OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep learning for Seismic Lithology Prediction
Guoyin Zhang, Zhizhang Wang, Yangkang Chen
Geophysical Journal International (2018)
Closed Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Convolutional neural network for seismic impedance inversion
Vishal Das, Ahinoam Pollack, Uri Wollner, et al.
Geophysics (2019) Vol. 84, Iss. 6, pp. R869-R880
Closed Access | Times Cited: 349

Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
Geophysical Journal International (2019) Vol. 218, Iss. 2, pp. 817-832
Open Access | Times Cited: 217

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

Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders
S. Mostafa Mousavi, Weiqiang Zhu, William L. Ellsworth, et al.
IEEE Geoscience and Remote Sensing Letters (2019) Vol. 16, Iss. 11, pp. 1693-1697
Closed Access | Times Cited: 160

Deep learning reservoir porosity prediction based on multilayer long short-term memory network
Wei Chen, Liuqing Yang, Bei Zha, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. WA213-WA225
Closed Access | Times Cited: 107

Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network
Yangkang Chen, Guoyin Zhang, Min Bai, et al.
Earth and Space Science (2019) Vol. 6, Iss. 7, pp. 1244-1261
Open Access | Times Cited: 102

ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps
Fangyu Li, Huailai Zhou, Zengyan Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 2, pp. 1733-1744
Closed Access | Times Cited: 95

A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification
Kaibo Zhou, Jianyu Zhang, Yusong Ren, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. WA147-WA158
Closed Access | Times Cited: 91

Can learning from natural image denoising be used for seismic data interpolation?
Hao Zhang, Xiuyan Yang, Jianwei Ma
Geophysics (2020) Vol. 85, Iss. 4, pp. WA115-WA136
Open Access | Times Cited: 91

Improving the Signal‐to‐Noise Ratio of Seismological Datasets by Unsupervised Machine Learning
Yangkang Chen, Mi Zhang, Min Bai, et al.
Seismological Research Letters (2019)
Closed Access | Times Cited: 90

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

Deep-learning seismic full-waveform inversion for realistic structural models
Bin Liu, Senlin Yang, Yuxiao Ren, et al.
Geophysics (2020) Vol. 86, Iss. 1, pp. R31-R44
Closed Access | Times Cited: 80

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

Facies Identification Based on Multikernel Relevance Vector Machine
Xingye Liu, Xiaohong Chen, Jingye Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 10, pp. 7269-7282
Closed Access | Times Cited: 76

Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network
Liuqing Yang, Wei Chen, Hang Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 9, pp. 7968-7981
Closed Access | Times Cited: 62

Robust deep learning seismic inversion witha prioriinitial model constraint
Jian Zhang, Jingye Li, Xiaohong Chen, et al.
Geophysical Journal International (2021) Vol. 225, Iss. 3, pp. 2001-2019
Closed Access | Times Cited: 56

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

Applications of deep neural networks in exploration seismology: A technical survey
S. Mostafa Mousavi, Gregory C. Beroza, Tapan Mukerji, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. WA95-WA115
Closed Access | Times Cited: 37

Seismic velocity inversion transformer
Hongzhou Wang, Jun Lin, Xintong Dong, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. R513-R533
Closed Access | Times Cited: 28

Iterative deblending for simultaneous source data using the deep neural network
Shaohuan Zu, Junxing Cao, Shan Qu, et al.
Geophysics (2019) Vol. 85, Iss. 2, pp. V131-V141
Closed Access | Times Cited: 64

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 Approach for Earthquake Parameters Classification in Earthquake Early Warning System
Omar M. Saad, Ali G. Hafez, M. Sami Soliman
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 7, pp. 1293-1297
Open Access | Times Cited: 61

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

A Physics-Based Neural-Network Way to Perform Seismic Full Waveform Inversion
Yuxiao Ren, Xinji Xu, Senlin Yang, et al.
IEEE Access (2020) Vol. 8, pp. 112266-112277
Open Access | Times Cited: 60

De-noising of transient electromagnetic data based on the long short-term memory-autoencoder
Sihong Wu, Qinghua Huang, Li Zhao
Geophysical Journal International (2020) Vol. 224, Iss. 1, pp. 669-681
Closed Access | Times Cited: 59

Page 1 - Next Page

Scroll to top