28 citations as recorded by crossref.

1. Anomaly effects of 6–10 September 2017 solar flares on ionospheric total electron content over Saudi Arabian low latitudes K. Reddybattula et al. 10.1016/j.actaastro.2020.07.045
2. Characteristic Features of the Magnetic and Ionospheric Storms on December 21–24, 2016 Y. Luo & L. Chernogor 10.3103/S0884591322050051
3. Multi‐Instrument Investigation of the Impact of the Space Weather Events of 6–10 September 2017 P. Amaechi et al. 10.1029/2021SW002806
4. Ionospheric disturbances in a large area of the terrestrial globe by two strong solar flares of September 6, 2017, the strongest space weather events in the last decade P. Fagundes et al. 10.1016/j.asr.2020.06.032
5. Magneto-ionospheric effects from geospace storm of March 21—23, 2017 Y. Luo et al. 10.15407/kfnt2022.04.053
6. On the Global Kinematic Positioning Variations During the September 2017 Solar Flare Events W. Nie et al. 10.1029/2021JA030245
7. Magneto-Ionospheric Effects of the Geospace Storm of March 21–23, 2017 Y. Luo et al. 10.3103/S0884591322040055
8. Investigation of the negative ionospheric response of the 8 September 2017 geomagnetic storm over the European sector C. Oikonomou et al. 10.1016/j.asr.2022.05.035
9. High and mid latitude and near subsolar point ionospheric and thermospheric responses to the solar flares and geomagnetic storms during low solar activity periods of 2017 and 2020 D. Sur et al. 10.1016/j.asr.2022.04.024
10. Ionosphere response to geospace storm on 25 September 2016 over Kharkiv (Ukraine) L. Emelyanov et al. 10.1016/j.asr.2023.02.004
11. Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting R. Natras et al. 10.3390/rs14153547
12. Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting R. Natras et al. 10.1029/2023SW003483
13. Ionospheric storm due to solar Coronal mass ejection in September 2017 over the Brazilian and African longitudes P. Fagundes et al. 10.1016/j.asr.2022.07.040
14. Response of the Equatorial Ionosphere over the South American Region to 8 September 2017 Geomagnetic Storm J. Fashae 10.1134/S0016793223600844
15. Effects of local time on the variations of the total electron contents at an American and Asian longitudes and their comparison with IRI-2016, IRI-Plas2017 and NeQuick-2 models during solar cycle 24 Y. Kayode et al. 10.1016/j.jastp.2024.106271
16. Impact of ICME- and SIR/CIR-Driven Geomagnetic Storms on the Ionosphere over Hungary K. Berényi et al. 10.3390/atmos14091377
17. Dynamical Complexity Response in Traveling Ionospheric Disturbances Across Eastern Africa Sector During Geomagnetic Storms Using Neural Network Entropy I. Oludehinwa et al. 10.1029/2022JA030630
18. Characteristics of Low-Latitude Ionosphere Activity and Deterioration of TEC Model during the 7–9 September 2017 Magnetic Storm J. Li et al. 10.3390/atmos13091365
19. Ionospheric Response at Conjugate Locations During the 7–8 September 2017 Geomagnetic Storm Over the Europe‐African Longitude Sector J. Habarulema et al. 10.1029/2020JA028307
20. Impact of the intense geomagnetic storm of August 2018 on the equatorial and low latitude ionosphere N. Imtiaz et al. 10.1007/s10509-021-04009-2
21. Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017 R. Vankadara et al. 10.3390/rs14030652
22. Ionospheric total electron content response to September-2017 geomagnetic storm and December-2019 annular solar eclipse over Sri Lankan region R. Jenan et al. 10.1016/j.actaastro.2021.01.006
23. Hemispheric Asymmetries in the Mid‐latitude Ionosphere During the September 7–8, 2017 Storm: Multi‐instrument Observations Z. Wang et al. 10.1029/2020JA028829
24. Characteristic features of the magnetic and ionospheric storms of December 21—24, 2016 Y. Luo & L. Chernogor 10.15407/kfnt2022.05.051
25. The Spectrum of Global Electron Content: A New Potential Indicator of Space Weather Activity J. Aroca-Farrerons et al. 10.3390/s24020393
26. Total electron content prediction using singular spectrum analysis and autoregressive moving average approach J. Dabbakuti et al. 10.1007/s10509-021-04036-z
27. Ionosphere modeling in the context of Algerian Satellite-based Augmentation System E. Takka et al. 10.1016/j.jastp.2019.105092
28. Klobuchar, NeQuick G, and EGNOS Ionospheric Models for GPS/EGNOS Single-Frequency Positioning under 6–12 September 2017 Space Weather Events A. Ciećko & G. Grunwald 10.3390/app10051553