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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:

Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic
Xintong Dong, Yushi Li, Banghua Yang
Geophysical Journal International (2019) Vol. 219, Iss. 2, pp. 1281-1299
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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
Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder
Liuqing Yang, Shoudong Wang, Xiaohong Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Closed Access | Times Cited: 74
Seismic Shot Gather Denoising by Using a Supervised-Deep-Learning Method with Weak Dependence on Real Noise Data: A Solution to the Lack of Real Noise Data
Xintong Dong, Jun Lin, Shaoping Lu, et al.
Surveys in Geophysics (2022) Vol. 43, Iss. 5, pp. 1363-1394
Closed Access | Times Cited: 60
Multiscale Spatial Attention Network for Seismic Data Denoising
Xintong Dong, Jun Lin, Shaoping Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 40
Meta-Processing: A robust framework for multi-tasks seismic processing
Shijun Cheng, Randy Harsuko, Tariq Alkhalifah
Surveys in Geophysics (2024) Vol. 45, Iss. 4, pp. 1081-1116
Closed Access | Times Cited: 10
Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit
Guang Li, Xianjie Gu, Chaojian Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 8
Random Noise Attenuation Based on Residual Convolutional Neural Network in Seismic Datasets
Liuqing Yang, Wei Chen, Wei Liu, et al.
IEEE Access (2020) Vol. 8, pp. 30271-30286
Open Access | Times Cited: 62
Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation
Chenyu Qiu, Bangyu Wu, Naihao Liu, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 52
Denoising Deep Learning Network Based on Singular Spectrum Analysis—DAS Seismic Data Denoising With Multichannel SVDDCNN
Qiankun Feng, Yue Li
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Closed Access | Times Cited: 52
Learning From Noisy Data: An Unsupervised Random Denoising Method for Seismic Data Using Model-Based Deep Learning
Feng Wang, Bo Yang, Yuqing Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 28
New Suppression Technology for Low-Frequency Noise in Desert Region: The Improved Robust Principal Component Analysis Based on Prediction of Neural Network
Xintong Dong, Tie Zhong, Yue Li
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 7, pp. 4680-4690
Closed Access | Times Cited: 49
Generative Adversarial Network for Desert Seismic Data Denoising
Hongzhou Wang, Yue Li, Xintong Dong
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 8, pp. 7062-7075
Closed Access | Times Cited: 44
The Denoising of Desert Seismic Data Based on Cycle-GAN With Unpaired Data Training
Yue Li, Hongzhou Wang, Xintong Dong
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 11, pp. 2016-2020
Open Access | Times Cited: 41
Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network
Tie Zhong, Ming Cheng, Xintong Dong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-13
Closed Access | Times Cited: 32
Multitype Geomagnetic Noise Removal via an Improved U-Net Deep Learning Network
Guang Li, Xiaohui Zhou, Chaojian Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Closed Access | Times Cited: 13
Seismic Random Noise Suppression Based on Deep Image Prior and Total Variation
Xingye Liu, Fen Lyu, Li Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 4
MFIEN: multi-scale feature interactive enhancement network for seismic data denoising in desert areas
Tie Zhong, Yuxin Ye
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Wavelet-enhanced TEM1Dformer denoising network to reduce noise in TEM signals
Tingye Qi, Dawei Pan, Guorui Feng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110136-110136
Closed Access
Random and Coherent Noise Suppression in DAS-VSP Data by Using a Supervised Deep Learning Method
Xintong Dong, Yue Li, Tie Zhong, et al.
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 19, pp. 1-5
Closed Access | Times Cited: 35
Self-Supervised Learning for Seismic Data Reconstruction and Denoising
Fanlei Meng, Qinyin Fan, Yue Li
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 25
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoising Based on Multistage Denoising Network
Yue Li, Man Zhang, Yuxing Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 17
A Deep-Learning-Based Denoising Method for Multiarea Surface Seismic Data
Xintong Dong, Tie Zhong, Yue Li
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 5, pp. 925-929
Closed Access | Times Cited: 26
An attention‐guided convolution neural network for denoising of distributed acoustic sensing–vertical seismic profile data
Yue Li, Yipan Zhang, Xintong Dong, et al.
Geophysical Prospecting (2023) Vol. 71, Iss. 6, pp. 914-930
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
Random Noise Attenuation of Seismic Data via Self-Supervised Bayesian Deep Learning
Zengqiang Qiao, Dehua Wang, Lili Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 7
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