22 citations as recorded by crossref.

1. A study of correlation between seismicity and mental health: Crete, 2008–2010 G. Anagnostopoulos et al. https://doi.org/10.1080/19475705.2013.819385
2. Seismicity Precursors and Their Practical Account V. Tritakis https://doi.org/10.3390/geosciences15040147
3. Changes in the lithosphere, atmosphere, and ionosphere before and during the Mw = 7.7 Jamaica 2020 earthquake D. Marchetti et al. https://doi.org/10.1016/j.rse.2024.114146
4. Looking for Earthquake Precursors From Space: A Critical Review P. Picozza et al. https://doi.org/10.3389/feart.2021.676775
5. Statistical discrimination of global post-seismic ionosphere effects under geomagnetic quiet and storm conditions T. Gulyaeva & F. Arikan https://doi.org/10.1080/19475705.2016.1246483
6. Evaluation of the Quasi-Pre-Seismic Schumann Resonance Signals in the Greek Area During Five Years of Observations (2020–2025) V. Tritakis et al. https://doi.org/10.3390/atmos16111251
7. Statistical Evaluations of Variations in Dairy Cows’ Milk Yields as a Precursor of Earthquakes H. Yamauchi et al. https://doi.org/10.3390/ani7030019
8. Decline of geomagnetic and ionospheric activity at earthquake during spotless Sun T. Gulyaeva https://doi.org/10.1016/j.asr.2022.10.069
9. On the Origin of ULF Magnetic Waves Before the Taiwan Chi-Chi 1999 Earthquake G. Anagnostopoulos https://doi.org/10.3389/feart.2021.730162
10. In connection with identification of VLF emissions before L'Aquila earthquake M. Kachakhidze et al. https://doi.org/10.5194/nhess-12-1009-2012
11. Temporal and spatial analyses on seismo-electric anomalies associated with the 27 February 2010 <i>M</i> = 8.8 Chile earthquake observed by DEMETER satellite Y. Ho et al. https://doi.org/10.5194/nhess-13-3281-2013
12. DWT-based methodology for detection of seismic precursors on electric field signals in Mexico O. Chavez et al. https://doi.org/10.1080/19475705.2018.1428229
13. Preseismic Ionospheric Electric Field Irregularities Detected by the Double Probes Method S. Makhlouf & M. Djebli https://doi.org/10.1134/S0016793223600236
14. Impact of induced field on the estimation of the ionospheric electric field S. Makhlouf & M. Djebli https://doi.org/10.1007/s11600-019-00358-3
15. Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning P. Xiong et al. https://doi.org/10.3390/rs12213643
16. Changes in the ultra-low frequency wave field during the precursor phase to the Sichuan earthquake: DEMETER observations S. Walker et al. https://doi.org/10.5194/angeo-31-1597-2013
17. Electromagnetic earthquake precursory signatures in the ULF RANGE: perspectives of the studies R. Piriyev https://doi.org/10.23939/jgd2021.01.048
18. A New Analysis Method for Magnetic Disturbances Possibly Related to Earthquakes Observed by Satellites X. Ouyang et al. https://doi.org/10.3390/rs14112709
19. The sun as a significant agent provoking earthquakes G. Anagnostopoulos et al. https://doi.org/10.1140/epjst/e2020-000266-2
20. Precursor Analysis Associated With the Ecuador Earthquake Using Swarm A and C Satellite Magnetic Data Based on PCA K. Zhu et al. https://doi.org/10.1109/ACCESS.2019.2928015
21. Observation of the Preparation Phase Associated with Mw = 7.2 Haiti Earthquake on 14 August 2021 from a Geophysical Data Point of View D. Marchetti https://doi.org/10.3390/geosciences14040096
22. Pre-Earthquake Ionospheric Perturbation Identification Using CSES Data via Transfer Learning P. Xiong et al. https://doi.org/10.3389/fenvs.2021.779255