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 the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance
Xintong Dong, Yue Li
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 12, pp. 10544-10554
Closed Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

Eliminating the Fading Noise in Distributed Acoustic Sensing Data
Xiangge He, Zhi Cao, Peng Ji, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-10
Closed Access | Times Cited: 9

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

A Novel Iterative PA-MRNet: Multiple Noise Suppression and Weak Signals Recovery for Downhole DAS Data
Yanan Tian, Jilei Sui, Yue Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 15

Complete perception self-attention network for weak seismic signal recovery in distributed acoustic sensing vertical seismic profile data
Jilei Sui, Yanan Tian, Yue Li, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. WC107-WC119
Closed Access | Times Cited: 8

Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising
Zitai Xu, Yisi Luo, Bangyu Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 8

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

Deblending of Seismic Data Based on Neural Network Trained in the CSG
Kunxi Wang, Tianyue Hu
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 18

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

Unsupervised Seismic Random Noise Suppression Based on Local Similarity and Replacement Strategy
Jian Gao, Zhenchun Li, Min Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 48924-48934
Open Access | Times Cited: 7

2D-SenseNet: A Simultaneous Demodulation and Denoising Network for DAS
Yongxin Liang, Shibo Zhang, Jialei Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
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

Mutual-Guided Scale-Aggregation Denoising Network for Seismic Noise Attenuation
Tie Zhong, Zheng Cong, Xunqian Tong, et al.
Computers & Geosciences (2024) Vol. 191, pp. 105682-105682
Closed Access | Times Cited: 2

An effective self-supervised learning method for attenuating various types of seismic noise
Shijun Cheng, Zhiyao Cheng, Chao Jiang, et al.
Geophysics (2024) Vol. 89, Iss. 6, pp. V589-V604
Closed Access | Times Cited: 2

Data augmentation and its application in distributed acoustic sensing data denoising
Yi Zhao, Y. Li, Ning Wu
Geophysical Journal International (2021) Vol. 228, Iss. 1, pp. 119-133
Closed Access | Times Cited: 17

Unsupervised Anomaly Detection Applied to Φ-OTDR
Antonio Almudévar, Pascual Sevillano, Luis Vicente, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6515-6515
Open Access | Times Cited: 11

An Unsupervised Learning Method to Suppress Seismic Internal Multiples Based on Adaptive Virtual Events and Joint Constraints of Multiple Deep Neural Networks
Kunxi Wang, Tianyue Hu, Bangliu Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 6

Seismic random noise suppression by using MSRD-GAN
Yanchun Li, Suling Wang, Minzheng Jiang, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211410-211410
Open Access | Times Cited: 6

Deep Learning with Adaptive Attention for Seismic Velocity Inversion
Fangda Li, Zhenwei Guo, Xinpeng Pan, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3810-3810
Open Access | Times Cited: 10

Ensemble empirical mode decomposition and stacking model for filtering borehole distributed acoustic sensing records
Yi Zhao, Zhicheng Zhong, Yue Li, et al.
Geophysics (2022) Vol. 88, Iss. 1, pp. WA319-WA334
Closed Access | Times Cited: 8

MA_W-Net-Based Dual-Output Method for Microseismic Localization in Strong Noise Environments
Qiang Li, Fengjiao Zhang, Liguo Han
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5668-5668
Open Access | Times Cited: 1

Noise suppression of distributed fiber-optical acoustic sensing seismic data by attention-guided multiscale generative adversarial network
Ning Wu, Yuying Wang, Yue Li
Geophysics (2023) Vol. 88, Iss. 3, pp. D227-D239
Closed Access | Times Cited: 4

Fully Connected U-Net and Its Application on Reconstructing Successively Sampled Seismic Data
Shengjun Li, Jianhu Gao, Jinyong Gui, et al.
IEEE Access (2023) Vol. 11, pp. 99693-99704
Open Access | Times Cited: 4

Seismic Random Noise Suppression Model Based on Downsampling and Superresolution
Ziyi Fang, Hongbo Lin, F. Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 4

A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data
Haitao Ma, J. Yu, Yibo Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 4

Can deep learning compensate for sparse shots in the imaging domain? A potential alternative for reducing the acquisition cost of seismic data
Xintong Dong, Shaoping Lu, Jun Lin, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. V119-V137
Closed Access | Times Cited: 4

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