59 citations to 10.5194/angeo-22-4123-2004 (Crossref Cited-By Service)
  1. Friedemann Freund, “Pre-earthquake signals: Underlying physical processes”, Journal of Asian Earth Sciences, 41, no. 4-5, 2011, 383  crossref
  2. Param K. Gautam, Vishal Chauhan, Rajesh Sathyaseelan, Naresh Kumar, John P. Pappachen, “Co-seismic ionospheric GPS-TEC disturbances from different source characteristic earthquakes in the Himalaya and the adjoining regions”, NRIAG Journal of Astronomy and Geophysics, 7, no. 2, 2018, 237  crossref
  3. Suman Chakraborty, Sudipta Sasmal, Tamal Basak, Soujan Ghosh, Sourav Palit, Sandip K. Chakrabarti, Suman Ray, “Numerical modeling of possible lower ionospheric anomalies associated with Nepal earthquake in May, 2015”, Advances in Space Research, 60, no. 8, 2017, 1787  crossref
  4. 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, no. 1, 2022, 2840  crossref
  5. Ramesh P. Singh, J. Senthil Kumar, Jacques Zlotnicki, Menas Kafatos, “Satellite detection of carbon monoxide emission prior to the Gujarat earthquake of 26 January 2001”, Applied Geochemistry, 25, no. 4, 2010, 580  crossref
  6. 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, no. 23, 2011, 8881  crossref
  7. K. Benghanem, S. Kahlouche, A. Abtout, H. Beldjoudi, “The cross correlation method response prior to earthquakes using foF2 data from various ionospheric stations”, Advances in Space Research, 63, no. 8, 2019, 2638  crossref
  8. Zhao Ying, An Jiachun, “Temporal distribution characteristics of GNSS ionospheric occultation data and its effects in earthquake-ionosphere anomaly detection”, Geodesy and Geodynamics, 4, no. 4, 2013, 33  crossref
  9. Yiqun Zhang, Kaiguang Zhu, Dedalo Marchetti, Donghua Zhang, Mengxuan Fan, Ting Wang, Hanshuo Zhang, Wenqi Chen, Baiyi Yang, Yuqi Cheng, “Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach”, IEEE Trans. Geosci. Remote Sensing, 62, 2024, 1  crossref
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