23 citations as recorded by crossref.

1. A Deviation-Time-Space-Thermal (DTS-T) Method for Global Earth Observation System of Systems (GEOSS)-Based Earthquake Anomaly Recognition: Criterions and Quantify Indices K. Qin et al. https://doi.org/10.3390/rs5105143
2. Air Temperature Variations in Multiple Layers of the Indonesia Earthquake Based on the Tidal Forces X. Lu et al. https://doi.org/10.3390/rs15194852
3. Does air ionization by radon cause low-frequency atmospheric electromagnetic earthquake precursors? A. Schekotov et al. https://doi.org/10.1007/s11069-020-04487-7
4. 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
5. A comprehensive multiparametric and multilayer approach to study the preparation phase of large earthquakes from ground to space: The case study of the June 15 2019, M7.2 Kermadec Islands (New Zealand) earthquake A. De Santis et al. https://doi.org/10.1016/j.rse.2022.113325
6. Seismic triggering of atmospheric variables prior to the major earthquakes in the Middle East within a 12-year time-period of 2002–2013 M. Mansouri Daneshvar et al. https://doi.org/10.1007/s11069-014-1266-5
7. Atmospheric anomalies associated with Mw>6.0 earthquakes in Pakistan and Iran during 2010–2017 M. Shah et al. https://doi.org/10.1016/j.jastp.2019.06.003
8. Brief Communication: The interaction of clouds with surface latent heat flux variation before the 2011 M = 6.1 Russia earthquake Y. Jie & G. Guangmeng https://doi.org/10.5194/nhess-14-2649-2014
9. Quasi-Synchronous Variations in the OLR of NOAA and Ionospheric Ne of CSES of Three Earthquakes in Xinjiang, January 2020 C. Yu et al. https://doi.org/10.3390/atmos14121828
10. Towards advancing the earthquake forecasting by machine learning of satellite data P. Xiong et al. https://doi.org/10.1016/j.scitotenv.2021.145256
11. Geosphere coupling and hydrothermal anomalies before the 2009 Mw 6.3 L'Aquila earthquake in Italy L. Wu et al. https://doi.org/10.5194/nhess-16-1859-2016
12. Preliminary analysis of thermal anomalies before the 2010 Baja California M7.2 earthquake Y. Jie & G. Guangmeng https://doi.org/10.1016/S0187-6236(13)71089-0
13. Quasi-synchronous multi-parameter anomalies before Wenchuan and Yushu earthquakes in China K. Qin et al. https://doi.org/10.1140/epjst/e2020-000253-3
14. Scrutinizing and rooting the multiple anomalies of Nepal earthquake sequence in 2015 with the deviation–time–space criterion and homologous lithosphere–coversphere–atmosphere–ionosphere coupling physics L. Wu et al. https://doi.org/10.5194/nhess-23-231-2023
15. 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
16. Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide E. Pavlidou et al. https://doi.org/10.3390/rs11010061
17. Discriminating satellite IR anomalies associated with the MS 7.1 Yushu earthquake in China K. Qin et al. https://doi.org/10.1016/j.asr.2017.12.012
18. Surface latent heat flux anomalies quasi-synchronous with ionospheric disturbances before the 2007 Pu’er earthquake in China K. Qin et al. https://doi.org/10.1016/j.asr.2013.11.004
19. Time-lag correlations between atmospheric anomalies and earthquake events in Iran and the surrounding Middle East region (1980–2018) M. Mansouri Daneshvar et al. https://doi.org/10.1007/s12517-021-07591-5
20. Atmospheric Anomaly Analysis Related to Ms > 6.0 Earthquakes in China during 2020–2021 X. Xu et al. https://doi.org/10.3390/rs13204052
21. Vertical Structure of Air Temperature Excesses of the 2025 Mw 8.8 Kamchatka Earthquake X. Lu et al. https://doi.org/10.3390/rs18142306
22. Variations of multi-parameter observations in atmosphere related to earthquake F. Jing et al. https://doi.org/10.5194/nhess-13-27-2013
23. A Multi-parametric Climatological Approach to Study the 2016 Amatrice–Norcia (Central Italy) Earthquake Preparatory Phase A. Piscini et al. https://doi.org/10.1007/s00024-017-1597-8