14 citations as recorded by crossref.

1. STOCHASTIC VARIABILITY IN X-RAY EMISSION FROM THE BLACK HOLE BINARY GRS 1915+105 Y. Polyakov et al. https://doi.org/10.1088/0004-6256/143/6/148
2. Earthquake prediction: Is it a practicable scientific perspective or a challenge to science? N. Koronovsky & A. Naimark https://doi.org/10.3103/S0145875209010025
3. Flicker noise spectroscopy and its application: Information hidden in chaotic signals (review) S. Timashev https://doi.org/10.1134/S102319350605003X
4. Intelligent Seismic-Acoustic System for Identifying the Location of the Areas of an Expected Earthquake T. Aliev et al. https://doi.org/10.4236/gep.2016.44018
5. Avalanches on the complex network of Rigan earthquake M. Najafi et al. https://doi.org/10.1209/0295-5075/130/20001
6. Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression G. Jing et al. https://doi.org/10.3390/signals5010006
7. Phenomenology of complexity: Information in chaotic signals S. Timashev https://doi.org/10.1134/S1070363211010397
8. Changes in the Specific Electrical Resistivity of Rocks at Different Depths of the Geoelectric Section and Their Comparison with Seismicity A. Bobachev et al. https://doi.org/10.1134/S0001433822130114
9. Seasonal Periodicity and noise Discrimination of Microearthquakes at the Garm Test Area A. Deshcherevskii et al. https://doi.org/10.3103/S0747923921050029
10. Study of Coal and Magnetite Collapse Process and Precursor Based on Acoustic Emission Flicker Noise Spectroscopy G. Jing et al. https://doi.org/10.1007/s00603-024-03989-1
11. REVIEW OF FLICKER NOISE SPECTROSCOPY IN ELECTROCHEMISTRY S. TIMASHEV & Y. POLYAKOV https://doi.org/10.1142/S0219477507003829
12. Sensitivity, quantum limits, and quantum enhancement of noise spectroscopies V. Lucivero et al. https://doi.org/10.1103/PhysRevA.95.041803
13. Analysis of EEG signal by flicker-noise spectroscopy: identification of right-/left-hand movement imagination A. Broniec https://doi.org/10.1007/s11517-016-1491-z
14. Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas L. Telesca et al. https://doi.org/10.1016/j.pce.2003.09.017