55 citations as recorded by crossref.

1. Computer Analysis of Total Electron Content in the Earth’s Ionosphere in Problems of Searching for and Detection of Earthquake Precursors: Current Problems and Challenges O. Zolotov et al.
2. Ionospheric anomalies possibly associated with M⩾ 6.0 earthquakes in the Japan area during 1998–2010: Case studies and statistical study S. Kon et al.
3. Identification of ionospheric earthquake precursors in Kamchatka region based on correlation analysis . Богданов & . Павлов
4. Unique atmospheric wave: precursor to the 26 January 2001 Bhuj, India, earthquake B. Gera et al.
5. Seismoionospheric effects in the F2 layer over Kamchatka T. Gaivoronskaya
6. Sequential evolution of ionospheric TEC anomalies and acoustic-gravity wave precursors associated with the February 8, 2025, Mw 7.6 Cayman Islands earthquake K. Nayak et al.
7. Changes observed in land surface and air temperature after the Yushu (China) (6.9 Mw) and Kaikoura (New Zealand) (7.8 Mw) earthquakes using Landsat thermal and geophysical datasets B. Nath et al.
8. Classification of the Ionospheric Disturbances Caused by Geomagnetic and Seismic Activity with K-Nearest Neighbors Algorithm C. Budak et al.
9. Contrastive research of ionospheric precursor anomalies between Calbuco volcanic eruption on April 23 and Nepal earthquake on April 25, 2015 W. Li et al.
10. Anomalous phenomena in Schumann resonance band observed in China before the 2011 magnitude 9.0 Tohoku‐Oki earthquake in Japan H. Zhou et al.
11. SHARED RESEARCH FACILITIES "SOLAR-TERRESTRIAL PHYSICS AND CONTROL OF NEAR-EARTH SPACE" ("THE ANGARA") AS APPLIED FOR GEODYNAMICS AND TECTONOPHYSICS Y. Yasyukevich & A. Vesnin
12. Investigating radon and TEC anomalies relative to earthquakes via AI models A. Muhammad et al.
13. A Machine Learning‐Based Detection of Earthquake Precursors Using Ionospheric Data A. Akyol et al.
14. A qualitative study of seismic-ionospheric precursor phenomena monitored by a very close to the epicenter VLF and LF receiver C. Skeberis et al.
15. Two-stage modeling of ionospheric TEC for earthquake precursors: forecasting with LSTM, GRU, RNN and classification via Random Forest based on the 2023 Türkiye earthquakes C. Budak
16. Elazığ-Sivrice Depremi’nin (24 Ocak 2020) Öncül Belirtileri S. GÜRBÜZ & Y. KUTLU
17. Monitoring Earth using SDR Earth Imager R. Sharif et al.
18. Ionospheric perturbations over Delhi caused by the 26 December 2004 Sumatra earthquake H. Dutta et al.
19. Atmosphere-ionosphere response to the M9 Tohoku earthquake revealed by multi-instrument space-borne and ground observations: Preliminary results D. Ouzounov et al.
20. Unbiased total electron content (UTEC), their fluctuations, and correlation with seismic activity over Japan P. Cornely & J. Hughes
21. Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data S. Pulinets et al.
22. Vertical TEC over seismically active region during low solar activity E. Astafyeva & K. Heki
23. Physical models of coupling in the lithosphere-atmosphere-ionosphere system before earthquakes V. Liperovsky et al.
24. Method for Cognitive Identification of Ionospheric Precursors of Earthquakes S. Pulinets et al.
25. The Study on Anomalies of the Geomagnetic Topology Network Associated with the 2022 Ms6.8 Luding Earthquake Z. Yu et al.
26. On the detection of anomalous seismo-ionospheric behavior in the presence of space weather stimuli for large earthquakes B. Lim & E. Leong
27. Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere N. Zulhamidi et al.
28. Investigation of ionospheric electron content variations before earthquakes in southern California, 2003–2004 T. Dautermann et al.
29. TEC anomalies—Local TEC changes prior to earthquakes or TEC response to solar and geomagnetic activity changes? E. Afraimovich & E. Astafyeva
30. Time–frequency analysis of VLF for seismic-ionospheric precursor detection: Evaluation of Zhao-Atlas-Marks and Hilbert-Huang Transforms C. Skeberis et al.
31. Monitoring of the ionosphere TEC variations during the 17th August 1999 Izmit earthquake using GPS data U. Dogan et al.
32. Ionosphere Sounding for Pre-seismic Anomalies Identification (INSPIRE): Results of the Project and Perspectives for the Short-Term Earthquake Forecast S. Pulinets et al.
33. Study of Ionospheric Perturbations during Strong Seismic Activity by Correlation Analysis Method A. Gwal et al.
34. Ionospheric activity and possible connection with seismicity: Contribution from the analysis of long time series of GNSS signals F. Mancini et al.
35. From Hector Mine M7.1 to Ridgecrest M7.1 Earthquake. A Look from a 20-Year Perspective S. Pulinets et al.
36. Advances of Satellite Remote Sensing Technology in Earthquake Prediction X. Zhao et al.
37. GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework P. Xiong et al.
38. Electric and magnetic field perturbations recorded by DEMETER satellite before seismic events of the 17th July 2006 M 7.7 earthquake in Indonesia S. Bhattacharya et al.
39. Statistical Analysis of Ionospheric TEC Anomalies Prior to Ms ≥ 6.0 Earthquakes in Mainland China During 2012–2022 L. Dong et al.
40. The cross correlation method response prior to earthquakes using foF2 data from various ionospheric stations K. Benghanem et al.
41. Investigation of the relationship between ionospheric foF2 and earthquakes T. Karaboga et al.
42. Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements S. Karatay et al.
43. Taiwan’ Chi-Chi earthquake precursor detection using nonlinear principal component analysis to multi-channel total electron content records J. Lin
44. Multiparameter monitoring of short-term earthquake precursors and its physical basis. Implementation in the Kamchatka region S. Pulinets et al.
45. Earthquake forecasting: a possible solution considering the GPS ionospheric delay M. De Agostino & M. Piras
46. Seismo-ionospheric disturbance using principal component analysis — A study of Japan’s Iwate-Miyagi Nairiku earthquake on 13 June 2008 J. Lin
47. Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis J. Lin
48. Is it possible to trace an impending earthquake's occurrence from seismo-ionospheric disturbance using principal component analysis? A study of Japan's Iwate–Miyagi Nairiku earthquake on 13 June 2008 J. Lin
49. Precursory Phenomena Possibly Related to the 2011M9.0 Off the Pacific Coast of Tohoku Earthquake T. Nagao et al.
50. Ionospheric total electron content anomaly possibly associated with the April 4, 2010 Mw7.2 Baja California earthquake J. Liu et al.
51. Ultra-low-frequency (ULF) and total electron content (TEC) anomalies observed at Agra and their association with regional earthquakes V. Chauhan et al.
52. Special case of ionospheric day-to-day variability associated with earthquake preparation S. Pulinets et al.
53. Preliminary investigation of real‐time mapping of foF2 in northern China based on oblique ionosonde data C. Zhou et al.
54. A Comparative Study on Multi-Parameter Ionospheric Disturbances Associated with the 2015 Mw 7.5 and 2023 Mw 6.3 Earthquakes in Afghanistan R. Rasheed et al.
55. Investigation of total electron content variability due to seismic and geomagnetic disturbances in the ionosphere S. Karatay et al.