel division for water vapor tomography Y. Yao & Q. Zhao 10.1007/s00703-016-0450-4
26. An optimal tropospheric tomography approach with the support of an auxiliary area Q. Zhao et al. 10.5194/angeo-36-1037-2018
27. Research on the Meteorological Prediction Algorithm Based on the CNSS and Particle Swarm Optimization L. Yang et al. 10.1155/2021/6415589
28. Adaptive Node Parameterization for Dynamic Determination of Boundaries and Nodes of GNSS Tomographic Models N. Ding et al. 10.1002/2017JD027748