11 citations as recorded by crossref.

1. Development of an adaptive 4-D water vapour density model for the vertical constraints in GNSS tropospheric tomography M. Zhang et al. https://doi.org/10.1007/s10291-024-01700-z
2. Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. https://doi.org/10.3390/rs12010030
3. 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
4. A GPS water vapour tomography method based on a genetic algorithm F. Yang et al. https://doi.org/10.5194/amt-13-355-2020
5. An improved GNSS tropospheric tomography method with the GPT2w model Q. Zhao et al. https://doi.org/10.1007/s10291-020-0974-4
6. GNSS-RS Tomography: Retrieval of Tropospheric Water Vapor Fields Using GNSS and RS Observations W. Zhang et al. https://doi.org/10.1109/TGRS.2021.3077083
7. A new hybrid observation GNSS tomography method combining the real and virtual inverted signals W. Zhang et al. https://doi.org/10.1007/s00190-021-01576-8
8. Seismic evidence for possible entrainment of rising plumes by subducting slab induced flow in three subduction zones surrounding the Caribbean Plate M. Saki et al. https://doi.org/10.1016/j.pepi.2024.107212
9. 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. https://doi.org/10.1016/j.asr.2020.06.013
10. An improved ridge estimation (IRE) method for troposphere water vapor tomography Q. Zhao et al. https://doi.org/10.1016/j.jastp.2020.105366
11. 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