20 citations as recorded by crossref.

1. Earthquake prediction using satellite data: Advances and ahead challenges M. Akhoondzadeh https://doi.org/10.1016/j.asr.2024.06.054
2. Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide E. Pavlidou et al. https://doi.org/10.3390/rs11010061
3. Pre-Seismic Anomaly Detection from Multichannel Infrared Images of FY-4A Satellite Y. Yue et al. https://doi.org/10.3390/rs15010259
4. Multi-satellite based possible precursory signals detection linked to the 2024 Mw 7.5 Noto Peninsula Japan earthquake R. Shahzad et al. https://doi.org/10.1016/j.asr.2025.04.015
5. Coarse-graining research of the thermal infrared anomalies before earthquakes in the Sichuan area on Google Earth engine P. Wu et al. https://doi.org/10.3389/feart.2023.1101165
6. Revealing Spatiotemporal Characteristics of Global Seismic Thermal Anomalies: Framework Based on Annual Energy Balance and Geospatial Constraints P. Yang et al. https://doi.org/10.3390/rs18020290
7. Geothermal Anomaly Mapping Using Landsat ETM+ Data in Ilan Plain, Northeastern Taiwan H. Chan et al. https://doi.org/10.1007/s00024-017-1690-z
8. Unusual Surface Latent Heat Flux Variations and Their Critical Dynamics Revealed before Strong Earthquakes S. Ghosh et al. https://doi.org/10.3390/e24010023
9. Feasibility study of thermal anomaly detection for earthquake: A case study from 2014 Mae Lao earthquake, Thailand P. Wongpornchai & C. Suwanprasit https://doi.org/10.1088/1755-1315/538/1/012034
10. Machine learning-based thermal anomalies detection from MODIS LST associated with the Mw 7.7 Awaran, Pakistan earthquake A. Hafeez et al. https://doi.org/10.1007/s11069-021-05131-8
11. Statistical and Comparative Analysis of Multi-Channel Infrared Anomalies before Earthquakes in China and the Surrounding Area Y. Yue et al. https://doi.org/10.3390/app12167958
12. Effects of extreme phases of El Niño–Southern Oscillation on rainfall extremes in Alagoas, Brazil J. de Sousa Santos et al. https://doi.org/10.1002/joc.8288
13. Detecting geothermal anomalies using Landsat 8 thermal infrared remotely sensed data A. Gemitzi et al. https://doi.org/10.1016/j.jag.2020.102283
14. Response Characteristics of FY-3E Outgoing Longwave Radiation to Impending Earthquakes Based on the ATSCTF Algorithm: A Case Study of the 2023 Türkiye Double Earthquakes J. Cui et al. https://doi.org/10.1109/JSTARS.2024.3454693
15. Remotely sensed atmospheric anomalies of the 2022 Mw 7.0 Bantay, Philippines earthquake S. Khan et al. https://doi.org/10.1016/j.asr.2024.12.013
16. Thermal Anomalies Detection Using Comparative Method for Small Earthquake P. Wongpornchai et al. https://doi.org/10.1051/matecconf/201818601008
17. RST Analysis of Anomalous TIR Sequences in Relation with Earthquakes Occurred in Turkey in the Period 2004–2015 C. Filizzola et al. https://doi.org/10.3390/rs14020381
18. Statistical Correlation Analysis Between Thermal Infrared Anomalies Observed From MTSATs and Large Earthquakes Occurred in Japan (2005–2015) N. Genzano et al. https://doi.org/10.1029/2020JB020108
19. Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake M. Qasim et al. https://doi.org/10.1016/j.asr.2023.09.057
20. Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels M. Hayakawa & Y. Hobara https://doi.org/10.3390/atmos15081015