- Sergey Pulinets, Dimitar Ouzounov, Alexander Karelin, Kyrill Boyarchuk, Earthquake Precursors in the Atmosphere and Ionosphere, 2022, 61
- Soujan Ghosh, Sudipta Sasmal, Subrata Kumar Midya, Sandip K. Chakrabarti, “Unusual Change in Critical Frequency of F<sub>2</sub> Layer during and Prior to Earthquakes”, OJER, 06, № 04, 2017, 191
- Irfan Mahmood, Muhammad Farooq Iqbal, Muhammad Imran Shahzad, “Precursor anomalies prior to the 2006 Java and 2016 Yujing earthquakes”, J. Geophys. Eng., 15, № 4, 2018, 1506
- Maria Zoran, Roxana Savastru, Dan Savastru, “Earthquake anomalies recognition through satellite and in-situ monitoring data”, European Journal of Remote Sensing, 49, № 1, 2016, 1011
- A. V. Shitov, S. A. Pulinets, P. A. Budnikov, “Effect of Earthquake Preparation on Changes
in Meteorological Characteristics
(Based on the Example of the 2003 Chuya Earthquake)”, Geomagnetizm i aèronomiâ, 63, № 4, 2023, 441
- S. Zheng, C. X. Cao, H. Zhang, M. X. Gao, M. Xu, J. Zhao, W. Chen, X. W. Li, “Assessment of the degree of building damage caused by the 2010 Yushu, China earthquake using satellite and airborne data”, Geomatics, Natural Hazards and Risk, 2, № 2, 2011, 141
- Lu Zhang, Meng Jiang, Feng Jing, “Sea temperature variation associated with the 2021 Haiti Mw 7.2 earthquake and possible mechanism”, Geomatics, Natural Hazards and Risk, 13, № 1, 2022, 2840
- Xitong Xu, Shengbo Chen, Yan Yu, Sen Zhang, “Atmospheric Anomaly Analysis Related to Ms > 6.0 Earthquakes in China during 2020–2021”, Remote Sensing, 13, № 20, 2021, 4052
- Amna Hafeez, Munawar Shah, Muhsan Ehsan, Punyawi Jamjareegulgarn, Junaid Ahmed, M. Arslan Tariq, Shahid Iqbal, Najam Abbas Naqvi, “Possible Atmosphere and Ionospheric Anomalies of the 2019 Pakistan Earthquake Using Statistical and Machine Learning Procedures on MODIS LST, GPS TEC, and GIM TEC”, IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 14, 2021, 11126
- B. S. Gera, N. Gera, H. N. Dutta, “Unique atmospheric wave: precursor to the 26 January 2001 Bhuj, India, earthquake”, International Journal of Remote Sensing, 32, № 23, 2011, 8881