54 citations as recorded by crossref.

1. Localized Increment and Decrement in the Total Electron Content of the Ionosphere as a Response to the April 20, 2018, Geomagnetic Storm C. Sotomayor-Beltran https://doi.org/10.1155/2018/1986306
2. A study of the ionospheric disturbances associated with strong earthquakes using the empirical orthogonal function analysis J. Liu et al. https://doi.org/10.1016/j.jseaes.2018.10.007
3. Investigation of the Relationship among Fault Types, Focal Depths, and Ionospheric TEC Anomalies before Large Earthquakes between 2000 and 2020 M. Ulukavak et al. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000395
4. Statistical Analysis of TEC Anomalies Prior to M6.0+ Earthquakes During 2003–2014 F. Zhu et al. https://doi.org/10.1007/s00024-018-1869-y
5. A New Ionosphere Tomography Algorithm With Two-Grid Virtual Observations Constraints and Three-Dimensional Velocity Profile Y. Yao et al. https://doi.org/10.1109/TGRS.2014.2359762
6. On TEC anomalies as precursor before MW 8.6 Sumatra earthquake and MW 6.7 Mexico earthquake on April 11, 2012 J. Guo et al. https://doi.org/10.1007/s12303-015-0005-6
7. Demarcation of solar cycle 24 and characterization of ionospheric GPS-TEC towards the western part of India R. Dumka et al. https://doi.org/10.1016/j.quaint.2020.04.051
8. Analysis of ionospheric TEC anomalies for global earthquakes during 2000-2019 with respect to earthquake magnitude (Mw≥6.0) M. Ulukavak et al. https://doi.org/10.1016/j.jog.2020.101721
9. Recent progress in ionospheric earthquake precursor study in China: A brief review H. Le et al. https://doi.org/10.1016/j.jseaes.2015.06.024
10. Impending ionospheric anomaly preceding the Iquique Mw8.2 earthquake in Chile on 2014 April 1 J. Guo et al. https://doi.org/10.1093/gji/ggv376
11. Progress and development on multi-parameters remote sensing application in earthquake monitoring in China X. Shen et al. https://doi.org/10.1007/s11589-013-0053-9
12. Maximum electron concentration and total electron content of the ionosphere over Concepción, Chile, prior to the 27 February 2010 earthquake E. Ovalle et al. https://doi.org/10.1016/j.asr.2013.07.005
13. Sub-ionospheric very low frequency perturbations associated with the 12 May 2008 <i>M</i> = 7.9 Wenchuan earthquake A. Maurya et al. https://doi.org/10.5194/nhess-13-2331-2013
14. Examination of seismo-ionospheric anomalies before earthquakes of Mw ≥ 5.1 for the period 2008–2015 in Oaxaca, Mexico using GPS-TEC A. Melgarejo-Morales et al. https://doi.org/10.1007/s11600-020-00470-9
15. SafeNet: SwArm for Earthquake Perturbations Identification Using Deep Learning Networks P. Xiong et al. https://doi.org/10.3390/rs13245033
16. Enhancing reliability of seismo-ionospheric anomaly detection with the linear correlation between total electron content and the solar activity index F10.7: Nepal earthquake 2015 F. Ke et al. https://doi.org/10.1016/j.jog.2018.07.001
17. Development of a monitoring system for ionospheric TEC variability before the earthquakes G. Sharma et al. https://doi.org/10.1016/j.acags.2020.100052
18. Seismo-ionospheric anomalies associated with the 2025 Mw 7.7 Myanmar earthquake: a case study S. Rajana et al. https://doi.org/10.1016/j.asr.2025.11.015
19. A New Method for Detection of Pre‐Earthquake Ionospheric Anomalies Z. Xiao‐Hong et al. https://doi.org/10.1002/cjg2.20021
20. Precursor analysis of ionospheric GPS-TEC variations before the 2010M7.2 Baja California earthquake M. Ulukavak & M. Yalcinkaya https://doi.org/10.1080/19475705.2016.1208684
21. Investigation of Lushan earthquake ionosphere VTEC anomalies based on GPS data W. Jiang et al. https://doi.org/10.1007/s11589-013-0013-4
22. Investigation of ionospheric TEC precursors related to the M7.8 Nepal and M8.3 Chile earthquakes in 2015 based on spectral and statistical analysis C. Oikonomou et al. https://doi.org/10.1007/s11069-016-2409-7
23. Macroscopic anomalies before the September 2010 <i>M</i> = 7.1 earthquake in Christchurch, New Zealand N. Whitehead & Ü. Ulusoy https://doi.org/10.5194/nhess-13-167-2013
24. Review of variations in Mw < 7 earthquake motions on position and TEC (Mw = 6.5 Aegean Sea earthquake sample) O. Yildirim et al. https://doi.org/10.5194/nhess-16-543-2016
25. Investigation of Possible MODIS AOD Anomalies as Earthquake Precursors for Global Earthquakes S. Kutoglu et al. https://doi.org/10.1016/j.asr.2021.06.036
26. Ionospheric Statistical Study of the ULF Band Electric Field and Electron Density Variations Before Strong Earthquakes Based on CSES Data L. Nie et al. https://doi.org/10.3390/rs17152677
27. Ionospheric disturbances of the 2007 Bengkulu and the 2005 Nias earthquakes, Sumatra, observed with a regional GPS network M. Cahyadi & K. Heki https://doi.org/10.1002/jgra.50208
28. Pre-seismic ionospheric anomalies and spatio-temporal analyses of MODIS Land surface temperature and aerosols associated with Sep, 24 2013 Pakistan Earthquake A. Sekertekin et al. https://doi.org/10.1016/j.jastp.2020.105218
29. Ionospheric total electron content anomaly possibly associated with the April 4, 2010 Mw7.2 Baja California earthquake J. Liu et al. https://doi.org/10.1016/j.asr.2021.12.007
30. Statistical Behavior of Electron Density in the Ionosphere before 2016 Manipur Earthquake from GPS Observation Stations at North East India G. Sharma et al. https://doi.org/10.1134/S0016852121040130
31. Ionospheric TEC modelling for earthquakes precursors from GNSS data G. Sharma et al. https://doi.org/10.1016/j.quaint.2017.05.007
32. Co-seismic ionospheric disturbances due to 2004 Sumatra-Andaman earthquake S. Vashisth et al. https://doi.org/10.1016/j.qsa.2023.100148
33. Temporal and spatial variations in ionospheric electron density profiles over South Africa during strong magnetic storms Y. Yao et al. https://doi.org/10.5194/nhess-13-375-2013
34. Impact of earthquakes on tropospheric delays—case studies of the 2025 Tibet Mw6.8 and Myanmar Mw7.9 earthquakes H. Zhou et al. https://doi.org/10.1080/19475705.2026.2649489
35. Total electron content anomalies associated with earthquakes occurred during 1998–2019 M. Shah et al. https://doi.org/10.1016/j.actaastro.2020.06.005
36. Earthquake precursors in the light of peroxy defects theory: Critical review of systematic observations F. Freund et al. https://doi.org/10.1140/epjst/e2020-000243-x
37. Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements S. Karatay et al. https://doi.org/10.1007/s12665-025-12216-1
38. Cross-sphere coupling and source inversion of ionospheric disturbances associated with the 2025 Myanmar strike-slip earthquake from BeiDou GEO and multi-GNSS observations J. Chen et al. https://doi.org/10.1093/gji/ggag294
39. Spatial and temporal behaviour of Ionospheric VTEC and Atmospheric parameters before New Zealand earthquake on 13th November 2016 (M 7.8) C. Simha et al. https://doi.org/10.1016/j.jappgeo.2023.104989
40. A statistical analysis of seismo-ionospheric TEC anomalies before 63 Mw ≥ 5.0 earthquakes in Turkey during 2003–2016 E. Şentürk & M. Çepni https://doi.org/10.1007/s11600-018-0214-2
41. Application of the T2-Hotelling test for investigating ionospheric anomalies before large earthquakes Z. Sadeghi & M. Mashhadi-Hossainali https://doi.org/10.1016/j.jastp.2019.01.010
42. Tridimensional reconstruction of the Co-Seismic Ionospheric Disturbance around the time of 2015 Nepal earthquake J. Kong et al. https://doi.org/10.1007/s00190-018-1117-3
43. A spatial analysis of the ionospheric TEC anomalies prior to M7.0+ earthquakes during 2003–2014 F. Zhu et al. https://doi.org/10.1016/j.asr.2016.06.040
44. Ionospheric disturbances associated with the 2015 M7.8 Nepal earthquake Y. Zhou et al. https://doi.org/10.1016/j.geog.2017.04.004
45. Ionospheric precursors to earthquakes: insights from multiple events and global sensitivity analysis over the low–mid latitude region of New Delhi, India Q. Ahmed et al. https://doi.org/10.1016/j.asr.2026.06.026
46. Investigation of ionospheric precursors related to deep and intermediate earthquakes based on spectral and statistical analysis C. Oikonomou et al. https://doi.org/10.1016/j.asr.2016.10.026
47. Statistical analysis of ionospheric TEC anomalies before global M w ≥ 7.0 earthquakes using data of CODE GIM W. Liu & L. Xu https://doi.org/10.1007/s10950-016-9634-0
48. Study on co-seismic ionospheric disturbance of Alaska earthquake on July 29, 2021 based on GPS TEC Q. Ruan et al. https://doi.org/10.1038/s41598-023-37374-9
49. A new computerized ionosphere tomography model using the mapping function and an application to the study of seismic-ionosphere disturbance J. Kong et al. https://doi.org/10.1007/s00190-016-0906-9
50. Study of the 2013 Lushan M7.0 earthquake coseismic ionospheric disturbances P. Chen et al. https://doi.org/10.1016/j.asr.2014.08.014
51. Seismo ionospheric anomalies in Turkey associated with M  ≥ 6.0 earthquakes detected by GPS stations and GIM TEC M. Shah et al. https://doi.org/10.1016/j.asr.2020.03.005
52. The global seismic activity influence on process in atmosphere and ionosphere I. Zakharov & L. Chernogor https://doi.org/10.15407/knit2021.05.019
53. Atmospheric, ionospheric and earth-related variations associated with the 11th August 2012 earthquakes, Ahar, Iran E. Mohamed et al. https://doi.org/10.1016/j.jastp.2021.105595
54. Manifestation of earthquake preparation zone in the ionosphere before 2021 Sonitpur, Assam earthquake revealed by GPS-TEC data G. Sharma https://doi.org/10.1016/j.geog.2021.09.010