37 citations as recorded by crossref.

1. Assessing the Occurrence Pattern of Large Ionospheric TEC Gradients over the Brazilian Airspace R. Pradipta & P. Doherty 10.1002/navi.141
2. Unseasonal development of post-sunset F-region irregularities over Southeast Asia on 28 July 2014: 1. Forcing from above? B. Carter et al. 10.1186/s40645-018-0164-y
3. The Effect of Plasma Releases on Equatorial Spread F—a Simulation Study K. Zawdie et al. 10.3389/fspas.2019.00004
4. First observations of super plasma bubbles in Europe I. Cherniak & I. Zakharenkova 10.1002/2016GL071421
5. New Index to Characterize Ionospheric Irregularity Distribution E. Yizengaw 10.1029/2023SW003469
6. West wall structuring of equatorial plasma bubbles simulated by three-dimensional HIRB model T. Yokoyama et al. 10.1002/2015JA021799-T
7. Long-Term Study on Medium-Scale Traveling Ionospheric Disturbances Observed over the South American Equatorial Region P. Essien et al. 10.3390/atmos12111409
8. Significant Ionospheric Hole and Equatorial Plasma Bubbles After the 2022 Tonga Volcano Eruption E. Aa et al. 10.1029/2022SW003101
9. On the Assessment of Daily Equatorial Plasma Bubble Occurrence Modeling and Forecasting B. Carter et al. 10.1029/2020SW002555
10. Controlling Factors of Artificial Irregularities Triggered by Chemical Release at Low Latitude Ionosphere J. Gao et al. 10.1029/2022SW003229
11. Plasma bubble monitoring by TEC map and 630nm airglow image H. Takahashi et al. 10.1016/j.jastp.2015.06.003
12. Characteristics of equatorial plasma bubbles observed by TEC map based on ground-based GNSS receivers over South America D. Barros et al. 10.5194/angeo-36-91-2018
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14. Evaluation of Atmospheric 3‐Day Waves as a Source of Day‐to‐Day Variation of the Ionospheric Longitudinal Structure G. Liu et al. 10.1029/2021GL094877
15. Assessment of Gravity Waves From Tropopause to Thermosphere and Ionosphere in High‐Resolution WACCM‐X Simulations H. Liu et al. 10.1029/2023MS004024
16. Day‐to‐Day Variability of Prereversal Enhancement in the Vertical Ion Drift in Response to Large‐Scale Forcing From the Lower Atmosphere H. Liu 10.1029/2019SW002334
17. Can an impulsive variation of the solar wind plasma pressure trigger a plasma bubble? A case study based on CSES, Swarm and THEMIS data M. Piersanti et al. 10.1016/j.asr.2020.07.046
18. Statistical Analysis of Equatorial Plasma Bubbles Climatology and Multi‐Day Periodicity Using GOLD Observations E. Aa et al. 10.1029/2023GL103510
19. Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations E. Aa et al. 10.3390/rs16081469
20. June Solstice Equatorial Spread F in the American Sector: A Numerical Assessment of Linear Stability Aided by Incoherent Scatter Radar Measurements W. Zhan & F. S. Rodrigues 10.1002/2017JA024969
21. Midlatitude Plasma Bubbles Over China and Adjacent Areas During a Magnetic Storm on 8 September 2017 E. Aa et al. 10.1002/2017SW001776
22. On the Assessment of Day‐To‐Day Occurrence of Equatorial Plasma Bubble S. Das et al. 10.1029/2021JA029129
23. Generation and evolution of post-sunset equatorial plasma bubbles in East and Southeast Asia during the July 2022 geomagnetic storm C. Han et al. 10.1016/j.asr.2023.10.046
24. Simultaneous observation on the post-sunset occurrence of travelling ionospheric disturbance alongside ionospheric irregularities over the East Africa low latitude region O. Olwendo & P. Cilliers 10.1016/j.asr.2023.12.005
25. A review on the numerical simulation of equatorial plasma bubbles toward scintillation evaluation and forecasting T. Yokoyama 10.1186/s40645-017-0153-6
26. Tomographic Imaging of Ionospheric Plasma Bubbles Based on GNSS and Radio Occultation Measurements F. Dos Santos Prol et al. 10.3390/rs10101529
27. Statistical Analysis of Equatorial Plasma Irregularities Retrieved From Swarm 2013–2019 Observations E. Aa et al. 10.1029/2019JA027022
28. Growin: Modeling ionospheric instability growth rates J. Smith & J. Klenzing 10.1051/swsc/2022021
29. A system science perspective of the drivers of equatorial plasma bubbles J. Klenzing et al. 10.3389/fspas.2022.1064150
30. Modeling the Day‐To‐Day Variability of Midnight Equatorial Plasma Bubbles With SAMI3/SD‐WACCM‐X M. Chou et al. 10.1029/2023JA031585
31. Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values S. Reddy et al. 10.1029/2022JA031183
32. Multi-instrumental analysis of the day-to-day variability of equatorial plasma bubbles E. Aa et al. 10.3389/fspas.2023.1167245
33. Coordinated Ground‐Based and Space‐Based Observations of Equatorial Plasma Bubbles E. Aa et al. 10.1029/2019JA027569
34. Advanced detection methods and machine learning analysis of temporal and spatial patterns of equatorial plasma bubble depth I. Adawa et al. 10.1016/j.jastp.2025.106495
35. Peak‐Height Distribution of Equatorial Ionospheric Plasma Bubbles: Analysis and Modeling of C/NOFS Satellite Observations D. Joshi et al. 10.1029/2022JA030525
36. On equatorial spread F occurrence: A multi-dimensional quantitative assessment T. Sruthi et al. 10.1016/j.asr.2024.09.005
37. Successes, misses and false alarms in predicting global/seasonal equatorial plasma bubble occurrences with the ROCSAT data S. Su et al. 10.1016/j.asr.2024.12.067