16 citations as recorded by crossref.

1. Temporal solar irradiance variability analysis using neural networks A. Tebabal et al. 10.1017/S1743921316000296
2. Neural network prediction of the topside electron content over the Euro-African sector derived from Swarm-A measurements O. Abuelezz et al. 10.1016/j.asr.2020.11.009
3. 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. 10.1029/2017RS006499
4. Application of Singular Spectrum Analysis Using Artificial Neural Networks in TEC Predictions for Ionospheric Space Weather J. Dabbakuti & B. G 10.1109/JSTARS.2019.2956968
5. An Effective Ionospheric TEC Predicting Approach Using EEMD-PE-Kmeans and Self-Attention LSTM X. Zhao et al. 10.1007/s11063-023-11199-z
6. Modeling M(3000)F2 based on extreme learning machine H. Bai et al. 10.1016/j.asr.2019.09.021
7. Modeling total solar irradiance from PMOD composite using feed-forward neural networks A. Tebabal et al. 10.1016/j.jastp.2015.10.007
8. A machine learning approach for total electron content (TEC) prediction over the northern anomaly crest region in Egypt W. Rukundo et al. 10.1016/j.asr.2022.10.052
9. Modelling total electron content during geomagnetic storm conditions using empirical orthogonal functions and neural networks J. Uwamahoro & J. Habarulema 10.1002/2015JA021961
10. Ionospheric TEC forecast model based on support vector machine with GPU acceleration in the China region G. Xia et al. 10.1016/j.asr.2021.03.021
11. A prediction model of short-term ionospheric foF2 based on AdaBoost X. Zhao et al. 10.1016/j.asr.2013.12.001
12. Temporal Variations in Solar Irradiance Since 1947 A. Tebabal et al. 10.1007/s11207-017-1128-x
13. Highlights about the performances of storm-time TEC modelling techniques for low/equatorial and mid-latitude locations J. Uwamahoro et al. 10.1016/j.asr.2019.01.027
14. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. 10.1029/2018JA025455
15. ED‐ConvLSTM: A Novel Global Ionospheric Total Electron Content Medium‐Term Forecast Model G. Xia et al. 10.1029/2021SW002959
16. Estimation of Eucalyptus productivity using efficient artificial neural network R. de Oliveira Neto et al. 10.1007/s10342-021-01431-7