19 citations as recorded by crossref.

1. Ionospheric disturbances over East Asia during intense December magnetic storms of 2006 and 2015: similarities and differences Н. Золотухина et al. https://doi.org/10.12737/stp-43201805
2. Strategic Study for the Development of Space Physics C. WANG et al. https://doi.org/10.11728/cjss2023.01.yg01
3. Improvement of a Deep Learning Algorithm for Total Electron Content Maps: Image Completion Z. Chen et al. https://doi.org/10.1029/2018JA026167
4. Establishment and Application of an Interplanetary Disturbance Index Based on the Solar Wind–Magnetosphere Energy Coupling Function and the Spectral Whitening Method X. Zhao et al. https://doi.org/10.3847/1538-4357/ad5000
5. A New Index to Describe the Response of Geomagnetic Disturbance to the Energy Injection from the Solar Wind M. Zhao et al. https://doi.org/10.3390/universe8100506
6. Ionospheric Weather Disturbance Indices Based on Spectral Whitening Y. ZHAO et al. https://doi.org/10.11728/cjss2017.03.270
7. Energy Conversion and Dissipation at Dipolarization Fronts: A Statistical Overview Z. Zhong et al. https://doi.org/10.1029/2019GL085409
8. Study on the relationship between the residual 27 day quasiperiodicity and ionospheric Q disturbances Z. Chen et al. https://doi.org/10.1002/2016JA023195
9. The Contribution of Geomagnetic Activity to Ionospheric foF2 Trends at Different Phases of the Solar Cycle by SWM H. Li et al. https://doi.org/10.3390/atmos11060616
10. The 2D features of tropical cyclone Usagi’s effects on the ionospheric total electron content Y. Zhao et al. https://doi.org/10.1016/j.asr.2018.05.022
11. Ionospheric disturbances over East Asia during intense December magnetic storms of 2006 and 2015: similarities and differences Н. Золотухина et al. https://doi.org/10.12737/szf-43201805
12. A New Index to Describe the Relationship between Solar Extreme Ultraviolet Variation and Solar Activity Z. Chen et al. https://doi.org/10.3847/1538-4357/acf9f7
13. The Comparison of Predicting Storm-Time Ionospheric TEC by Three Methods: ARIMA, LSTM, and Seq2Seq R. Tang et al. https://doi.org/10.3390/atmos11040316
14. A New Method for Predicting Non‐Recurrent Geomagnetic Storms C. Wang et al. https://doi.org/10.1029/2023SW003522
15. Extraction of the geomagnetic activity effect from TEC data: A comparison between the spectral whitening method and 28 day running median Z. Chen et al. https://doi.org/10.1002/2016JA023412
16. Spectral tracks in the ionosphere: Fast Fourier Transform analysis of seismo-ionospheric coupling through GPS Total Electron Content variations S. Karatay et al. https://doi.org/10.1016/j.tecto.2026.231240
17. A Qualitative Study of the Ionospheric Weak Response to Super Geomagnetic Storms H. Li et al. https://doi.org/10.3390/atmos11060635
18. A new pair of indices to describe the relationship between ionospheric disturbances and geomagnetic activity Z. Chen et al. https://doi.org/10.1002/2014JA020438
19. New understanding achieved from 2 years of Chinese ionospheric investigations L. Liu & W. Wan https://doi.org/10.1007/s11434-016-1035-9