15 citations as recorded by crossref.

1. The Deep Structure of the Kimberlite Pipe Volchya in the Arkhangelsk Diamond Province and Controlling Faults Based on Passive Seismic and Radiological Methods (Northwest Russia) K. Danilov et al. https://doi.org/10.3390/app15020657
2. Passive Seismic Investigation of Intraplate Earthquakes Epicentral Zones in the North of Russia as One of the Ways to Understand Their Source Mechanics K. Danilov et al. https://doi.org/10.1007/s12583-024-0053-9
3. Near-surface structure of the Sodankylä area in Finland, obtained by passive seismic interferometry N. Afonin et al. https://doi.org/10.5194/se-12-1563-2021
4. Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network M. Mężyk et al. https://doi.org/10.3390/rs13030389
5. Application of multichannel analysis of passive surface waves method for fault investigation L. Ning et al. https://doi.org/10.1016/j.jappgeo.2021.104382
6. High-Frequency Surface-Wave Imaging from Traffic-Induced Noise by Selecting In-line Sources L. Ning et al. https://doi.org/10.1007/s10712-022-09723-2
7. Enhancing body waves in passive seismic reflection exploration: A case study in Inner Mongolia, China J. Fang et al. https://doi.org/10.1190/INT-2021-0113.1
8. Ultra-Short Time Imaging of Urban Underground Structures Using Vehicle Noise Coda Waves L. Hao et al. https://doi.org/10.1109/TGRS.2024.3484753
9. Improving the retrieval of high-frequency surface waves from ambient noise through multichannel-coherency-weighted stack Y. Liu et al. https://doi.org/10.1093/gji/ggab253
10. Application of passive seismic interferometry for mapping mining waste storage facilities: A case study of Pyhäsalmi mine in Finland N. Afonin et al. https://doi.org/10.1016/j.jappgeo.2022.104669
11. Imaging urban near-surface structure with passive surface waves method: A case study in Guangzhou, southern China K. Zheng et al. https://doi.org/10.1016/j.jappgeo.2023.105089
12. Application of a Fractional Laplacian-Based Adaptive Progressive Denoising Method to Improve Ambient Noise Crosscorrelation Functions K. Yu et al. https://doi.org/10.3390/fractalfract9120802
13. Enhanced Empirical Green’s Function Reconstruction Using Adaptive Stacking Strategy for Seismic Interferometry Z. Li et al. https://doi.org/10.1109/TGRS.2026.3667410
14. Suppression of Transients From Continuous Seismic Records Without Modifying the Amplitude of Ambient Noise P. Gupta & S. Mukhopadhyay https://doi.org/10.1109/JSEN.2023.3328142
15. Improving cross-correlations of ambient noise using an rms-ratio selection stacking method J. Xie et al. https://doi.org/10.1093/gji/ggaa232