9 citations as recorded by crossref.

1. Variations in the Power Spectral Density of Thunderstorm Discharge Pulses in the Frequency Band of 12–40 kHz Associated with Earthquakes in Japan and Taiwan V. Kabanov https://doi.org/10.1134/S0016793219010080
2. Variations of VLF radio signals and atmospherics during the deep earthquake with M = 8.2 occurred on 24 May 2013 near Kamchatka peninsula V. Mullayarov et al. https://doi.org/10.4236/ns.2014.63019
3. Climatic and seismic data-driven deep learning model for earthquake magnitude prediction B. Sadhukhan et al. https://doi.org/10.3389/feart.2023.1082832
4. The 25 April 2015 Nepal Earthquake: Investigation of precursor in VLF subionospheric signal A. Maurya et al. https://doi.org/10.1002/2016JA022721
5. Researching of quasiperiodic variations in the amplitude of VLF electromagnetic signals from lightning discharges passing over strong earthquakes V. Argunov et al. https://doi.org/10.1051/e3sconf/201912703005
6. Disturbances of the Natural Electric Field in the Atmosphere Before Technogenic Earthquakes D. Sirota et al. https://doi.org/10.1051/e3sconf/20184101015
7. Impact of climate change on seismicity:a statistical approach C. Maji et al. https://doi.org/10.1007/s12517-021-08946-8
8. Is There an Earthquake Weather? M. Parrot & J. Pinçon https://doi.org/10.4236/ojer.2020.92005
9. Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach B. Sadhukhan et al. https://doi.org/10.1007/s12517-021-09229-y