10 citations as recorded by crossref.

1. Enhancing the quality of tomographic image by means of image reconstruction based on hybrid grids J. Yu et al. https://doi.org/10.1016/j.asr.2020.04.026
2. A Review of Voxel-Based Computerized Ionospheric Tomography with GNSS Ground Receivers W. Lu et al. https://doi.org/10.3390/rs13173432
3. Three-dimensional ionospheric tomography based on compressed sensing J. Zhao et al. https://doi.org/10.1007/s10291-023-01427-3
4. An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere R. Jia et al. https://doi.org/10.1371/journal.pone.0250613
5. The Potential of LEO-PNT Mega-Constellations for Ionospheric 3-D Imaging: A Simulation Study F. Prol et al. https://doi.org/10.1109/JSTARS.2023.3299415
6. 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
7. Adaptive Regularization Method for 3-D GNSS Ionospheric Tomography Based on the U-Curve J. Tang & X. Gao https://doi.org/10.1109/TGRS.2020.3022561
8. Ordered Subsets-Constrained ART Algorithm for Ionospheric Tomography by Combining VTEC Data D. Zheng et al. https://doi.org/10.1109/TGRS.2020.3029819
9. A Noniterative Algorithm for Ionospheric Tomography Reconstruction Based on the Semi-Parametric Model X. Luo et al. https://doi.org/10.1109/TGRS.2023.3317641
10. Adaptive Smoothness Constraint Ionospheric Tomography Algorithm D. Wen et al. https://doi.org/10.3390/s20082404