209 citations as recorded by crossref.

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8. Adaptive Node Parameterization for Dynamic Determination of Boundaries and Nodes of GNSS Tomographic Models N. Ding et al. https://doi.org/10.1002/2017JD027748
9. Conventional and neural network-based water vapor density model for GNSS troposphere tomography C. Liu et al. https://doi.org/10.1007/s10291-021-01188-x
10. Tropospheric wet refractivity tomography using multiplicative algebraic reconstruction technique W. Xiaoying et al. https://doi.org/10.1016/j.asr.2013.10.012
11. GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles P. Xia et al. https://doi.org/10.5194/angeo-31-1805-2013
12. Strategies for 4-D regional modeling of water vapour using GPS S. Skone & S. Shrestha https://doi.org/10.1007/BF02899828
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14. LEO Constellation-Augmented Multi-GNSS for 3D Water Vapor Tomography S. Xiong et al. https://doi.org/10.3390/rs13163056
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16. Assessing the performance of troposphere tomographic modeling using multi-source water vapor data during Hong Kong's rainy season from May to October 2013 B. Chen & Z. Liu https://doi.org/10.5194/amt-9-5249-2016
17. Atmospheric Water Vapor Variability over Houston: Continuous GNSS Tomography in the Year of Hurricane Harvey (2017) P. Mateus et al. https://doi.org/10.3390/rs16173205
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25. Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data S. Ye et al. https://doi.org/10.5194/angeo-34-789-2016
26. Enhancing GNSS tropospheric delay corrections through an innovative lapse rate grid and adiabatic modelling J. Mao et al. https://doi.org/10.1016/j.asr.2024.11.039
27. Hardware-software system for monitoring of atmospheric water vapor structure in the city of Kazan V. Dementev et al. https://doi.org/10.1088/1755-1315/211/1/012074
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31. Diurnal Cycle of Water Vapor as Documented by a Dense GPS Network in a Coastal Area during ESCOMPTE IOP2 S. Bastin et al. https://doi.org/10.1175/JAM2450.1
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36. Estimation of Humidity Profiles by Combining Co-Located VHF and UHF Wind-Profiling Radar Observation S. IMURA et al. https://doi.org/10.2151/jmsj.85.301
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45. Absolute Tropospheric Refractivity Tomography Using Multiangle Spaceborne D-InSAR Y. Li et al. https://doi.org/10.1109/TGRS.2026.3674198
46. High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere P. Yang et al. https://doi.org/10.1016/j.asr.2021.01.054
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48. Improved Empirical Coefficients for Estimating Water Vapor Weighted Mean Temperature over Europe for GNSS Applications Z. Baldysz & G. Nykiel https://doi.org/10.3390/rs11171995
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51. A virtual-signal method for enhancing the efficacy of GNSS tropospheric tomography using artificial neural network technique M. Zhang et al. https://doi.org/10.1007/s10291-025-01935-4
52. LDBF-IART: A hybrid framework combining an LSTM-driven background field and an improved algebraic reconstruction technique for GNSS tropospheric tomography K. Yu et al. https://doi.org/10.1016/j.atmosres.2026.109384
53. Improved Mapping of Tropospheric Delays C. Rocken et al. https://doi.org/10.1175/1520-0426(2001)018<1205:IMOTD>2.0.CO;2
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55. A New Multi-Resolution GNSS Tomography Method Based on Atmospheric Water Vapor Distributions W. Zhang et al. https://doi.org/10.1109/TGRS.2023.3343938
56. General aspect of GPS data use for atmospheric science K. Hocke & A. Pavelyev https://doi.org/10.1016/S0273-1177(01)00141-7
57. A Case Study of the 3D Water Vapor Tomography Model Based on a Fast Voxel Traversal Algorithm for Ray Tracing H. Hu et al. https://doi.org/10.3390/rs13122422
58. Spatio-temporal tomography of the lower troposphere using GPS signals A. Flores et al. https://doi.org/10.1016/S1464-1895(01)00074-6
59. A novel, optimized approach of voxel division for water vapor tomography Y. Yao & Q. Zhao https://doi.org/10.1007/s00703-016-0450-4
60. Assessment of tomographic window and sampling rate effects on GNSS water vapor tomography F. Yang et al. https://doi.org/10.1186/s43020-023-00096-4
61. Maximally Using GPS Observation for Water Vapor Tomography Y. Yao & Q. Zhao https://doi.org/10.1109/TGRS.2016.2597241
62. Real-Time Precise Point Positioning Using Tomographic Wet Refractivity Fields W. Yu et al. https://doi.org/10.3390/rs10060928
63. Assessing the performance of GPS tomography at retrieving water vapour fields during landfalling atmospheric rivers over southern California B. Chen et al. https://doi.org/10.1002/met.1943
64. Retrieving the 3-D Tropospheric Wet Refractivity Field From a Standalone Ground-Based GNSS Station With A Priori Information: Theory and Simulation X. Li et al. https://doi.org/10.1109/TGRS.2024.3412689
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68. Analysis and Comparison of GPS Precipitable Water Estimates between Two Nearby Stations on Tahiti Island F. Zhang et al. https://doi.org/10.3390/s19245578
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71. Improved 3-D Wet Refractivity Retrieval Using Refined One-Step Tropospheric Tomography Method L. Fan et al. https://doi.org/10.1109/TGRS.2025.3634416
72. Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator N. Hanna et al. https://doi.org/10.5194/amt-12-4829-2019
73. Bridging InSAR and GPS Tomography: A New Differential Geometrical Constraint P. Benevides et al. https://doi.org/10.1109/TGRS.2015.2463263
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75. A GPS water vapour tomography method based on a genetic algorithm F. Yang et al. https://doi.org/10.5194/amt-13-355-2020
76. An adaptive-degree layered function-based method to GNSS tropospheric tomography W. Zhang et al. https://doi.org/10.1007/s10291-023-01401-z
77. 3D ionospheric tomography over southeast China using a new scheme of constrained least squares with parameter weight matrix H. Li et al. https://doi.org/10.1016/j.jastp.2020.105255
78. Wide-Area Retrieval of Water Vapor Field Using an Improved Node Parameterization Tomography B. Chen et al. https://doi.org/10.1109/LGRS.2023.3293824
79. Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7‐Month Case Study in the Amazon P. Miranda et al. https://doi.org/10.1029/2023GL105030
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83. TMF: A GNSS Tropospheric Mapping Function for the Asymmetrical Neutral Atmosphere D. Zhang et al. https://doi.org/10.3390/rs13132568
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