31 citations as recorded by crossref.

1. Fast determination of geometric matrix in ionosphere tomographic inversion with unevenly spaced curvilinear voxels J. Yu et al.
2. Adaptive Modeling of the Global Ionosphere Vertical Total Electron Content E. Erdogan et al.
3. High-Resolution Ionosphere Corrections for Single-Frequency Positioning A. Goss et al.
4. Near Real-Time Global Ionospheric Modeling Based on an Adaptive Kalman Filter State Error Covariance Matrix Determination Method P. Chen et al.
5. A Least Squares Solution to Regionalize VTEC Estimates for Positioning Applications S. Farzaneh & E. Forootan
6. Reconstructing Regional Ionospheric Electron Density: A Combined Spherical Slepian Function and Empirical Orthogonal Function Approach S. Farzaneh & E. Forootan
7. High-resolution vertical total electron content maps based on multi-scale B-spline representations A. Goss et al.
8. Accuracy evaluation of XUST’s global ionospheric products P. Chen et al.
9. Real‐Time Monitoring of Ionosphere VTEC Using Multi‐GNSS Carrier‐Phase Observations and B‐Splines E. Erdogan et al.
10. Comparison of quiet-time ionospheric total electron content from the IRI-2016 model and from gridded and station-level GPS observations G. Mengistu Tsidu & M. Melaku Zegeye
11. Multi-layer ionospheric model construction constrained with NeQuick-G model L. Xu et al.
12. An investigation of a new artificial neural network-based TEC model using ground-based GPS and COSMIC-2 measurements over low latitudes S. Shi et al.
13. The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations S. Karimi et al.
14. Comparison of adaptive neuro-fuzzy inference system and recurrent neural network in vertical total electron content forecasting D. Pérez Bello et al.
15. Real-Time Regional Ionospheric Total Electron Content Modeling Using the Extended Kalman Filter J. Tang et al.
16. Rapid local ionosphere modeling based on Precise Point Positioning over Iran: A case study under 2014 solar maximum N. Abdi et al.
17. Estimation of Ionospheric Total Electron Content From a Multi-GNSS Station in China C. She et al.
18. Gauss process regression for real-time ionospheric delay estimation from GNSS observations B. Lupsic & B. Takacs
19. Toward real-time construction of global ionosphere map from ground and space-borne observations Y. Han et al.
20. Ionospheric electron density modelling using B-splines and constraint optimization G. Lalgudi Gopalakrishnan & M. Schmidt
21. A novel approach to enhancing the Klobuchar algorithm to mitigate the effect of ionospheric delay errors on static single-frequency receivers H. Elshambaky
22. Integration of Jason-3, HY-2 series, and GPS observations for global ionospheric modeling with refined systematic biases T. Lu et al.
23. On the drawback of local detrending in universal kriging in conditions of heterogeneously spaced regional TEC data, low-order trends and outlier occurrences W. Jarmołowski et al.
24. Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events S. Asaly et al.
25. Global and Regional High-Resolution VTEC Modelling Using a Two-Step B-Spline Approach A. Goss et al.
26. Comparative analysis of the GNSS-TEC methods for determining effective height of the ionosphere O. Phillip et al.
27. Status of CAS global ionospheric maps after the maximum of solar cycle 24 Z. Li et al.
28. Near real-time global ionospheric total electron content modeling and nowcasting based on GNSS observations X. Jin & S. Song
29. Two‐Way Assessment of Ionospheric Maps Performance Over the Brazilian Region: Global Versus Regional Products G. Jerez et al.
30. On the advantage of stochastic methods in the modeling of ionospheric total electron content: Southeast Asia case study W. Jarmołowski et al.
31. Using Support Vector Machine (SVM) and Ionospheric Total Electron Content (TEC) Data for Solar Flare Predictions S. Asaly et al.