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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:

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

Showing 1-25 of 138 citing articles:

Machine Learning in Seismology: Turning Data into Insights
Qingkai Kong, Daniel T. Trugman, Zachary E. Ross, et al.
Seismological Research Letters (2018) Vol. 90, Iss. 1, pp. 3-14
Open Access | Times Cited: 413
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 301
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
A review of the current status of induced seismicity monitoring for hydraulic fracturing in unconventional tight oil and gas reservoirs
Lei Li, Jingqiang Tan, David A. Wood, et al.
Fuel (2019) Vol. 242, pp. 195-210
Closed Access | Times Cited: 205
Deep learning for Seismic Lithology Prediction
Guoyin Zhang, Zhizhang Wang, Yangkang Chen
Geophysical Journal International (2018)
Closed Access | Times Cited: 198
A theory-guided deep-learning formulation and optimization of seismic waveform inversion
Jian Sun, Zhan Niu, K. A. Innanen, et al.
Geophysics (2019) Vol. 85, Iss. 2, pp. R87-R99
Closed Access | Times Cited: 178
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
Machine learning in microseismic monitoring
Denis Anikiev, Claire Birnie, Umair bin Waheed, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104371-104371
Open Access | Times Cited: 59
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Men‐Andrin Meier, Zachary E. Ross, Anshul Ramachandran, et al.
Journal of Geophysical Research Solid Earth (2018) Vol. 124, Iss. 1, pp. 788-800
Open Access | Times Cited: 130
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
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
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
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
Semiautomatic first-arrival picking of microseismic events by using the pixel-wise convolutional image segmentation method
Hao Wu, Bo Zhang, Fangyu Li, et al.
Geophysics (2019) Vol. 84, Iss. 3, pp. V143-V155
Closed Access | Times Cited: 75
Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings
Huailiang Li, Jiahao Shi, Linjia Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-10
Closed Access | Times Cited: 43
Fast waveform detection for microseismic imaging using unsupervised machine learning
Yangkang Chen
Geophysical Journal International (2018) Vol. 215, Iss. 2, pp. 1185-1199
Closed Access | Times Cited: 69
Identifying microseismic events in a mining scenario using a convolutional neural network
Andrew Wilkins, Andrew D. Strange, Yi Duan, et al.
Computers & Geosciences (2020) Vol. 137, pp. 104418-104418
Closed Access | Times Cited: 66
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
Automatic high-resolution microseismic event detection via supervised machine learning
Shan Qu, Zhe Guan, D. J. Verschuur, et al.
Geophysical Journal International (2020) Vol. 222, Iss. 3, pp. 1881-1895
Open Access | Times Cited: 56
Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network
Omar M. Saad, Yangkang Chen
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 6234-6243
Closed Access | Times Cited: 54
Lithofacies identification using support vector machine based on local deep multi-kernel learning
Xingye Liu, Lin Zhou, Xiaohong Chen, et al.
Petroleum Science (2020) Vol. 17, Iss. 4, pp. 954-966
Open Access | Times Cited: 53
Convolutional neural networks for microseismic waveform classification and arrival picking
Guoyin Zhang, Chengyan Lin, Yangkang Chen
Geophysics (2020) Vol. 85, Iss. 4, pp. WA227-WA240
Closed Access | Times Cited: 51
Reservoir Porosity Prediction Based on BiLSTM-AM Optimized by Improved Pelican Optimization Algorithm
Lei Qiao, Nansi He, You Cui, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1479-1479
Open Access | Times Cited: 6
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