115 citations as recorded by crossref.

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2. The first results of the pilot project on complex diagnosing earthquake precursors on Sakhalin S. Pulinets et al. https://doi.org/10.1134/S0016793209010162
3. Impact of seasonal variations on soil electrical conductivity as an earthquake precursor along the Margalla Fault Line, Islamabad Z. Naeem & S. Begum https://doi.org/10.1016/j.soildyn.2020.106233
4. Chlorophyll concentration and surface temperature changes associated with earthquakes H. Alvan et al. https://doi.org/10.1007/s11069-012-0264-8
5. Anomalies of total column CO and O<sub>3</sub> associated with great earthquakes in recent years Y. Cui et al. https://doi.org/10.5194/nhess-13-2513-2013
6. Systematization of Ionospheric, Geodynamic, and Thermal Precursors of Strong (M ≥ 6) Earthquakes Detected from Space V. Bondur et al. https://doi.org/10.1134/S0001433818090475
7. Two-step method to extract seismic microwave radiation anomaly: Case study of MS8.0 Wenchuan earthquake Y. Ma et al. https://doi.org/10.1007/s11589-011-0819-x
8. Generic precursors to coastal earthquakes: Inferences from Denali fault earthquake R. Singh et al. https://doi.org/10.1016/j.tecto.2006.05.040
9. 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
10. Unique atmospheric wave: precursor to the 26 January 2001 Bhuj, India, earthquake B. Gera et al. https://doi.org/10.1080/01431161.2010.542208
11. Looking for Earthquake Precursors From Space: A Critical Review P. Picozza et al. https://doi.org/10.3389/feart.2021.676775
12. Climatic and seismic data-driven deep learning model for earthquake magnitude prediction B. Sadhukhan et al. https://doi.org/10.3389/feart.2023.1082832
13. 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
14. Estimation of the date and magnitude of impending massive earthquakes using the integration of precursors obtainable from remote sensing data M. Khoshgoftar & M. Saradjian https://doi.org/10.15446/esrj.v28n4.105079
15. Study of local ionospheric plasma perturbation induced by pre-seismic activities A. Mahmoudian & A. Ghayour https://doi.org/10.1007/s11600-021-00633-2
16. 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
17. 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
18. Association of land surface temperature anomalies from GOES/ABI, MSG/SEVIRI, and Himawari-8/AHI with land earthquakes between 2010 and 2021 B. Boudriki Semlali et al. https://doi.org/10.1080/19475705.2024.2324982
19. 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
20. Detecting seismic IR anomalies in bi-angular Advanced Along-Track Scanning Radiometer data P. Xiong et al. https://doi.org/10.5194/nhess-13-2065-2013
21. Landscape Fragmentation and Spatial Autocorrelation of a Typical Watershed in the Wenchuan Earthquake-Affected Area—A Case Study in the Longxi River Basin X. Tian et al. https://doi.org/10.3390/f14122349
22. Evaluating Multiparameter Response to Seismic Thermal Anomalies From Global Major Earthquakes M. Jiang et al. https://doi.org/10.1109/JSTARS.2025.3563992
23. Satellite detection of carbon monoxide emission prior to the Gujarat earthquake of 26 January 2001 R. Singh et al. https://doi.org/10.1016/j.apgeochem.2010.01.014
24. Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process B. Nath et al. https://doi.org/10.3390/ijgi9020134
25. Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses M. Hayakawa et al. https://doi.org/10.3390/atmos16010088
26. Estimation of parameters (date and magnitude) of two strong earthquakes in Iran by integrating different earthquake precursors M. Khoshgoftar & M. Saradjian https://doi.org/10.52547/jgit.9.2.67
27. Analysis of the spatio-temporal distribution of chlorophyll-a in the eastern Indian Ocean near the time of the 2004 South Asian tsunami X. Zhang et al. https://doi.org/10.1080/01431161.2010.485141
28. 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
29. Land Use and Land Cover Changes, and Environment and Risk Evaluation of Dujiangyan City (SW China) Using Remote Sensing and GIS Techniques B. Nath et al. https://doi.org/10.3390/su10124631
30. Satellite thermal infrared anomalies associatedwith strong earthquakes in the Vrancea area ofRomania M. Zoran et al. https://doi.org/10.1515/geo-2015-0046
31. A case study of 10 years groundwater radon monitoring along the eastern margin of the Tibetan Plateau and in its adjacent regions: Implications for earthquake surveillance Y. Zhao et al. https://doi.org/10.1016/j.apgeochem.2021.105014
32. Change detection of an earthquake-induced barrier lake based on remote sensing image classification M. Xu et al. https://doi.org/10.1080/01431161003727689
33. Advances of Satellite Remote Sensing Technology in Earthquake Prediction X. Zhao et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000419
34. Deep multiparameter analysis of the precursory lithospheric, atmospheric and ionospheric anomalies before and during the 28 March 2025 Mw7.7 Myanmar-Burma earthquake A. De Santis et al. https://doi.org/10.1016/j.tecto.2026.231101
35. Surveillance of Vrancea active seismic region in Romania through time series satellite data M. Zoran et al. https://doi.org/10.2478/s13533-012-0158-z
36. 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
37. Study of Thermal Fields before Strong Earthquakes in Turkey on March 8, 2010 (M = 6.1), and January 24, 2020 (M = 6.7) V. Bondur & O. Voronova https://doi.org/10.1134/S0001433821090425
38. ULF geomagnetic anomalies of possible seismogenic origin observed at Teoloyucan station, México, in 1999–2001: Intermediate and short-time analysis A. Kotsarenko et al. https://doi.org/10.1016/j.tecto.2006.05.036
39. Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide E. Pavlidou et al. https://doi.org/10.3390/rs11010061
40. 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
41. Precursory signals associated with the 2010 M8.8 Bio-Bio earthquake (Chile) and the 2010 M7.2 Baja California earthquake (Mexico) H. Alvan et al. https://doi.org/10.1007/s12517-013-1117-9
42. Intensity Variations of OI 557.7 nm and OI 630.0 nm Lines before M5.0 and Greater Earthquakes in Tokyo Region, Japan, in 1979 to 1990 P. Gole et al. https://doi.org/10.1134/S1024856018060210
43. Pre-seismic anomalies from optical satellite observations: a review Z. Jiao et al. https://doi.org/10.5194/nhess-18-1013-2018
44. 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
45. Laboratory measurements on radon exposure effects on local environmental temperature: Implications for satellite TIR measurements G. Martinelli et al. https://doi.org/10.1016/j.pce.2015.03.007
46. Electro-magnetic earthquake bursts and critical rupture of peroxy bond networks in rocks F. Freund & D. Sornette https://doi.org/10.1016/j.tecto.2006.05.032
47. Remote sensing and earthquakes: A review A. Tronin https://doi.org/10.1016/j.pce.2006.02.024
48. Did tsunamis lead to changes in ocean properties? a revisit S. Bunson & C. Hu https://doi.org/10.3389/fmars.2023.1275445
49. Remote Sensing of Chlorophyll and Sea Surface Temperature in Indian Water with Impact of 2004 Sumatra Tsunami R. Sarangi https://doi.org/10.1080/01490419.2011.571561
50. Unusual Surface Latent Heat Flux Variations and Their Critical Dynamics Revealed before Strong Earthquakes S. Ghosh et al. https://doi.org/10.3390/e24010023
51. GPS total electron content and surface latent heat flux variations before the 11 March 2011 M9.0 Sendai earthquake T. Xu et al. https://doi.org/10.1016/j.asr.2011.06.024
52. A robust satellite technique for monitoring seismically active areas: The case of Bhuj–Gujarat earthquake N. Genzano et al. https://doi.org/10.1016/j.tecto.2006.04.024
53. First Results on the Systematic Search of Land Surface Temperature Anomalies as Earthquakes Precursors B. Boudriki Semlali et al. https://doi.org/10.3390/rs15041110
54. Surface latent heat flux anomalies before the M S 7.1 New Zealand earthquake 2010 K. Qin et al. https://doi.org/10.1007/s11434-011-4680-z
55. Study of thermal IR phenomena associated with 27 February 2010 Chile Mw 8.8 earthquake using MODIS data V. Kancherla et al. https://doi.org/10.1080/10106049.2016.1250824
56. The physical nature of thermal anomalies observed before strong earthquakes S. Pulinets et al. https://doi.org/10.1016/j.pce.2006.02.042
57. The elliptic stress thermal field prior to M S 7.3 Yutian, and M S 8.0 Wenchuan earthquakes in China in 2008 Q. Yao & Z. Qiang https://doi.org/10.1007/s11069-009-9470-4
58. 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
59. Monitoring of radon anomalies in South-Eastern part of Romania for earthquake surveillance M. Zoran et al. https://doi.org/10.1007/s10967-012-1780-4
60. Combined Analysis of Anomalous Variations in Various Geophysical Fields during Preparation of the M5.6 Earthquake near Lake Baikal on September 22, 2020, Based on Satellite Data V. Bondur et al. https://doi.org/10.1134/S0001433822120052
61. Thermal infrared anomalies associated with multi-year earthquakes in the Tibet region based on China’s FY-2E satellite data X. Lu et al. https://doi.org/10.1016/j.asr.2016.05.038
62. A combined approach using b-value and ionospheric GPS-TEC for large earthquake precursor detection: a case study for the Colima earthquake of 7.7 Mw, Mexico K. Nayak et al. https://doi.org/10.1007/s40328-023-00430-x
63. On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021 B. Boudriki Semlali et al. https://doi.org/10.1109/JSTARS.2023.3346204
64. 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
65. Variations of multi-parameter observations in atmosphere related to earthquake F. Jing et al. https://doi.org/10.5194/nhess-13-27-2013
66. 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
67. Exploring latent heat flux anomalies for seismic activity detection: insights from RST methodology and case studies Y. Zhang et al. https://doi.org/10.1007/s11069-026-07983-4
68. Ground radon exhalation, an electrostatic contribution for upper atmospheric layers processes N. Segovia et al. https://doi.org/10.1016/j.radmeas.2005.06.024
69. A Critical Review of Ground Based Observations of Earthquake Precursors L. Conti et al. https://doi.org/10.3389/feart.2021.676766
70. 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
71. Investigation of atmospheric anomalies associated with Kashmir and Awaran Earthquakes I. Mahmood et al. https://doi.org/10.1016/j.jastp.2016.12.018
72. Changes in Atmospheric, Meteorological, and Ocean Parameters Associated with the 12 January 2020 Taal Volcanic Eruption F. Jing et al. https://doi.org/10.3390/rs12061026
73. Satellite Remote Sensing in Seismology. A Review A. Tronin https://doi.org/10.3390/rs2010124
74. Meteorological Anomalies Based on Ground-Based AMeDAS Data for the 1995 Kobe Earthquake: Critical Natural Time Analysis M. Hayakawa et al. https://doi.org/10.4236/ojer.2025.142006
75. Possible thermal brightness temperature anomalies associated with the Lushan (China) M S7.0 earthquake on 20 April 2013 T. Xie & W. Ma https://doi.org/10.1007/s11589-014-0106-8
76. Large-scale seismic thermal anomaly linked to hot fluid expulsion from a deep aquifer H. Chen et al. https://doi.org/10.1016/j.gexplo.2005.11.019
77. 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
78. Atmospheric changes observed during April 2015 Nepal earthquake N. Ganguly https://doi.org/10.1016/j.jastp.2016.01.017
79. Thermal Anomalies Around the Time of Nepal Earthquakes M 7.8 April 25, 2015 And M 7.3 May 12, 2015 P. Hazra et al. https://doi.org/10.4018/IJGEE.2017010104
80. Assessment of the degree of building damage caused by the 2010 Yushu, China earthquake using satellite and airborne data S. Zheng et al. https://doi.org/10.1080/19475705.2011.553968
81. 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
82. Earthquake anomalies recognition through satellite and in-situ monitoring data M. Zoran et al. https://doi.org/10.5721/EuJRS20164952
83. Anomalous Variation in GPS TEC, Land and Ocean Parameters Prior to 3 Earthquakes K. Yadav et al. https://doi.org/10.1515/acgeo-2015-0057
84. Precursor anomalies prior to the 2006 Java and 2016 Yujing earthquakes I. Mahmood et al. https://doi.org/10.1088/1742-2140/aab622
85. An early warning system for coastal earthquakes G. Cervone et al. https://doi.org/10.1016/j.asr.2005.03.071
86. Precursory and coseismic groundwater temperature perturbation: An example from Taiwan S. Chien et al. https://doi.org/10.1016/j.jhydrol.2019.124457
87. Review of Subionospheric VLF/LF Radio Signals for the Study of Seismogenic Lower-Ionospheric Perturbations M. Hayakawa https://doi.org/10.3390/atmos16111312
88. On the possible origin of thermal infrared radiation (TIR) anomalies in earthquake-prone areas observed using robust satellite techniques (RST) V. Tramutoli et al. https://doi.org/10.1016/j.chemgeo.2012.10.042
89. Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) model – An unified concept for earthquake precursors validation S. Pulinets & D. Ouzounov https://doi.org/10.1016/j.jseaes.2010.03.005
90. 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
91. Quasi-synchronous multi-parameter anomalies associated with the 2010–2011 New Zealand earthquake sequence K. Qin et al. https://doi.org/10.5194/nhess-12-1059-2012
92. 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
93. 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
94. On the Relation Between Anomalous Clouds and Earthquakes in Italian Land G. Guangmeng https://doi.org/10.3389/feart.2022.812540
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97. 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
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102. Multi-Parametric Climatological Analysis Reveals the Involvement of Fluids in the Preparation Phase of the 2008 Ms 8.0 Wenchuan and 2013 Ms 7.0 Lushan Earthquakes Q. Liu et al. https://doi.org/10.3390/rs12101663
103. 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
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105. Latent heat flux and air temperature anomalies along an active fault zone associated with recent Iran earthquakes H. Alvan et al. https://doi.org/10.1016/j.asr.2013.08.002
106. Surface latent heat flux anomalies preceding inland earthquakes in China K. Qin et al. https://doi.org/10.1007/s11589-009-0555-7
107. Satellite-Detected Anomalous Changes in Parameters of Various Geophysical Fields During Earthquakes of 6 ≤ M ≤ 7.8 in Türkiye in February 2023 V. Bondur et al. https://doi.org/10.2205/2024ES000930
108. Multi-parametric analysis of earthquake precursors H. Wu et al. https://doi.org/10.2205/2015ES000553
109. Spatiotemporal Dynamic Characteristics of Land Use in the Typical Watershed of Wenchuan Earthquake-Affected Areas—A Case Study in the Longxi River Basin X. Tian et al. https://doi.org/10.3390/su142315937
110. MODIS and NOAA-AVHRR l and surface temperature data detect a thermal anomaly preceding the 11 March 2011 Tohoku earthquake M. Zoran https://doi.org/10.1080/01431161.2012.692833
111. Analysis of Ocean–Lithosphere–Atmosphere–Ionosphere Coupling Related to Two Strong Earthquakes Occurring in June–September 2022 on the Sea Coast of Philippines and Papua New Guinea X. Xu et al. https://doi.org/10.3390/rs15184392
112. A preliminary evaluation of surface latent heat flux as an earthquake precursor W. Zhang et al. https://doi.org/10.5194/nhess-13-2639-2013
113. In a search for seismomagnetic signals of NW Himalayan moderate earthquakes B. Sharma et al. https://doi.org/10.1007/s12040-022-02001-0
114. Multi‐sensor studies of the Sumatra earthquake and tsunami of 26 December 2004 R. Singh et al. https://doi.org/10.1080/01431160701237405
115. Application of dynamic data driven application system in environmental science J. Song et al. https://doi.org/10.1139/er-2013-0071