20 citations as recorded by crossref.

1. 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 10.1016/j.asr.2016.03.035
2. Modeling of precipitable water vapor from GPS observations using machine learning and tomography methods M. Ghaffari Razin & B. Voosoghi 10.1016/j.asr.2022.01.003
3. 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. 10.1007/s40328-021-00371-3
4. Feasibility of anomaly occurrence in aerosols time series obtained from MODIS satellite images during hazardous earthquakes M. Akhoondzadeh & F. Jahani Chehrebargh 10.1016/j.asr.2016.05.046
5. Firefly Algorithm in detection of TEC seismo-ionospheric anomalies M. Akhoondzadeh 10.1016/j.asr.2015.03.025
6. Application of the T2-Hotelling test for investigating ionospheric anomalies before large earthquakes Z. Sadeghi & M. Mashhadi-Hossainali 10.1016/j.jastp.2019.01.010
7. Investigation of GPS-TEC measurements using ANN method indicating seismo-ionospheric anomalies around the time of the Chile (Mw=8.2) earthquake of 01 April 2014 M. Akhoondzadeh 10.1016/j.asr.2014.07.013
8. Ionospheric TEC from the Turkish Permanent GNSS Network (TPGN) and comparison with ARMA and IRI models K. Ansari et al. 10.1007/s10509-017-3159-z
9. Thermal and TEC anomalies detection using an intelligent hybrid system around the time of the Saravan, Iran, (Mw=7.7) earthquake of 16 April 2013 M. Akhoondzadeh 10.1016/j.asr.2013.12.017
10. Challenges in the Detection of Ionospheric Pre-Earthquake Total Electron Content Anomalies (PETA) for Earthquake Forewarning B. Lim & E. Leong 10.1007/s00024-018-2083-7
11. Seismic classification-based method for recognizing epicenter-neighboring orbits S. Zang et al. 10.1016/j.asr.2017.01.016
12. Extending the coverage area of regional ionosphere maps using a support vector machine algorithm M. Kim & J. Kim 10.5194/angeo-37-77-2019
13. SBAS-Aided GPS Positioning with an Extended Ionosphere Map at the Boundaries of WAAS Service Area M. Kim & J. Kim 10.3390/rs13010151
14. Ionospheric characteristics prior to the greatest earthquake in recorded history C. Villalobos et al. 10.1016/j.asr.2015.09.015
15. Ionospheric anomalies detection using autoregressive integrated moving average (ARIMA) model as an earthquake precursor M. Saqib et al. 10.1007/s11600-021-00616-3
16. Genetic algorithm for TEC seismo-ionospheric anomalies detection around the time of the Solomon (Mw=8.0) earthquake of 06 February 2013 M. Akhoondzadeh 10.1016/j.asr.2013.04.012
17. An Adaptive Network-based Fuzzy Inference System for the detection of thermal and TEC anomalies around the time of the Varzeghan, Iran, (Mw=6.4) earthquake of 11 August 2012 M. Akhoondzadeh 10.1016/j.asr.2013.05.024
18. Comparison of outliers and novelty detection to identify ionospheric TEC irregularities during geomagnetic storm and substorm A. Pattisahusiwa et al. 10.1088/1742-6596/739/1/012015
19. A review on remotely sensed land surface temperature anomaly as an earthquake precursor A. Bhardwaj et al. 10.1016/j.jag.2017.08.002
20. Support Vector Machine for Regional Ionospheric Delay Modeling Z. Zhang et al. 10.3390/s19132947