68 citations as recorded by crossref.

1. Atmospheric Anomaly Analysis Related to Ms > 6.0 Earthquakes in China during 2020–2021 X. Xu et al. https://doi.org/10.3390/rs13204052
2. Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods Z. Khalid et al. https://doi.org/10.1007/s11069-024-06562-9
3. Observation of surface and atmospheric parameters using “NOAA 18” satellite: a study on earthquakes of Sumatra and Nicobar Is regions for the year 2014 (M ≥ 6.0) V. Natarajan & P. Philipoff https://doi.org/10.1007/s11069-018-3242-y
4. 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
5. Satellite and ground-based observation of pre-earthquake signals—a case study on the Central Italy region earthquakes V. Natarajan et al. https://doi.org/10.1007/s12648-019-01450-6
6. Land – Atmosphere – Meteorological coupling associated with the 2015 Gorkha (M 7.8) and Dolakha (M 7.3) Nepal earthquakes F. Jing et al. https://doi.org/10.1080/19475705.2019.1573629
7. Predictors of indoor radon levels in the Midwest United States A. Carrion-Matta et al. https://doi.org/10.1080/10962247.2021.1950074
8. Outgoing longwave radiation anomalies analysis associated with different types of seismic activity P. Xiong & X. Shen https://doi.org/10.1016/j.asr.2016.12.011
9. Effect of Earthquake Preparation on Changes in Meteorological Characteristics (Based on the Example of the 2003 Chuya Earthquake) A. Shitov et al. https://doi.org/10.31857/S0016794023600011
10. Satellite detection of IR precursors using bi-angular advanced along-track scanning radiometer data: a case study of Yushu earthquake P. Xiong et al. https://doi.org/10.1007/s11589-015-0111-6
11. Investigation of earthquake thermal precursors in active tectonic regions of the world I. Mahmood et al. https://doi.org/10.1016/j.jog.2020.101785
12. Modification of size estimation of earthquake precursor manifestation zones referring to LCAI coupling and seismic strain radius calculations R. Rasheed et al. https://doi.org/10.1016/j.asr.2025.09.025
13. Anomalies of land-atmospheric parameters in the 2023 Turkey earthquake (Mw7.8) using GNSS and ERA5 L. Li et al. https://doi.org/10.1080/19475705.2026.2637789
14. Observation of abnormal thermal and infrasound signals prior to the earthquakes: a study on Bonin Island earthquake M7.8 (May 30, 2015) N. Venkatanathan et al. https://doi.org/10.1007/s12665-017-6532-x
15. Possible Generation of Quasi-Periodic Magnetic Precursors of Earthquakes L. Chernogor https://doi.org/10.1134/S001679321903006X
16. Pronounced Changes in Thermal Signals Associated with the Madoi (China) M 7.3 Earthquake from Passive Microwave and Infrared Satellite Data F. Jing et al. https://doi.org/10.3390/rs14112539
17. Pre-seismic anomaly analysis of the Turkey earthquakes on 6 February 2023 based on multi-source satellite observations J. Liu et al. https://doi.org/10.1007/s11069-024-06694-y
18. Unveiling earthquake precursors with SARIMAX: a case study of atmospheric anomalies for the Mw ≥ 5.9 China earthquakes A. Liaqat et al. https://doi.org/10.1016/j.asr.2025.09.029
19. A comprehensive study on the synchronized outgoing longwave radiation and relative humidity anomalies related to global Mw ≥ 6.5 earthquakes M. Shah et al. https://doi.org/10.1007/s11069-023-06262-w
20. Anomalous variations of air temperature prior to earthquakes I. Mahmood https://doi.org/10.1080/10106049.2019.1648565
21. Application of Model-Based Time Series Prediction of Infrared Long-Wave Radiation Data for Exploring the Precursory Patterns Associated with the 2021 Madoi Earthquake J. Zhang et al. https://doi.org/10.3390/rs15194748
22. Steep-Terrain-Referenced Multilayer Analysis Reveals Vertically Decaying Thermal Anomalies Preceding Large Earthquakes W. Mao & Y. Qi https://doi.org/10.1109/LGRS.2026.3657672
23. Observation of pre-earthquake thermal signatures using geostationary satellites: implications for earthquake forecasting V. Natarajan et al. https://doi.org/10.1117/1.JRS.10.046004
24. Origins of Thermal Anomalies Prior to Earthquakes: Lithosphere, Atmosphere, or Ionosphere? Y. Zhang et al. https://doi.org/10.1109/TGRS.2026.3657753
25. Physical bases of the generation of short-term earthquake precursors: A complex model of ionization-induced geophysical processes in the lithosphere-atmosphere-ionosphere-magnetosphere system S. Pulinets et al. https://doi.org/10.1134/S0016793215040131
26. Atmospheric and ionospheric coupling phenomena associated with large earthquakes M. Parrot et al. https://doi.org/10.1140/epjst/e2020-000251-3
27. Pre-Seismic Anomaly Detection from Multichannel Infrared Images of FY-4A Satellite Y. Yue et al. https://doi.org/10.3390/rs15010259
28. Earth’s Outgoing Longwave Radiation Variability Prior to M ≥6.0 Earthquakes in the Taiwan Area During 2009–2019 C. Fu et al. https://doi.org/10.3389/feart.2020.00364
29. Spatiotemporal Analysis of Atmospheric Chemical Potential Anomalies Associated with Major Seismic Events (Ms ≥ 7) in Western China: A Multi-Case Study Q. Jiao et al. https://doi.org/10.3390/rs17020311
30. Quasi-coseismic variations and geosphere coupling associated with the strong 2023 Turkey earthquakes F. Jing et al. https://doi.org/10.1016/j.scitotenv.2023.167963
31. Sea temperature variation associated with the 2021 Haiti Mw 7.2 earthquake and possible mechanism L. Zhang et al. https://doi.org/10.1080/19475705.2022.2137439
32. RST Analysis of Anomalous TIR Sequences in Relation with Earthquakes Occurred in Turkey in the Period 2004–2015 C. Filizzola et al. https://doi.org/10.3390/rs14020381
33. Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST Z. Lai et al. https://doi.org/10.3390/rs15051271
34. Passive microwave response associated with two main earthquakes in Tibetan Plateau, China F. Jing et al. https://doi.org/10.1016/j.asr.2018.06.030
35. Effect of Earthquake Preparation on Changes in Meteorological Characteristics (Based on the Example of the 2003 Chuya Earthquake) A. Shitov et al. https://doi.org/10.1134/S0016793223600285
36. Long-term statistical evidence proving the correspondence between tir anomalies and earthquakes is still absent Y. Zhang et al. https://doi.org/10.1140/epjst/e2020-000248-4
37. Towards advancing the earthquake forecasting by machine learning of satellite data P. Xiong et al. https://doi.org/10.1016/j.scitotenv.2021.145256
38. The 2023 Mw 6.8 Morocco earthquake induced atmospheric and ionospheric anomalies S. Haider et al. https://doi.org/10.1016/j.jastp.2024.106323
39. Pre-seismic anomalies from optical satellite observations: a review Z. Jiao et al. https://doi.org/10.5194/nhess-18-1013-2018
40. Investigation of atmospheric anomalies associated with Kashmir and Awaran Earthquakes I. Mahmood et al. https://doi.org/10.1016/j.jastp.2016.12.018
41. Geosystemics View of Earthquakes A. De Santis et al. https://doi.org/10.3390/e21040412
42. Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China F. Jing et al. https://doi.org/10.1109/JSTARS.2020.2968568
43. 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
44. Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake S. Haider et al. https://doi.org/10.3390/rs16020222
45. Multi-satellite based possible precursory signals detection linked to the 2024 Mw 7.5 Noto Peninsula Japan earthquake R. Shahzad et al. https://doi.org/10.1016/j.asr.2025.04.015
46. Satellite thermal infrared anomalies associatedwith strong earthquakes in the Vrancea area ofRomania M. Zoran et al. https://doi.org/10.1515/geo-2015-0046
47. Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction J. Zhang et al. https://doi.org/10.3390/app142411854
48. 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
49. Pre-earthquake Atmospheric and Ionospheric Anomalies before Taiwan Earthquakes (M 6.1 and M 6.4) on February (4th and 6th), 2018 C. Prasanna Simha et al. https://doi.org/10.1134/S0016793220050151
50. Integration of multiple earthquakes precursors before large earthquakes: A case study of 25 April 2015 in Nepal E. Ghamry et al. https://doi.org/10.1016/j.jastp.2022.105982
51. Geospace perturbations induced by the Earth: The state of the art and future trends A. De Santis et al. https://doi.org/10.1016/j.pce.2015.05.004
52. Hydrothermal anomalies of the Earth's surface and crustal seismicity related to Ms8.0 Wenchuan EQ S. Zheng et al. https://doi.org/10.1007/s11069-020-04263-7
53. Thermodynamic instability of the atmospheric boundary layer stimulated by tectonic and seismic activity S. Pulinets et al. https://doi.org/10.1016/j.jastp.2023.106050
54. Changes observed in land surface and air temperature after the Yushu (China) (6.9 Mw) and Kaikoura (New Zealand) (7.8 Mw) earthquakes using Landsat thermal and geophysical datasets B. Nath et al. https://doi.org/10.1007/s12040-024-02441-w
55. Questioning whether there was a short-term interaction between the 6 February 2023 earthquakes and air quality parameters in Türkiye Ü. Alver Şahin & B. Kaynak https://doi.org/10.1016/j.chemosphere.2023.140616
56. Changes in land, ocean, atmospheric parameters associated with the 2025 Myanmar (Mw 7.7) earthquake F. Jing et al. https://doi.org/10.1080/19475705.2026.2649431
57. Spatiotemporal analysis of OLR as a precursory signature of seismic nucleation process in Sumatra region R. Jeyaraman & N. Venkatanathan https://doi.org/10.1007/s12665-023-11226-1
58. Deep Machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake M. Draz et al. https://doi.org/10.3390/rs15071904
59. Three-dimensional thermo-hydro-mechanical coupled modeling of thermal anomalies before the 2008 Wenchuan earthquake C. Zhu et al. https://doi.org/10.1007/s12303-019-0048-1
60. Temperature Variations in Multiple Air Layers before the Mw 6.2 2014 Ludian Earthquake, Yunnan, China Y. Zhang et al. https://doi.org/10.3390/rs13050884
61. Atmospheric, ionospheric and earth-related variations associated with the 11th August 2012 earthquakes, Ahar, Iran E. Mohamed et al. https://doi.org/10.1016/j.jastp.2021.105595
62. Statistical and Comparative Analysis of Multi-Channel Infrared Anomalies before Earthquakes in China and the Surrounding Area Y. Yue et al. https://doi.org/10.3390/app12167958
63. A Critical Review of Ground Based Observations of Earthquake Precursors L. Conti et al. https://doi.org/10.3389/feart.2021.676766
64. The Relationship Between the Seismic Regime and Low-Frequency Variations in Meteorological Parameters Measured at a Network of Stations in Japan A. Lyubushin & E. Rodionov https://doi.org/10.3390/atmos16101129
65. Changes in Tropospheric Ozone Associated With Strong Earthquakes and Possible Mechanism F. Jing & R. Singh https://doi.org/10.1109/JSTARS.2021.3080843
66. Response of Surface and Atmospheric Parameters Associated With the Iran M 7.3 Earthquake F. Jing & R. Singh https://doi.org/10.1109/JSTARS.2022.3188003
67. Co-seismic characterization analysis in PWV and land-atmospheric observations associated with Luding Ms 6.8 earthquake occurrence in China on September 5, 2022 A. Guo et al. https://doi.org/10.1080/19475705.2023.2279494
68. Detection of Seismic Microwave Radiation Anomalies in Snow-Covered Mountainous Terrain: Insights From Two Recent Earthquakes in the Pamir–Tien Shan Region F. Jing et al. https://doi.org/10.1109/JSTARS.2024.3472045