37 citations as recorded by crossref.

1. An Effective Ionospheric TEC Predicting Approach Using EEMD-PE-Kmeans and Self-Attention LSTM X. Zhao et al.
2. Statistical Correlation Between DEMETER Satellite Electronic Perturbations and Global Earthquakes With M ≥ 4.8 Y. Zhang et al.
3. 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
4. A semi-supervised total electron content anomaly detection method using LSTM-auto-encoder A. Muhammad & F. Külahcı
5. Modeling of precipitable water vapor from GPS observations using machine learning and tomography methods M. Ghaffari Razin & B. Voosoghi
6. 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.
7. Firefly Algorithm in detection of TEC seismo-ionospheric anomalies M. Akhoondzadeh
8. Ionospheric TEC from the Turkish Permanent GNSS Network (TPGN) and comparison with ARMA and IRI models K. Ansari et al.
9. TEC Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021 Y. Yue et al.
10. 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
11. Pre-Seismic Anomaly Detection from Multichannel Infrared Images of FY-4A Satellite Y. Yue et al.
12. Challenges in the Detection of Ionospheric Pre-Earthquake Total Electron Content Anomalies (PETA) for Earthquake Forewarning B. Lim & E. Leong
13. Seismic classification-based method for recognizing epicenter-neighboring orbits S. Zang et al.
14. Modeling and forecasting of ionosphere TEC using least squares SVM in central Europe S. Ghaffari-Razin et al.
15. SBAS-Aided GPS Positioning with an Extended Ionosphere Map at the Boundaries of WAAS Service Area M. Kim & J. Kim
16. Earthquake prediction using satellite data: Advances and ahead challenges M. Akhoondzadeh
17. 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
18. Comparison of outliers and novelty detection to identify ionospheric TEC irregularities during geomagnetic storm and substorm A. Pattisahusiwa et al.
19. Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere N. Zulhamidi et al.
20. Support Vector Regression model to predict TEC for GNSS signals K. Sivakrishna et al.
21. Advances in Seismo-LAI anomalies detection within Google Earth Engine (GEE) cloud platform M. Akhoondzadeh
22. A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content H. Uyanık et al.
23. Evaluating Ionospheric Total Electron Content (TEC) Variations as Precursors to Seismic Activity: Insights from the 2024 Noto Peninsula and Nichinan Earthquakes of Japan K. Nayak et al.
24. GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework P. Xiong et al.
25. Feasibility of anomaly occurrence in aerosols time series obtained from MODIS satellite images during hazardous earthquakes M. Akhoondzadeh & F. Jahani Chehrebargh
26. Application of the T2-Hotelling test for investigating ionospheric anomalies before large earthquakes Z. Sadeghi & M. Mashhadi-Hossainali
27. 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
28. TEC Variability during Fluctuating Events at Koudougou Station during Solar Cycle 24 T. Pahima et al.
29. Extending the coverage area of regional ionosphere maps using a support vector machine algorithm M. Kim & J. Kim
30. Ion Transport from Soil to Air and Electric Field Amplitude of the Boundary Layer A. Muhammad et al.
31. Ionospheric characteristics prior to the greatest earthquake in recorded history C. Villalobos et al.
32. Ionospheric anomalies detection using autoregressive integrated moving average (ARIMA) model as an earthquake precursor M. Saqib et al.
33. Regional modeling and forecasting of precipitable water vapor using least square support vector regression S. Ghaffari-Razin et al.
34. Genetic algorithm for TEC seismo-ionospheric anomalies detection around the time of the Solomon (M= 8.0) earthquake of 06 February 2013 M. Akhoondzadeh
35. 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.
36. A review on remotely sensed land surface temperature anomaly as an earthquake precursor A. Bhardwaj et al.
37. Support Vector Machine for Regional Ionospheric Delay Modeling Z. Zhang et al.