14 citations as recorded by crossref.

1. Tomographic Inversion of the Ionosphere by Rejecting Abnormal Corrections and Rays J. Zhang et al. 10.3390/atmos13121954
2. Ionospheric Tomography: A Compressed Sensing Technique Based on Dictionary Learning D. Mei et al. 10.1109/TGRS.2023.3252041
3. An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI S. Kao et al. 10.1016/j.asr.2015.02.006
4. Enhancing the quality of tomographic image by means of image reconstruction based on hybrid grids J. Yu et al. 10.1016/j.asr.2020.04.026
5. Ionosphere tomography using wavelet neural network and particle swarm optimization training algorithm in Iranian case study M. Ghaffari Razin & B. Voosoghi 10.1007/s10291-017-0614-9
6. Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil F. Prol & P. Camargo 10.1007/s10291-015-0490-0
7. Application of hybrid regularization method for tomographic reconstruction of midlatitude ionospheric electron density Y. Yao et al. 10.1016/j.asr.2013.09.030
8. Hierarchical Bayesian modeling of ionospheric TEC disturbances as non-stationary processes A. Seid et al. 10.1016/j.asr.2017.12.009
9. Multi-instrument observations of plasma features in the Arctic ionosphere during the main phase of a geomagnetic storm in December 2006 Y. Wu et al. 10.1016/j.jastp.2013.07.004
10. Ionospheric tomography using ADS-B signals A. Cushley & J. Noël 10.1002/2013RS005354
11. TID characterised using joint effort of incoherent scatter radar and GPS M. van de Kamp et al. 10.5194/angeo-32-1511-2014
12. Ionospheric tomography based on GNSS observations of the CMONOC: performance in the topside ionosphere Z. Yang et al. 10.1007/s10291-016-0526-0
13. Ionospheric Sounding and Tomography Using Automatic Identification System (AIS) and Other Signals of Opportunity A. Cushley & J. Noël 10.1029/2019RS006872
14. The Effect of Hardware-Computed Travel Time on Localization Accuracy in the Inversion of Experimental (Acoustic) Waveform Data M. Takala et al. 10.1109/TCI.2017.2686698