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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Denoising of Distributed Acoustic Sensing Seismic Data Using an Integrated Framework
Yangkang Chen, Alexandros Savvaidis, Sergey Fomel, et al.
Seismological Research Letters (2022) Vol. 94, Iss. 1, pp. 457-472
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Denoising Offshore Distributed Acoustic Sensing Using Masked Auto‐Encoders to Enhance Earthquake Detection
Qibin Shi, Marine Denolle, Yiyu Ni, et al.
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 2
Open Access | Times Cited: 1
DAS-N2N: machine learning distributed acoustic sensing (DAS) signal denoising without clean data
Sacha Lapins, Antony Butcher, J. M. Kendall, et al.
Geophysical Journal International (2023) Vol. 236, Iss. 2, pp. 1026-1041
Open Access | Times Cited: 17
Detecting local earthquakes via fiber-optic cables in telecommunication conduits under Stanford University campus using deep learning
Fantine Huot, Robert G. Clapp, Biondo Biondi
Computers & Geosciences (2024) Vol. 190, pp. 105625-105625
Open Access | Times Cited: 5
Common-mode noise separation in distributed acoustic sensing vertical seismic profile data: A self-supervised deep learning approach with enhanced blind network
Young‐Ik Son, Byoungjoon Yoon, Ki-Taek Hong, et al.
Journal of Applied Geophysics (2025), pp. 105634-105634
Closed Access
Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior
Yang Cui, Umair bin Waheed, Yangkang Chen
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-14
Closed Access
Optimization of Spatial Resolution for Improving Distributed Optical Fiber Vibration Sensing Performance in Dam Dynamic Structural Analysis
Zheng Fang, Zhiping Wen, Yu Jiong Gu, et al.
(2025)
Closed Access
Denoising distributed acoustic sensing data using unsupervised deep learning
Liuqing Yang, Sergey Fomel, Shoudong Wang, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. V317-V332
Closed Access | Times Cited: 11
Analysis of DAS seismic noise generation and elimination process based on Mean-SDE diffusion model
Qiankun Feng, Shigang Wang, Yue Li
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 4
SLKNet: An attention-based deep-learning framework for downhole distributed acoustic sensing data denoising
Liuqing Yang, Sergey Fomel, Shoudong Wang, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. WC69-WC89
Closed Access | Times Cited: 9
An advanced median filter for improving the signal-to-noise ratio of seismological datasets
Yapo Abolé Serge Innocent Oboué, Yunfeng Chen, Sergey Fomel, et al.
Computers & Geosciences (2023) Vol. 182, pp. 105464-105464
Closed Access | Times Cited: 8
Enhancing earthquake detection from distributed acoustic sensing data by coherency measure and moving-rank-reduction filtering
Yangkang Chen, Alexandros Savvaidis, Yunfeng Chen, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. WC13-WC23
Closed Access | Times Cited: 7
SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing
Yangkang Chen
Seismological Research Letters (2024) Vol. 95, Iss. 3, pp. 1976-1985
Closed Access | Times Cited: 2
Ground-truth-free deep learning for 3D seismic denoising and reconstruction with channel attention mechanism
Yang Cui, Juan Wu, Min Bai, et al.
Geophysics (2024) Vol. 89, Iss. 6, pp. V503-V520
Closed Access | Times Cited: 2
Noise Attenuation in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
Omar M. Saad, Matteo Ravasi, Tariq Alkhalifah
Geophysics (2024) Vol. 89, Iss. 6, pp. V573-V587
Open Access | Times Cited: 2
Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable
Chih‐Chieh Chien, William F. Jenkins, Peter Gerstoft, et al.
Computers and Geotechnics (2023) Vol. 155, pp. 105223-105223
Open Access | Times Cited: 5
Improved Observations of Deep Earthquake Ruptures Using Machine Learning
Qibin Shi, Marine Denolle
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 12
Closed Access | Times Cited: 5
SelfMixed: Self-supervised mixed noise attenuation for distributed acoustic sensing data
Zitai Xu, Bangyu Wu, Yisi Luo, et al.
Geophysics (2024) Vol. 89, Iss. 5, pp. V415-V436
Closed Access | Times Cited: 1
Multiple noise reduction for distributed acoustic sensing data processing through densely connected residual convolutional networks
Tianye Huang, Aopeng Li, Desheng Li, et al.
Journal of Applied Geophysics (2024) Vol. 228, pp. 105464-105464
Open Access | Times Cited: 1
Denoising Offshore Distributed Acoustic Sensing Using Masked Auto-encoders to Enhance Earthquake Detection
Qibin Shi, Marine Denolle, Yiyu Ni, et al.
Authorea (Authorea) (2024)
Open Access | Times Cited: 1
Unsupervised Coherent Noise Removal From Seismological Distributed Acoustic Sensing Data
Sebastian Konietzny, Voon Hui Lai, Meghan S. Miller, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 4
Open Access | Times Cited: 1
Three-dimensional distributed acoustic sensing at the Sanford Underground Research Facility
Erin Cunningham, N. E. Lord, Dante Fratta, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. WC209-WC220
Closed Access | Times Cited: 2
Protecting the weak signals in distributed acoustic sensing data processing using local orthogonalization: The FORGE data example
Yapo Abolé Serge Innocent Oboué, Yunfeng Chen, Sergey Fomel, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. V103-V118
Closed Access | Times Cited: 2
Efficient signal-to-noise ratio enhancement model for severely contaminated distributed acoustic sensing seismic data based on heterogeneous knowledge distillation
Qiankun Feng, Shignag Wang, Yue Li
Geophysics (2024) Vol. 89, Iss. 3, pp. V197-V208
Closed Access
Quality Control of DAS VSP Data in Desert Environment Using Simulations and Matching Filters
Nour Alzamil, Vladimir Kazei, Hua‐Wei Zhou, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1075-1075
Open Access
The Improved Intrinsic Time-Scale Analysis for Multidimensional Signal-to-Noise Feature Separation of Borehole Seismic Data
Zhicheng Zhong, Yi Zhao, Yue Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access
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