53 citations as recorded by crossref.

1. On the spatial scales of ionospheric perturbations caused by moderate earthquakes that occurred in Indian subcontinents K. Chaudhary et al.
2. Thermal and TEC anomalies detection using an intelligent hybrid system around the time of the Saravan, Iran, (M= 7.7) earthquake of 16 April 2013 M. Akhoondzadeh
3. TEC Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021 Y. Yue et al.
4. Support vector machines for TEC seismo-ionospheric anomalies detection M. Akhoondzadeh
5. Anomalous TEC variations associated with the strong Pakistan-Iran border region earthquake of 16 April 2013 at a low latitude station Agra, India D. Pundhir et al.
6. Ionospheric effects of earthquakes in Japan in March 2011 obtained from observations of lightning electromagnetic radio signals V. Mullayarov et al.
7. Firefly Algorithm in detection of TEC seismo-ionospheric anomalies M. Akhoondzadeh
8. A multi-experiment approach to ascertain electromagnetic precursors of Nepal earthquakes S. Sharma et al.
9. Investigating radon and TEC anomalies relative to earthquakes via AI models A. Muhammad et al.
10. Ionospheric Disturbances Recorded by DEMETER Satellite over Active Volcanoes: From August 2004 to December 2010 J. Zlotnicki et al.
11. 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.
12. Seismogenic ionospheric anomalies associated with the strong Indonesian earthquake occurred on 11 April 2012 (M = 8.5) U. Pandey et al.
13. Advances in Seismo-LAI anomalies detection within Google Earth Engine (GEE) cloud platform M. Akhoondzadeh
14. Schumann resonance observation in China and anomalous disturbance possibly associated with Tohoku M9.0 earthquake X. Ouyang et al.
15. Earthquake prediction using satellite data: Advances and ahead challenges M. Akhoondzadeh
16. A MLP neural network as an investigator of TEC time series to detect seismo-ionospheric anomalies M. Akhoondzadeh
17. Ionospheric characteristics prior to the greatest earthquake in recorded history C. Villalobos et al.
18. Study of ionospheric precursors using GPS and GIM-TEC data related to earthquakes occurred on 16 April and 24 September, 2013 in Pakistan region D. Pundhir et al.
19. Two-stage modeling of ionospheric TEC for earthquake precursors: forecasting with LSTM, GRU, RNN and classification via Random Forest based on the 2023 Türkiye earthquakes C. Budak
20. Statistical analysis of an ionospheric parameter as a base for earthquake prediction M. Li & M. Parrot
21. A Multi-Network based Hybrid LSTM model for ionospheric anomaly detection: A case study of the Mw 7.8 Nepal earthquake E. Şentürk et al.
22. A review on remotely sensed land surface temperature anomaly as an earthquake precursor A. Bhardwaj et al.
23. Remote Sensed Land Surface Temperature Anomalies for Earthquake Prediction M. Bellaoui et al.
24. A New 3-D Error Diagram for a More Balanced Assessment of Binary Alarms for Predicting Earthquakes: Application to TIR Anomalies in Sichuan Area, China Z. Ying et al.
25. Anomalous Variations of Ionosphere Associated with the Strong Earthquake at Pakistan-Iran Border at a Low Latitude Station Agra, India D. Pundhir et al.
26. Variations in the Power Spectral Density of Thunderstorm Discharge Pulses in the Frequency Band of 12–40 kHz Associated with Earthquakes in Japan and Taiwan V. Kabanov
27. Atmospheric and ionospheric disturbances associated with the M > 6 earthquakes in the East Asian sector: A case study of two consecutive earthquakes in Taiwan M. Adil et al.
28. Ionospheric Whispers of the Earth’s Tremors: Decoding TEC Mysteries in the East Anatolian Fault Zone M. Ghafar et al.
29. Impact of Geomagnetic Storms on Ionosphere Variability and Precise Point Positioning Application in High Latitudes of the Northern Hemisphereormalsize G. WANG et al.
30. Sub-ionospheric very low frequency perturbations associated with the 12 May 2008 <i>M</i> = 7.9 Wenchuan earthquake A. Maurya et al.
31. A semi-supervised total electron content anomaly detection method using LSTM-auto-encoder A. Muhammad & F. Külahcı
32. Electromagnetic Emissions Recorded by a Borehole TOA Installment before Four Huge Destructive <i>M</i><sub>S</sub> ≥ 8.0 Earthquakes in Asia M. Li et al.
33. On the significance of requisite criteria in detecting pre-earthquake ionospheric precursors: a case study of the Tohoku earthquake of March 11, 2011 V. Chukwuma et al.
34. Decision Tree, Bagging and Random Forest methods detect TEC seismo-ionospheric anomalies around the time of the Chile, (M= 8.8) earthquake of 27 February 2010 M. Akhoondzadeh
35. GRIMS: global and regional ionosphere monitoring system B. Ozdemir et al.
36. Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere N. Zulhamidi et al.
37. An Adaptive Network-based Fuzzy Inference System for the detection of thermal and TEC anomalies around the time of the Varzeghan, Iran, (M= 6.4) earthquake of 11 August 2012 M. Akhoondzadeh
38. Pre-seismic anomalies in remotely sensed land surface temperature measurements: The case study of 2003 Boumerdes earthquake M. Bellaoui et al.
39. Investigation of GPS-TEC measurements using ANN method indicating seismo-ionospheric anomalies around the time of the Chile (M= 8.2) earthquake of 01 April 2014 M. Akhoondzadeh
40. Examination of seismo-ionospheric anomalies before earthquakes of Mw ≥ 5.1 for the period 2008–2015 in Oaxaca, Mexico using GPS-TEC A. Melgarejo-Morales et al.
41. Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (Mw = 7.0) earthquake M. Saqib et al.
42. Statistical Correlation Between DEMETER Satellite Electronic Perturbations and Global Earthquakes With M ≥ 4.8 Y. Zhang et al.
43. Is the Apparent Correlation between Solar-Geomagnetic Activity and Occurrence of Powerful Earthquakes a Casual Artifact? M. Akhoondzadeh & A. De Santis
44. Kalman Filter, ANN-MLP, LSTM and ACO Methods Showing Anomalous GPS-TEC Variations Concerning Turkey’s Powerful Earthquake (6 February 2023) M. Akhoondzadeh
45. A Review of Earthquake Precursor Anomaly Extraction Techniques for Geophysical Time-Series Observations Z. Yu et al.
46. Application of the T2-Hotelling test for investigating ionospheric anomalies before large earthquakes Z. Sadeghi & M. Mashhadi-Hossainali
47. Anomalous seismo-LAI variations potentially associated with the 2017 Mw = 7.3 Sarpol-e Zahab (Iran) earthquake from Swarm satellites, GPS-TEC and climatological data M. Akhoondzadeh et al.
48. 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.
49. Genetic algorithm for TEC seismo-ionospheric anomalies detection around the time of the Solomon (M= 8.0) earthquake of 06 February 2013 M. Akhoondzadeh
50. Ionospheric anomalies detection using autoregressive integrated moving average (ARIMA) model as an earthquake precursor M. Saqib et al.
51. Identification of Seismogenic Anomalies Induced by 11 April, 2012 Indonesian Earthquake (M = 8.5) at Indian Latitudes Using GPS-TEC and ULF/VLF Measurements . Devbrat Pundhir et al.
52. On the detection of anomalous seismo-ionospheric behavior in the presence of space weather stimuli for large earthquakes B. Lim & E. Leong
53. 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.