15 citations as recorded by crossref.

1. Equivalent Current Systems of Quiet Ionosphere during the 24th Solar Cycle Derived from the Geomagnetic Records in China X. Zhao et al. https://doi.org/10.3390/atmos13111843
2. Evaluation of the Solar Quiet Reference Field (SQRF) model for space weather applications in the South America Magnetic Anomaly S. Chen et al. https://doi.org/10.1186/s40623-021-01382-8
3. A neural network‐based local model for prediction of geomagnetic disturbances H. Gleisner & H. Lundstedt https://doi.org/10.1029/2000JA900142
4. Development of an Empirical Model for Estimating the Quiet Day Curve (QDC) Over the Brazilian Sector S. Chen et al. https://doi.org/10.1029/2020RS007105
5. Underwater Navigation for Long-Range Autonomous Underwater Vehicles Using Geomagnetic and Bathymetric Information N. Kato & T. Shigetomi https://doi.org/10.1163/156855309X443016
6. Artificial neural network technique for predicting the critical frequency of the ionospheric F 2 layer N. Barkhatov et al. https://doi.org/10.1007/s11141-005-0043-4
7. Systems theory for geospace plasma dynamics D. Vassiliadis https://doi.org/10.1029/2004RG000161
8. Empirical Modeling of Ionospheric Current Using Empirical Orthogonal Function Analysis and Artificial Neural Network C. Owolabi et al. https://doi.org/10.1029/2021SW002831
9. Forecasting of the critical frequency of the ionosphereF2 layer by the method of artificial neural networks N. Barkhatov https://doi.org/10.1029/2004GI000065
10. Spatiotemporal Geomagnetic Intensity Mapping Using Gaussian Process for Underwater Vehicle Localization D. Lee et al. https://doi.org/10.26748/KSOE.2025.073
11. The Embrace Magnetometer Network for South America: First Scientific Results C. Denardini et al. https://doi.org/10.1002/2018RS006540
12. Daily geomagnetic field prediction of INTERMAGNET observatories data using the multilayer perceptron neural network S. Ouadfeul et al. https://doi.org/10.1007/s12517-014-1308-z
13. Influence of the uncertainties in the Solar Quiet Reference Field (SQRF) model for deriving geomagnetic indices over South America S. Chen et al. https://doi.org/10.1016/j.jastp.2021.105645
14. Prediction of the maximum observed frequency of the ionospheric HF radio channel using the method of artificial neural networks N. Barkhatov et al. https://doi.org/10.1134/S0016793206010099
15. Magnetic and electric field variations during geomagnetically active days over Turkey E. Kalafatoğlu Eyigüler & Z. Kaymaz https://doi.org/10.1016/j.asr.2017.07.019