46 citations as recorded by crossref.

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2. Ionospheric perturbations observed due to Indonesian Earthquake (Mw = 7.4) using GPS and VLF measurements at multi-stations S. Kumar et al. https://doi.org/10.1007/s40328-021-00345-5
3. Precursor effect of March 11, 2011 off the coast of Tohoku earthquake on high and low latitude ionospheres and its possible disturbing mechanism K. Oyama et al. https://doi.org/10.1016/j.asr.2018.12.042
4. The propagation features of LF radio waves at topside ionosphere and their variations possibly related to Wenchuan earthquake in 2008 X. Zhang et al. https://doi.org/10.1016/j.asr.2019.02.008
5. Ionospheric effects of earthquakes in Japan in March 2011 obtained from observations of lightning electromagnetic radio signals V. Mullayarov et al. https://doi.org/10.5194/nhess-12-3181-2012
6. Neural network technique for identifying prognostic anomalies from low-frequency electromagnetic signals in the Kuril–Kamchatka region I. Popova et al. https://doi.org/10.1134/S1069351316020105
7. A statistical study on the AGW modulations in subionospheric VLF/LF propagation data and consideration of the generation mechanism of seismo-ionospheric perturbations Y. Kasahara et al. https://doi.org/10.1541/jae.30.103
8. VLF/LF signal studies of the ionospheric response to strong seismic activity in the Far Eastern region combining the DEMETER and ground-based observations A. Rozhnoi et al. https://doi.org/10.1016/j.pce.2015.02.005
9. Observational signatures of unusual outgoing longwave radiation (OLR) and atmospheric gravity waves (AGW) as precursory effects of May 2015 Nepal earthquakes S. Chakraborty et al. https://doi.org/10.1016/j.jog.2017.11.009
10. The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach I. Popova et al. https://doi.org/10.3390/e20090691
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12. Preseismic Perturbations and their Inhomogeneity as Computed from Ground‐ and Space‐Based Investigation during the 2016 Fukushima Earthquake S. Biswas et al. https://doi.org/10.1155/2023/7159204
13. Ionospheric perturbations related to the Miyagi-oki earthquake on 16 August 2005, as seen from Japanese VLF/LF subionospheric propagation network F. Muto et al. https://doi.org/10.1016/j.pce.2008.09.010
14. 2016 Yılı 6 Mw ≥ 7.0 Depremin İyonküre Değişimlerinin İncelenmesi E. ŞENTÜRK & M. ÇEPNİ https://doi.org/10.29128/geomatik.331208
15. A note on the correlation of seismo-ionospheric perturbations with ground motions as deduced from F-net seismic observations T. Endo et al. https://doi.org/10.1541/jae.33.69
16. Review of Subionospheric VLF/LF Radio Signals for the Study of Seismogenic Lower-Ionospheric Perturbations M. Hayakawa https://doi.org/10.3390/atmos16111312
17. 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
18. Features of the Supersonic Gravity Wave Penetration from the Earth’s Surface to the Upper Atmosphere N. Gavrilov & S. Kshevetskii https://doi.org/10.1007/s11141-018-9885-4
19. Threshold magnitude for Ionospheric TEC response to earthquakes N. Perevalova et al. https://doi.org/10.1016/j.jastp.2013.12.014
20. VLF radio signal anomaly associated with geomagnetic storm followed by an earthquake at a subtropical low latitude station in northeastern part of India B. Das et al. https://doi.org/10.1007/s12648-020-01966-2
21. Spatial and Temporal Analysis of Climatic Precursors before Major Earthquakes in Iran (2011–2021) M. Mansouri Daneshvar et al. https://doi.org/10.3390/su151411023
22. Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels M. Hayakawa & Y. Hobara https://doi.org/10.3390/atmos15081015
23. Lithosphere–Atmosphere–Ionosphere Coupling Effects Based on Multiparameter Precursor Observations for February–March 2021 Earthquakes (M~7) in the Offshore of Tohoku Area of Japan M. Hayakawa et al. https://doi.org/10.3390/geosciences11110481
24. Contaminated Effect of Geomagnetic Storms on Pre-Seismic Atmospheric and Ionospheric Anomalies during Imphal Earthquake S. Biswas et al. https://doi.org/10.4236/ojer.2020.95022
25. Seismogenic ionospheric anomalies associated with the strong Indonesian earthquake occurred on 11 April 2012 (M = 8.5) U. Pandey et al. https://doi.org/10.1016/j.asr.2017.12.022
26. A statistical study on the correlation between lower ionospheric perturbations as seen by subionospheric VLF/LF propagation and earthquakes M. Hayakawa et al. https://doi.org/10.1029/2009JA015143
27. 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
28. Exploring the difficulties in forecasting earthquake location with inhomogeneous ionospheric perturbations S. Biswas https://doi.org/10.1007/s11069-024-06773-0
29. On the generation of narrow‐banded ULF/ELF pulsations in the lower ionospheric conducting layer V. Sorokin & M. Hayakawa https://doi.org/10.1029/2008JA013094
30. Dielectric Model for Electromagnetic Waves Generated in the E‐Layer of the Earth's Ionosphere by Infrasound C. Meister et al. https://doi.org/10.1002/ctpp.201200104
31. 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
32. Anomalous behavior of the ionosphere before strong earthquakes P. Peddi Naidu et al. https://doi.org/10.1007/s12648-017-1066-3
33. Remote Sensing of Atmospheric and Ionospheric Signals Prior to the Mw 8.3 Illapel Earthquake, Chile 2015 M. Mansouri Daneshvar & F. Freund https://doi.org/10.1007/s00024-016-1366-0
34. 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
35. Unusual Sunrise and Sunset Terminator Variations in the Behavior of Sub-Ionospheric VLF Phase and Amplitude Signals Prior to the Mw7.8 Turkey Syria Earthquake of 6 February 2023 M. Boudjada et al. https://doi.org/10.3390/rs16234448
36. Modeling of local disturbance formation in the ionosphere electron concentration before strong earthquakes M. Klimenko et al. https://doi.org/10.5047/eps.2011.07.004
37. Detection of Effects of Shallow Major Earthquakes (M ≥ 5.0, depth ≤ 30 km) Occurred in India, Nepal, and China on Ionosphere Using Statistical Approaches R. Singh et al. https://doi.org/10.1134/S0016793224600887
38. Atmospheric gravity waves as a possible candidate for seismo-ionospheric perturbations M. Hayakawa et al. https://doi.org/10.1541/jae.31.129
39. On the correlation between ionospheric perturbations as detected by subionospheric VLF/LF signals and earthquakes as characterized by seismic intensity M. Hayakawa et al. https://doi.org/10.1016/j.jastp.2010.05.009
40. 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
41. Seismogenic ULF/ELF Wave Phenomena: Recent Advances and Future Perspectives M. Hayakawa et al. https://doi.org/10.4236/ojer.2023.123003
42. An evidence on the lithosphere-ionosphere coupling in terms of atmospheric gravity waves on the basis of a combined analysis of surface pressure, ionospheric perturbations and ground-based ULF variations T. Nakamura et al. https://doi.org/10.1541/jae.33.53
43. Latitudinal distribution of anomalous ion density as a precursor of a large earthquake K. Oyama et al. https://doi.org/10.1029/2010JA015948
44. Modifications of the ionosphere prior to large earthquakes: report from the Ionosphere Precursor Study Group K. Oyama et al. https://doi.org/10.1186/s40562-016-0038-3
45. Ionospheric Detection of Explosive Events C. Huang et al. https://doi.org/10.1029/2017RG000594
46. Numerical modeling of possible lower ionospheric anomalies associated with Nepal earthquake in May, 2015 S. Chakraborty et al. https://doi.org/10.1016/j.asr.2017.06.031