134 citations as recorded by crossref.

1. Ionospheric anomalies related to strong earthquakes in North America as observed by TEC S. Park et al. https://doi.org/10.1016/j.asr.2021.07.026
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3. A novel framework for understanding the Seismo-LAIC mechanism using the Sequential Mann–Kendall anomaly detection method applied to satellite precursors M. Akhoondzadeh https://doi.org/10.1016/j.asr.2026.08.019
4. Are the Significant Ionospheric Anomalies Associated with the 2007 Great Deep-Focus Undersea Jakarta–Java Earthquake? D. Tao et al. https://doi.org/10.3390/rs14092211
5. "Real time analysis" of the ion density measured by the satellite DEMETER in relation with the seismic activity M. Li & M. Parrot https://doi.org/10.5194/nhess-12-2957-2012
6. Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere N. Zulhamidi et al. https://doi.org/10.3389/fspas.2023.1166394
7. Anomaly of the ionospheric electron density close to earthquakes: Case studies of Pu’er and Wenchuan earthquakes Y. He et al. https://doi.org/10.1007/s11589-011-0816-0
8. The regional characteristics of the occurrence rate of ionospheric anomalies in 2011–2018 F. Su et al. https://doi.org/10.1016/j.asr.2024.08.016
9. 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
10. Investigation of the relationship between ionospheric foF2 and earthquakes T. Karaboga et al. https://doi.org/10.1016/j.asr.2018.01.015
11. Seismic-ionospheric effects prior to four earthquakes in Indonesia detected by the China seismo-electromagnetic satellite R. Song et al. https://doi.org/10.1016/j.jastp.2020.105291
12. A study of the ionospheric disturbances associated with strong earthquakes using the empirical orthogonal function analysis J. Liu et al. https://doi.org/10.1016/j.jseaes.2018.10.007
13. The High-Energy Particle Detector on Board the CSES-02 Satellite S. Bartocci et al. https://doi.org/10.1007/s11214-026-01274-x
14. On the identification of earthquakes by along-orbit probe measurements of the parameters of local disturbances in the ionospheric plasma V. Shuvalov et al. https://doi.org/10.1007/s11069-024-06942-1
15. Comparative Statistical Detection of Ionospheric GPS-TEC Anomalies Associated with the 2021 Haiti and 2022 Cyprus Earthquakes S. Pal et al. https://doi.org/10.3390/geosciences16030129
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17. 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
18. Deprem ve Troposfer İlişkisi: Şili Örneği G. GÜRBÜZ & K. KOÇYİĞİT https://doi.org/10.35414/akufemubid.823640
19. Unusual ionospheric variations before the strong Auckland Islands, New Zealand earthquake of 30th September, 2007 J. Ibanga et al. https://doi.org/10.1016/j.nrjag.2017.12.007
20. Influences of Solar Cycles on Earthquakes M. Tavares & A. Azevedo https://doi.org/10.4236/ns.2011.36060
21. Multi-precursory Analysis of Phalla Earthquake (July 2015; Mw 5.1) Near Islamabad, Pakistan A. Barkat et al. https://doi.org/10.1007/s00024-018-1927-5
22. Ionospheric influence on the seismo-telluric current related to electromagnetic signals observed before the Wenchuan MS 8.0 earthquake M. Li et al. https://doi.org/10.5194/se-7-1405-2016
23. Effectiveness of the Relative -Barbier Parameter in the Search for Ionospheric Precursors of Earthquakes S. Pulinets et al. https://doi.org/10.31857/S0016794023600102
24. Seismic Foresight: A Novel Multi-Input 1D Convolutional Mixer Model for Earthquake Prediction Using Ionospheric Signals H. Uyanik et al. https://doi.org/10.1109/ACCESS.2025.3583749
25. Earthquake prediction using satellite data: Advances and ahead challenges M. Akhoondzadeh https://doi.org/10.1016/j.asr.2024.06.054
26. Singular spectrum analysis of ionospheric anomalies preceding great earthquakes: Case studies of Kaikoura and Fukushima earthquakes J. Guo et al. https://doi.org/10.1016/j.jog.2019.01.005
27. Analyses of data from the first Chinese seismo electromagnetic satellite (CSES-01) together with other earthquake precursors associated with the Turkey earthquakes (February 6, 2023) M. Akhoondzadeh https://doi.org/10.1515/jag-2024-0024
28. An electric field penetration model for seismo-ionospheric research C. Zhou et al. https://doi.org/10.1016/j.asr.2017.08.007
29. In connection with identification of VLF emissions before L'Aquila earthquake M. Kachakhidze et al. https://doi.org/10.5194/nhess-12-1009-2012
30. SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model X. Liu et al. https://doi.org/10.4236/ojer.2023.124007
31. Wave-like perturbations in the ionospheric F2-layer observed after the Ms8.1 Samoa earthquake of September 29, 2009 V. Hegai et al. https://doi.org/10.1016/j.asr.2011.01.011
32. Peculiarities of low-latitude and equatorial ionosphere prior to strong earthquakes A. Depueva https://doi.org/10.1080/19475705.2011.619206
33. Identification of seismic activity sources on the subsatellite track by ionospheric plasma disturbances detected with the Sich-2 onboard probes V. Shuvalov et al. https://doi.org/10.1016/j.asr.2017.08.001
34. Ionospheric activity and possible connection with seismicity: Contribution from the analysis of long time series of GNSS signals F. Mancini et al. https://doi.org/10.1016/j.pce.2014.10.005
35. Mathematical modeling of determining the kinetic parameters of charged plasma particles using an insulated probe system in the ionospheric conditions D. Lazuchenkov https://doi.org/10.15407/itm2024.04.052
36. Bayesian fusion of satellite-based precursors for upcoming large earthquake magnitude prediction M. Akhoondzadeh https://doi.org/10.1080/19479832.2026.2613390
37. Integrated analysis of atmospheric and ionospheric precursors using SARIMAX, NARX, and LSTM approaches for the 2024 Mw 7.4 Taiwan earthquake A. Tahreem et al. https://doi.org/10.1016/j.jastp.2026.106893
38. Statistical evidences of seismo-ionospheric precursors applying receiver operating characteristic (ROC) curve on the GPS total electron content in China Y. Chen et al. https://doi.org/10.1016/j.jseaes.2015.05.028
39. Application of satellites system based on different heights for ionospheric disturbances monitoring I. Kaloshin et al. https://doi.org/10.1051/matecconf/201815801015
40. Primary Joint Statistical Seismic Influence on Ionospheric Parameters Recorded by the CSES and DEMETER Satellites M. Li et al. https://doi.org/10.1029/2020JA028116
41. Spatio-temporal features of seismo-ionospheric influence revealed by the Swarm-B satellite M. Li et al. https://doi.org/10.1016/j.asr.2025.08.025
42. Automatically Detected CSES Ionospheric Precursors Before Part of the Strong Aftershocks of the 23 January 2024 Wushi MS 7.1 Earthquake in Northwest China M. Li et al. https://doi.org/10.3390/rs16224182
43. The DEMETER mission, recent investigations on ionospheric effects associated with man-made activities and seismic phenomena T. Onishi et al. https://doi.org/10.1016/j.crhy.2010.11.009
44. Applying support vector machine (SVM) using GPS-TEC and Space Weather parameters to distinguish ionospheric disturbances possibly related to earthquakes A. Melgarejo-Morales et al. https://doi.org/10.1016/j.asr.2023.08.028
45. Statistical investigation of the noise added to a model of the effect of solar activities on the plasma of the ionosphere using DEMETER satellite data M. Sharzehei et al. https://doi.org/10.1016/j.jastp.2015.05.011
46. Investigating the preparation phase of volcanic eruptions using Swarm and GPS-TEC satellite data: The case of the 29 May 2024 Iceland-Sundhnúkur volcanic eruption M. Akhoondzadeh https://doi.org/10.1515/jag-2025-0010
47. Electron temperature and ion density perturbations prior to the M6.8 Eastern Honshu, Japan earthquake of July 23, 2008 J. Thomas et al. https://doi.org/10.1007/s12040-021-01645-8
48. Statistical analysis of the ion density measured by the satellite DEMETER in relation with the seismic activity M. Parrot https://doi.org/10.1007/s11589-011-0813-3
49. The Seismo-Ionospheric Disturbances before the 9 June 2022 Maerkang Ms6.0 Earthquake Swarm J. Liu et al. https://doi.org/10.3390/atmos13111745
50. On the Origin of ULF Magnetic Waves Before the Taiwan Chi-Chi 1999 Earthquake G. Anagnostopoulos https://doi.org/10.3389/feart.2021.730162
51. Investigation of ULF Seismo-Magnetic Phenomena in Kanto, Japan During 2000–2010: Case Studies and Statistical Studies K. Hattori et al. https://doi.org/10.1007/s10712-012-9215-x
52. Possible Seismo Ionospheric Anomalies before the 2016 Mw 7.6 Chile Earthquake from GPS TEC, GIM TEC and Swarm Satellites Z. Rahman https://doi.org/10.47264/idea.nasij/1.1.2
53. Response of the ionospheric electron density to different types of seismic events Y. He et al. https://doi.org/10.5194/nhess-11-2173-2011
54. Temporal-spatial characteristics of seismo-ionospheric influence observed by the CSES satellite M. Li et al. https://doi.org/10.1016/j.asr.2023.07.044
55. Some comments on the potential seismogenic origin of magnetic disturbances observed by Di Lorenzo et al. (2011) close to the time of the 6 April 2009 L'Aquila earthquake F. Masci & G. De Luca https://doi.org/10.5194/nhess-13-1313-2013
56. Possible connection between solar activity and local seismicity E. Takla & S. Samwel https://doi.org/10.1007/s44195-023-00042-6
57. Macroscopic anomalies before the September 2010 <i>M</i> = 7.1 earthquake in Christchurch, New Zealand N. Whitehead & Ü. Ulusoy https://doi.org/10.5194/nhess-13-167-2013
58. Statistical Seismo-Ionospheric Influence with the Focal Mechanism under Consideration M. Li et al. https://doi.org/10.3390/atmos14030455
59. The sun as a significant agent provoking earthquakes G. Anagnostopoulos et al. https://doi.org/10.1140/epjst/e2020-000266-2
60. A study using satellite data on LAI anomalies observed before the powerful earthquake of March 28, 2025 in Myanmar M. Akhoondzadeh https://doi.org/10.1016/j.asr.2025.07.029
61. Seismo-ionospheric precursory anomalies detection from DEMETER satellite data based on data mining Y. Wang et al. https://doi.org/10.1007/s11069-014-1519-3
62. Electron density anomalies associated with M≥5.9 earthquakes in Indonesia during 2005 observed by DEMETER S. Sarkar et al. https://doi.org/10.1016/j.jastp.2011.06.004
63. Associating an ionospheric parameter with major earthquake occurrence throughout the world D. GHOSH & S. MIDYA https://doi.org/10.1007/s12040-013-0372-1
64. Ionospheric perturbations: a case study of 2007 five major earthquakes using DEMETER data J. Thomas et al. https://doi.org/10.1007/s11600-023-01059-8
65. Analysis of space- and ground-based parameters prior to an earthquake on 12 December 2009 S. Karia et al. https://doi.org/10.1080/01431161.2013.827341
66. Effectiveness of the Relative δ-Barbier Parameter in the Search for Ionospheric Precursors of Earthquakes S. Pulinets et al. https://doi.org/10.1134/S001679322360008X
67. Advances in Seismo-LAI anomalies detection within Google Earth Engine (GEE) cloud platform M. Akhoondzadeh https://doi.org/10.1016/j.asr.2022.03.033
68. Driving Source of Change for Ionosphere before Large Earthquake -Vertical Ground Motion- C. Chen et al. https://doi.org/10.3390/rs15184556
69. Statistical analysis of an ionospheric parameter as a base for earthquake prediction M. Li & M. Parrot https://doi.org/10.1002/jgra.50313
70. Statistical analysis of ionospheric TEC anomalies before global M w ≥ 7.0 earthquakes using data of CODE GIM W. Liu & L. Xu https://doi.org/10.1007/s10950-016-9634-0
71. Novelty detection in time series of ULF magnetic and electric components obtained from DEMETER satellite experiments above Samoa (29 September 2009) earthquake region M. Akhoondzadeh https://doi.org/10.5194/nhess-13-15-2013
72. Detection of possible ionospheric precursor caused by Papua New Guinea earthquake (Mw 7.5) M. Ulukavak & S. Inyurt https://doi.org/10.1007/s10661-020-8146-0
73. Comparative analysis of TEC anomalies preceding the 2022 Cyprus and Alaska earthquakes E. Eroglu et al. https://doi.org/10.1016/j.asr.2025.09.011
74. A statistical analysis of seismo-ionospheric TEC anomalies before 63 Mw ≥ 5.0 earthquakes in Turkey during 2003–2016 E. Şentürk & M. Çepni https://doi.org/10.1007/s11600-018-0214-2
75. Preliminary Analysis of Ionospheric Anomalies before Strong Earthquakes in and around Mainland China B. Zhao et al. https://doi.org/10.3390/atmos13030410
76. Unusual Childhood Waking as a Possible Precursor of the 1995 Kobe Earthquake M. Ikeya & N. Whitehead https://doi.org/10.3390/ani3010228
77. Assessing seismo-ionospheric disturbances using Vanuatu and Honshu earthquakes of March 25, 2007, employing DEMETER and GPS data A. Akpan et al. https://doi.org/10.1007/s13762-019-02339-x
78. 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
79. A Pre-Seismic Anomaly Detection Approach Based on Earthquake Cross Partial Multi-View Data Fusion Y. Huang et al. https://doi.org/10.3390/magnetochemistry9020048
80. Detection of Effects of Shallow Major Earthquakes (M ≥ 5.0, depth ≤ 30 km) Occurred in India, Nepal, and China on Ionosphere Using Statistical Approaches R. Singh et al. https://doi.org/10.1134/S0016793224600887
81. Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity M. Saqib et al. https://doi.org/10.1016/j.asr.2024.05.023
82. Spatial Correspondence Between Seismic b-Value Stress Localization and Pre-Earthquake GNSS-TEC Anomalies in Southern California and Northern Baja California K. Nayak & R. Colonna https://doi.org/10.3390/rs18152574
83. The Ionospheric Plasma Perturbations before a Sequence of Strong Earthquakes in Southeast Asia and Northern Oceania in 2018 D. Liu et al. https://doi.org/10.3390/rs15245735
84. 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
85. Indications of Ground-based Electromagnetic Observations to A Possible Lithosphere–Atmosphere–Ionosphere Electromagnetic Coupling before the 12 May 2008 Wenchuan MS 8.0 Earthquake M. Li et al. https://doi.org/10.3390/atmos10070355
86. Identification of the ionospheric disturbances prior to large earthquakes in Türkiye using Random Forests algorithm N. Zorkun et al. https://doi.org/10.1016/j.asr.2025.06.080
87. Pre-Seismic Irregularities during the 2020 Samos (Greece) Earthquake (M = 6.9) as Investigated from Multi-Parameter Approach by Ground and Space-Based Techniques S. Sasmal et al. https://doi.org/10.3390/atmos12081059
88. Ionospheric Disturbances Possibly Associated with Yangbi Ms6.4 and Maduo Ms7.4 Earthquakes in China from China Seismo Electromagnetic Satellite X. Du & X. Zhang https://doi.org/10.3390/atmos13030438
89. Two independent real-time precursors of the 7.8 Mw earthquake in Ecuador based on radioactive and geodetic processes—Powerful tools for an early warning system T. Toulkeridis et al. https://doi.org/10.1016/j.jog.2019.03.003
90. Anomalous increase in the foF2 critical frequency prior to the Spanish earthquake of May 11, 2011 V. Hegai et al. https://doi.org/10.1134/S0016793214010058
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92. ON THE SPACE-TIME LOCALIZATION OF INCIPIENT EARTHQUAKES BY DIAGNOSTICS OF DISTURBANCES IN THE IONOSPHERIC PLASMA USING A SPACE PROBE V. SHUVALOV et al. https://doi.org/10.15407/knit2024.06.036
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98. Statistical analysis of the ionospheric ion density recorded by DEMETER in the epicenter areas of earthquakes as well as in their magnetically conjugate point areas M. Li & M. Parrot https://doi.org/10.1016/j.asr.2017.10.047
99. One sliding PCA method to detect ionospheric anomalies before strong Earthquakes: Cases study of Qinghai, Honshu, Hotan and Nepal earthquakes X. Chang et al. https://doi.org/10.1016/j.asr.2017.02.007
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102. Seismo-ionospheric anomalies in ionospheric TEC and plasma density before the 17 July 2006 <i>M</i>7.7 south of Java earthquake D. Tao et al. https://doi.org/10.5194/angeo-35-589-2017
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105. Analysis of Seismo-Ionospheric Anomaly Disturbance Associated with the Mw7.6 Mexico Earthquake on 19 September 2022 Z. Li et al. https://doi.org/10.3390/atmos17080750
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107. Retrospective investigation of geomagnetic field time-series during the 2009 L'Aquila seismic sequence F. Masci & M. Di Persio https://doi.org/10.1016/j.tecto.2012.01.008
108. Investigation of LAI disturbances associated with the Shahid-Rajaee port explosion in Iran (April 26, 2025) using satellite data M. Akhoondzadeh https://doi.org/10.1016/j.asr.2025.10.078
109. Statistical Study of the Magnetic Noise in a Model Describing the Effect of Solar Activity on the Ionosphere M. sharzehei et al. https://doi.org/10.1007/s40998-017-0038-0
110. The Correlation between Ionospheric Electron Density Variations Derived from Swarm Satellite Observations and Seismic Activity at the Australian–Pacific Tectonic Plate Boundary W. Jarmołowski et al. https://doi.org/10.3390/rs15235557
111. Possible Lithosphere-Atmosphere-Ionosphere Coupling effects prior to the 2018 Mw = 7.5 Indonesia earthquake from seismic, atmospheric and ionospheric data D. Marchetti et al. https://doi.org/10.1016/j.jseaes.2019.104097
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118. Developing a Deep Learning-Based Detector of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake M. Akhoondzadeh et al. https://doi.org/10.3390/rs14071582
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121. 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
122. Contrastive research of ionospheric precursor anomalies between Calbuco volcanic eruption on April 23 and Nepal earthquake on April 25, 2015 W. Li et al. https://doi.org/10.1016/j.asr.2016.02.014
123. Recent Advances and Challenges in the Seismo-Electromagnetic Study: A Brief Review H. Chen et al. https://doi.org/10.3390/rs14225893
124. GPS-TEC variations analysis around the time and location of volcanoes eruption to detect volcano-ionospheric anomalies M. Akhoondzadeh https://doi.org/10.1515/jag-2025-0114
125. Statistical seismo-ionospheric precursors of M7.0+ earthquakes in Circum-Pacific seismic belt by GPS TEC measurements W. Li et al. https://doi.org/10.1016/j.asr.2017.12.013
126. Wavelet-Based Multifractal Analysis of DEMETER Satellite Data Before the L’Aquila Earthquake of 2009 S. Ouadfeul et al. https://doi.org/10.1007/s13369-015-1938-9
127. Anomalous variations in the foF2 critical frequency above Japan prior to the earthquake of March 9, 2011 V. Khegai et al. https://doi.org/10.1134/S0016793213040099
128. 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
129. Review of unprecedented ULF electromagnetic anomalous emissions possibly related to the Wenchuan &lt;i&gt;M&lt;/i&gt;&lt;sub&gt;S&lt;/sub&gt; = 8.0 earthquake, on 12 May 2008 M. Li et al. https://doi.org/10.5194/nhess-13-279-2013
130. Two Large Earthquakes Registered by the CSES Satellite during Its Earthquake Prediction Practice in China M. Li et al. https://doi.org/10.3390/atmos13050751
131. TEC variations over the Mediterranean before and during the strong earthquake ( M = 6.5) of 12th October 2013 in Crete, Greece M. Contadakis et al. https://doi.org/10.1016/j.pce.2015.03.010
132. Predicting the Magnitude and Time of an Upcoming Strong Earthquake Using Satellite-Based Seismo-LAI Anomalies . Mehdi Akhoondzadeh https://doi.org/10.1134/S0016793225600043
133. DEMETER seismo-ionospheric influence under spatio-temporal point pattern analysis method H. Yan et al. https://doi.org/10.1016/j.asr.2026.01.095
134. TEC Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021 Y. Yue et al. https://doi.org/10.3390/rs14174152