11 citations as recorded by crossref.

1. Forecasting Regional Ionospheric TEC Maps over China Using BiConvGRU Deep Learning J. Tang et al. https://doi.org/10.3390/rs15133405
2. Characterizing the long term temporal and spatial variation of the African ionosphere using multi-data sources X. Feng et al. https://doi.org/10.1016/j.asr.2025.07.069
3. Validation of the TEC2F2 model over the African equatorial region N. Ssessanga https://doi.org/10.1016/j.asr.2016.03.003
4. Assessing the performance of a Northeast Asia Japan-centered 3-D ionosphere specification technique during the 2015 St. Patrick’s day geomagnetic storm N. Ssessanga et al. https://doi.org/10.1186/s40623-021-01447-8
5. Regional optimization of the IRI-2012 output (TEC, foF2) by using derived GPS-TEC N. Ssessanga et al. https://doi.org/10.3938/jkps.66.1599
6. Using GPS-TEC data to calibrate VTEC computed with the IRI model over Nigeria D. Okoh et al. https://doi.org/10.1016/j.asr.2012.11.013
7. On Imaging South African Regional Ionosphere Using 4D‐var Technique N. Ssessanga et al. https://doi.org/10.1029/2019SW002321
8. On improvement in representation of foE in IRI Z. Yang et al. https://doi.org/10.1016/j.asr.2016.11.008
9. Estimation of foF2 from GPS TEC over the South African region N. Ssessanga et al. https://doi.org/10.1016/j.jastp.2014.02.003
10. Performance of MIDAS Over East African Longitude Sector: Case Study During 4–14 March 2012 Quiet to Disturbed Geomagnetic Conditions N. Giday & Z. Katamzi‐Joseph https://doi.org/10.1002/2017SW001732
11. Estimation of Ionospheric Critical Plasma Frequencies From GNSS‐TEC Measurements Using Artificial Neural Networks V. Otugo et al. https://doi.org/10.1029/2019SW002257