138 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
2. Key challenges and a roadmap for earthquake forecasting using satellite remote sensing data M. Akhoondzadeh https://doi.org/10.1016/j.asr.2026.08.054
3. Possible ionospheric anomalies associated with the 2009 Mw 6.4 Taiwan earthquake from DEMETER and GNSS TEC A. Abbasi et al. https://doi.org/10.1007/s40328-020-00325-1
4. 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
5. 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
6. "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
7. 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
8. 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
9. 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
10. 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
11. Investigation of the relationship between ionospheric foF2 and earthquakes T. Karaboga et al. https://doi.org/10.1016/j.asr.2018.01.015
12. 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
13. 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
14. The High-Energy Particle Detector on Board the CSES-02 Satellite S. Bartocci et al. https://doi.org/10.1007/s11214-026-01274-x
15. 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
16. 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
17. Modifications of the ionosphere prior to large earthquakes: report from the Ionosphere Precursor Study Group K. Oyama et al. https://doi.org/10.1186/s40562-016-0038-3
18. 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
19. Deprem ve Troposfer İlişkisi: Şili Örneği G. GÜRBÜZ & K. KOÇYİĞİT https://doi.org/10.35414/akufemubid.823640
20. 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
21. Influences of Solar Cycles on Earthquakes M. Tavares & A. Azevedo https://doi.org/10.4236/ns.2011.36060
22. 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
23. 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
24. Effectiveness of the Relative -Barbier Parameter in the Search for Ionospheric Precursors of Earthquakes S. Pulinets et al. https://doi.org/10.31857/S0016794023600102
25. 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
26. Earthquake prediction using satellite data: Advances and ahead challenges M. Akhoondzadeh https://doi.org/10.1016/j.asr.2024.06.054
27. 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
28. 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
29. An electric field penetration model for seismo-ionospheric research C. Zhou et al. https://doi.org/10.1016/j.asr.2017.08.007
30. In connection with identification of VLF emissions before L'Aquila earthquake M. Kachakhidze et al. https://doi.org/10.5194/nhess-12-1009-2012
31. SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model X. Liu et al. https://doi.org/10.4236/ojer.2023.124007
32. 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
33. Peculiarities of low-latitude and equatorial ionosphere prior to strong earthquakes A. Depueva https://doi.org/10.1080/19475705.2011.619206
34. 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
35. 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
36. 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
37. Multi-case observational analysis of possible strong-earthquake-related ionospheric anomaly characteristics in the southern segment of the Huayingshan fault zone, China S. Li et al. https://doi.org/10.1016/j.jastp.2026.106959
38. Bayesian fusion of satellite-based precursors for upcoming large earthquake magnitude prediction M. Akhoondzadeh https://doi.org/10.1080/19479832.2026.2613390
39. 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
40. 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
41. Application of satellites system based on different heights for ionospheric disturbances monitoring I. Kaloshin et al. https://doi.org/10.1051/matecconf/201815801015
42. 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
43. 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
44. 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
45. 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
46. The pre-earthquake ionospheric anomalies and the possible coupling mechanism related to the M8.8 Kamchatka earthquake occurred on July 29, 2025 R. Song et al. https://doi.org/10.1016/j.jastp.2026.106978
47. 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
48. 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
49. 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
50. 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
51. 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
52. The Seismo-Ionospheric Disturbances before the 9 June 2022 Maerkang Ms6.0 Earthquake Swarm J. Liu et al. https://doi.org/10.3390/atmos13111745
53. On the Origin of ULF Magnetic Waves Before the Taiwan Chi-Chi 1999 Earthquake G. Anagnostopoulos https://doi.org/10.3389/feart.2021.730162
54. 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
55. 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
56. 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
57. 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
58. 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
59. Possible connection between solar activity and local seismicity E. Takla & S. Samwel https://doi.org/10.1007/s44195-023-00042-6
60. 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
61. Statistical Seismo-Ionospheric Influence with the Focal Mechanism under Consideration M. Li et al. https://doi.org/10.3390/atmos14030455
62. The sun as a significant agent provoking earthquakes G. Anagnostopoulos et al. https://doi.org/10.1140/epjst/e2020-000266-2
63. 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
64. 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
65. 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
66. Associating an ionospheric parameter with major earthquake occurrence throughout the world D. GHOSH & S. MIDYA https://doi.org/10.1007/s12040-013-0372-1
67. 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
68. 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
69. 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
70. 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
71. Driving Source of Change for Ionosphere before Large Earthquake -Vertical Ground Motion- C. Chen et al. https://doi.org/10.3390/rs15184556
72. Statistical analysis of an ionospheric parameter as a base for earthquake prediction M. Li & M. Parrot https://doi.org/10.1002/jgra.50313
73. 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
74. 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
75. 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
76. 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
77. 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
78. Preliminary Analysis of Ionospheric Anomalies before Strong Earthquakes in and around Mainland China B. Zhao et al. https://doi.org/10.3390/atmos13030410
79. Unusual Childhood Waking as a Possible Precursor of the 1995 Kobe Earthquake M. Ikeya & N. Whitehead https://doi.org/10.3390/ani3010228
80. 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
81. Predicting the Magnitude of Upcoming Powerful Earthquakes by Integrating LAI Anomalies Gathered by Remote Sensing Satellites: The Case of Kamchatka–Russia Earthquake (July 29, 2025; Mw = 8.8) . Mehdi Akhoondzadeh https://doi.org/10.1134/S0016793225600213
82. 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
83. 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
84. 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
85. 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
86. 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
87. 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
88. 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
89. 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
90. 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
91. 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
92. 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
93. 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
94. 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
95. Atmospheric and ionospheric coupling phenomena associated with large earthquakes M. Parrot et al. https://doi.org/10.1140/epjst/e2020-000251-3
96. 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
97. A spatial analysis on seismo-ionospheric anomalies observed by DEMETER during the 2008 M8.0 Wenchuan earthquake J. Liu et al. https://doi.org/10.1016/j.jseaes.2015.06.012
98. Statistical Correlation Between DEMETER Satellite Electronic Perturbations and Global Earthquakes With M ≥ 4.8 Y. Zhang et al. https://doi.org/10.1109/TGRS.2023.3265931
99. CSES-01 Electron Density Background Characterisation and Preliminary Investigation of Possible Ne Increase before Global Seismicity W. Chen et al. https://doi.org/10.3390/atmos14101527
100. Prediction of the date, magnitude and affected area of impending strong earthquakes using integration of multi precursors earthquake parameters M. Saradjian & M. Akhoondzadeh https://doi.org/10.5194/nhess-11-1109-2011
101. Calibration of electric field data of DEMETER satellite X. Zhang et al. https://doi.org/10.1080/09205071.2018.1468285
102. 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
103. 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
104. 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
105. Deprem Kaynaklı Olabilecek İyonosferik Değişimlerin Belirlenmesi üzerine yeni bir yaklaşım geliştirilmesi S. İNYURT et al. https://doi.org/10.29128/geomatik.592477
106. 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
107. Meteorolojik Veriler Kullanılarak Deprem Tahmin Edilebilir mi? E. Uslan & E. Ulugergerli https://doi.org/10.46464/tdad.1472833
108. Earthquake magnitude prediction using the Dempster–Shafer fusion-based method and remote sensing data M. Akhoondzadeh https://doi.org/10.1080/19479832.2025.2557223
109. 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
110. Variations of electron density and temperature in ionosphere based on the DEMETER ISL data Y. He et al. https://doi.org/10.1007/s11589-010-0732-8
111. 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
112. 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
113. 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
114. 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
115. 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
116. Combining Swarm Langmuir probe observations, LEO-POD-based and ground-based GNSS receivers and ionosondes for prompt detection of ionospheric earthquake and tsunami signatures: case study of 2015 Chile-Illapel event W. Jarmołowski et al. https://doi.org/10.1051/swsc/2021042
117. Possibility of an earthquake prediction based on monitoring crustal deformation anomalies and thermal anomalies at the epicenter of earthquakes with oblique thrust faulting Z. Alizadeh Zakaria & F. Farnood Ahmadi https://doi.org/10.1007/s11600-019-00390-3
118. Effect of Some Major Shallow Earthquakes (M > 6.0, Depth < 30 km) that Occurred in and Around India on the GPS-Based Total Electron Content (TEC) of the Ionosphere . Manish Awasthi et al. https://doi.org/10.1134/S0016793223600819
119. Temporal and spatial analyses on seismo-electric anomalies associated with the 27 February 2010 &lt;i&gt;M&lt;/i&gt; = 8.8 Chile earthquake observed by DEMETER satellite Y. Ho et al. https://doi.org/10.5194/nhess-13-3281-2013
120. First results of MWC SAS3 electromagnetic wave experiment on board of the Chibis-M satellite S. Klimov et al. https://doi.org/10.1016/j.asr.2014.06.044
121. Pre-seismic ionospheric anomalies and spatio-temporal analyses of MODIS Land surface temperature and aerosols associated with Sep, 24 2013 Pakistan Earthquake A. Sekertekin et al. https://doi.org/10.1016/j.jastp.2020.105218
122. 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
123. Seismo-ionospheric anomalies before M7.2 Haiti earthquake of August 14, 2021, from GPS-TEC J. Thomas et al. https://doi.org/10.1007/s11600-022-00903-7
124. Anomalous changes in ionospheric TEC during an earthquake event of 13–14 April 2010 in the Chinese sector M. Aggarwal https://doi.org/10.1016/j.asr.2015.07.007
125. 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
126. 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
127. Recent Advances and Challenges in the Seismo-Electromagnetic Study: A Brief Review H. Chen et al. https://doi.org/10.3390/rs14225893
128. 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
129. 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
130. 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
131. 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
132. 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
133. 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
134. 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
135. 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
136. Predicting the Magnitude and Time of an Upcoming Strong Earthquake Using Satellite-Based Seismo-LAI Anomalies . Mehdi Akhoondzadeh https://doi.org/10.1134/S0016793225600043
137. 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
138. TEC Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021 Y. Yue et al. https://doi.org/10.3390/rs14174152