25 citations as recorded by crossref.

1. A Bayesian Approach for Forecasting the Probability of Large Earthquakes Using Thermal Anomalies from Satellite Observations Z. Jiao & X. Shan 10.3390/rs16091542
2. Signal-Processing Investigations on the Precursors of Strong Earthquakes Using GPS-TEC, ULF, and VLF Data . Swati et al. 10.1134/S001679322460070X
3. Characteristics and mechanism of MBT anomaly of Karakum desert related with the Hindu Kush earthquake Y. Ding et al. 10.1038/s44304-025-00060-z
4. Atmospheric and Ionospheric Effects of La Palma Volcano 2021 Eruption H. Zhang et al. 10.3390/atmos14081198
5. Are There One or More Geophysical Coupling Mechanisms before Earthquakes? The Case Study of Lushan (China) 2013 Y. Zhang et al. 10.3390/rs15061521
6. Editorial of Special Issue “Remote Sensing Observations to Improve Knowledge of Lithosphere–Atmosphere–Ionosphere Coupling during the Preparatory Phase of Earthquakes” D. Marchetti et al. 10.3390/rs16061064
7. Analysis of Seismic Methane Anomalies at the Multi-Spatial and Temporal Scales X. Wang et al. 10.3390/rs16122175
8. The Ionospheric Plasma Perturbations before a Sequence of Strong Earthquakes in Southeast Asia and Northern Oceania in 2018 D. Liu et al. 10.3390/rs15245735
9. Characteristics of Potential Ionospheric Anomalies Prior to the M7.4 April 2, 2024 Taiwan Earthquake Identified With Multiple Observations D. Wu et al. 10.1109/LGRS.2024.3452116
10. Geophysical Coupling Before Three Earthquake Doublets Around the Arabian Plate E. Ghamry et al. 10.3390/atmos15111318
11. 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 10.3390/geosciences14040096
12. On the generation of stress-induced charges for electromagnetic precursors in the fault zone J. Wang 10.1007/s12517-024-11940-5
13. Characteristics and mechanisms of near-surface negative atmospheric electric field anomalies preceding the 5 September 2022, Ms 6.8 Luding earthquake in China L. Wu et al. 10.5194/nhess-24-773-2024
14. Possible atmospheric-ionospheric precursors of the 2020 Hotan China earthquake from various satellites A. Hameed et al. 10.1016/j.asr.2024.06.016
15. Excitation of ULF, ELF, and VLF Resonator and Waveguide Oscillations in the Earth–Atmosphere–Ionosphere System by Lightning Current Sources Connected with Hunga Tonga Volcano Eruption Y. Rapoport et al. 10.3390/atmos16010097
16. 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 10.3390/atmos15081015
17. Quick Report on the ML = 3.3 on 1 January 2023 Guidonia (Rome, Italy) Earthquake: Evidence of a Seismic Acceleration D. Marchetti et al. 10.3390/rs15040942
18. Identification and Analysis of Multi-Station Atmospheric Electric Field Anomalies before the Yangbi Ms 6.4 Earthquake on 21 May 2021 L. Nie & X. Zhang 10.3390/atmos14101579
19. Changes in the lithosphere, atmosphere, and ionosphere before and during the Mw = 7.7 Jamaica 2020 earthquake D. Marchetti et al. 10.1016/j.rse.2024.114146
20. Study of the Preparation Phase of Turkey’s Powerful Earthquake (6 February 2023) by a Geophysical Multi-Parametric Fuzzy Inference System M. Akhoondzadeh & D. Marchetti 10.3390/rs15092224
21. A Spatially Self-Adaptive Multiparametric Anomaly Identification Scheme Based on Global Strong Earthquakes Z. Jiao et al. 10.3390/rs15153803
22. CSES-01 Electron Density Background Characterisation and Preliminary Investigation of Possible Ne Increase before Global Seismicity W. Chen et al. 10.3390/atmos14101527
23. Impact of climatic anomalies and reservoir induced seismicity on earthquake generation using Federated Learning R. Tehseen et al. 10.21015/vtse.v12i1.1729
24. A Comparative Study on Multi-Parameter Ionospheric Disturbances Associated with the 2015 Mw 7.5 and 2023 Mw 6.3 Earthquakes in Afghanistan R. Rasheed et al. 10.3390/rs16111839
25. Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach Y. Zhang et al. 10.1109/TGRS.2024.3492254