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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:

Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning
Mohammad Amir Nazari Siahsar, Saman Gholtashi, Vahid Abolghasemi, et al.
Signal Processing (2017) Vol. 141, pp. 309-321
Closed Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Deep denoising autoencoder for seismic random noise attenuation
Omar M. Saad, Yangkang Chen
Geophysics (2020) Vol. 85, Iss. 4, pp. V367-V376
Closed Access | Times Cited: 215
Automatic microseismic event picking via unsupervised machine learning
Yangkang Chen
Geophysical Journal International (2020) Vol. 222, Iss. 3, pp. 1750-1764
Open Access | Times Cited: 138
Data-driven multitask sparse dictionary learning for noise attenuation of 3D seismic data
Mohammad Amir Nazari Siahsar, Saman Gholtashi, Amin Roshandel Kahoo, et al.
Geophysics (2017) Vol. 82, Iss. 6, pp. V385-V396
Closed Access | Times Cited: 114
Automatic microseismic event picking via unsupervised machine learning
Yangkang Chen
Geophysical Journal International (2017) Vol. 212, Iss. 1, pp. 88-102
Closed Access | Times Cited: 114
EMD-seislet transform
Yangkang Chen, Sergey Fomel
Geophysics (2017) Vol. 83, Iss. 1, pp. A27-A32
Closed Access | Times Cited: 95
Seismic Signal Denoising and Decomposition Using Deep Neural Networks
Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 11, pp. 9476-9488
Open Access | Times Cited: 92
A fully unsupervised and highly generalized deep learning approach for random noise suppression
Omar M. Saad, Yangkang Chen
Geophysical Prospecting (2020) Vol. 69, Iss. 4, pp. 709-726
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
Self-Attention Deep Image Prior Network for Unsupervised 3-D Seismic Data Enhancement
Omar M. Saad, Yapo Abolé Serge Innocent Oboué, Min Bai, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 59
Hankel Low-Rank Approximation for Seismic Noise Attenuation
Chong Wang, Zhihui Zhu, Hanming Gu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 1, pp. 561-573
Closed Access | Times Cited: 72
Signal-Preserving Erratic Noise Attenuation via Iterative Robust Sparsity-Promoting Filter
Qiang Zhao, Qizhen Du, Xufei Gong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 56, Iss. 6, pp. 3547-3560
Open Access | Times Cited: 69
Hybrid-Sparsity Constrained Dictionary Learning for Iterative Deblending of Extremely Noisy Simultaneous-Source Data
Shaohuan Zu, Hui Zhou, Ru‐Shan Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 4, pp. 2249-2262
Closed Access | Times Cited: 69
Dictionary learning based on dip patch selection training for random noise attenuation
Shaohuan Zu, Hui Zhou, Ru‐Shan Wu, et al.
Geophysics (2019) Vol. 84, Iss. 3, pp. V169-V183
Closed Access | Times Cited: 65
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
Automatic noise attenuation based on clustering and empirical wavelet transform
Wei Chen, Hui Song
Journal of Applied Geophysics (2018) Vol. 159, pp. 649-665
Closed Access | Times Cited: 60
Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning
Mi Zhang, Yang Liu, Min Bai, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 12, pp. 9709-9723
Closed Access | Times Cited: 59
Low-frequency noise attenuation in seismic and microseismic data using mathematical morphological filtering
Weilin Huang, Runqiu Wang, Shaohuan Zu, et al.
Geophysical Journal International (2020) Vol. 222, Iss. 3, pp. 1728-1749
Closed Access | Times Cited: 58
Simultaneous Seismic Data Denoising and Reconstruction With Attention-Based Wavelet-Convolutional Neural Network
Vineela Chandra Dodda, Lakshmi Kuruguntla, Anup Kumar Mandpura, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 16
Applying machine learning to 3D seismic image denoising and enhancement
Enning Wang, Jeff Nealon
Interpretation (2019) Vol. 7, Iss. 3, pp. SE131-SE139
Closed Access | Times Cited: 53
Low-frequency noise attenuation in seismic and microseismic data using mathematical morphological filtering
Weilin Huang, Runqiu Wang, Shaohuan Zu, et al.
Geophysical Journal International (2017) Vol. 211, Iss. 3, pp. 1296-1318
Closed Access | Times Cited: 52
Unsupervised Deep Learning for Single-Channel Earthquake Data Denoising and Its Applications in Event Detection and Fully Automatic Location
Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-10
Closed Access | Times Cited: 25
Data and model dual-driven seismic deconvolution via error-constrained joint sparse representation
Yaojun Wang, Guiqian Zhang, Ting Chen, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. V345-V359
Closed Access | Times Cited: 15
Physically Driven Self-Supervised Learning and its Applications in Geophysical Inversion
Yang Yang, Zhuo Wang, Naihao Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 4
Permeability Prediction and Potential Site Assessment for CO2 Storage from Core Data and Well-Log Data in Malay Basin Using Advanced Machine Learning Algorithms
Md. Yeasin Arafath, AKM Eahsanul Haque, Numair Ahmed Siddiqui, et al.
ACS Omega (2025) Vol. 10, Iss. 6, pp. 5430-5448
Open Access
Incoherent dictionary learning for reducing crosstalk noise in least-squares reverse time migration
Juan Wu, Min Bai
Computers & Geosciences (2018) Vol. 114, pp. 11-21
Closed Access | Times Cited: 45
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