30 citations as recorded by crossref.

1. A Deep Learning-Based Approach to Forecast Ionospheric Delays for GPS Signals I. Srivani et al.
2. Implementation of IoT analytics ionospheric forecasting system based on machine learning and ThingSpeak J. Dabbakuti et al.
3. TEC prediction with neural network for equatorial latitude station in Thailand K. Watthanasangmechai et al.
4. Local TEC modelling and forecasting using neural networks A. Tebabal et al.
5. Highlights about the performances of storm-time TEC modelling techniques for low/equatorial and mid-latitude locations J. Uwamahoro et al.
6. Modeling and predicting seasonal ionospheric variations in Turkey using artificial neural network (ANN) S. Inyurt & A. Sekertekin
7. Extreme learning machine-based spherical harmonic for fast ionospheric delay modeling T. Zhao et al.
8. An Ionospheric Total Electron Content Model with a Storm Option over Japan Based on a Multi-Layer Perceptron Neural Network W. Li & X. Wu
9. Predicting foF2 in the China region using the neural networks improved by the genetic algorithm R. Wang et al.
10. Enhanced neural network model for regional ionospheric modeling and evaluation under different solar-geomagnetic conditions Y. Dong et al.
11. Modified solar flux index for upper atmospheric applications T. Maruyama
12. Preliminary investigation of real‐time mapping of foF2 in northern China based on oblique ionosonde data C. Zhou et al.
13. Empirical model of TEC response to geomagnetic and solar forcing over Balkan Peninsula P. Mukhtarov et al.
14. A Review of Machine Learning‐Based Ionospheric Spatial and Temporal Modeling S. Mao et al.
15. First results from the ionospheric tomography experiment using beacon TEC data obtained by means of a network along a longitude of 136°E over Japan S. Thampi & M. Yamamoto
16. Improvement of international reference ionospheric model total electron content maps: a case study using artificial neural network in Egypt B. Mohamed et al.
17. Study of high-latitude ionosphere: One-year campaign over Husafell, Iceland S. Bahari et al.
18. Solar proxies pertaining to empirical ionospheric total electron content models T. Maruyama
19. Regional ionospheric modeling using wavelet network model M. El-Diasty
20. Regional TEC modelling over Africa using deep structured supervised neural network M. Moses et al.
21. Implementation of Hybrid Ionospheric TEC Forecasting Algorithm Using PCA-NN Method I. Mallika et al.
22. Performance analysis of Neural Networks with IRI-2016 and IRI-2012 models over Indian low-latitude GPS stations L. Mallika I et al.
23. Grid-Search-Optimized, Gated Recurrent Unit-Based Prediction Model for Ionospheric Total Electron Content S. Zhou et al.
24. Improved Ionospheric Total Electron Content Maps over China Using Spatial Gridding Approach F. Song & S. Shi
25. Comparison of the Kriging and neural network methods for modeling foF2 maps over North China region C. Jiang et al.
26. Reconstruction of Storm‐Time Total Electron Content Using Ionospheric Tomography and Artificial Neural Networks: A Comparative Study Over the African Region J. Uwamahoro et al.
27. Reliable prediction intervals with regression neural networks H. Papadopoulos & H. Haralambous
28. Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study B. Konakoglu
29. Machine learning based storm time modeling of ionospheric vertical total electron content over Ethiopia A. Nigusie et al.
30. Simultaneous evaluation of solar activity proxies during geomagnetic storms using principal component analysis: Case study of the African low and mid-latitude regions J. Uwamahoro et al.