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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:

Identifying Different Classes of Seismic Noise Signals Using Unsupervised Learning
Christopher Johnson, Yehuda Ben‐Zion, Haoran Meng, et al.
Geophysical Research Letters (2020) Vol. 47, Iss. 15
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

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: 60
Sensing prior constraints in deep neural networks for solving exploration geophysical problems
Xinming Wu, Jianwei Ma, Xu Si, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 23
Open Access | Times Cited: 44
Recent advances in earthquake seismology using machine learning
Hisahiko Kubo, Makoto Naoi, Masayuki Kano
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 20
Microseismic event waveform classification using CNN-based transfer learning models
Longjun Dong, Hongmei Shu, Zheng Tang, et al.
International Journal of Mining Science and Technology (2023) Vol. 33, Iss. 10, pp. 1203-1216
Open Access | Times Cited: 23
Microseismic Location in Hardrock Metal Mines by Machine Learning Models Based on Hyperparameter Optimization Using Bayesian Optimizer
Jian Zhou, Xiaojie Shen, Yingui Qiu, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 12, pp. 8771-8788
Closed Access | Times Cited: 20
Hybrid deep learning-based identification of microseismic events in TBM tunnelling
Xin Yin, Quansheng Liu, Jinshan Lei, et al.
Measurement (2024) Vol. 238, pp. 115381-115381
Closed Access | Times Cited: 7
Unsupervised Deep Clustering of Seismic Data: Monitoring the Ross Ice Shelf, Antarctica
William F. Jenkins, Peter Gerstoft, Michael J. Bianco, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 9
Closed Access | Times Cited: 40
Hierarchical Exploration of Continuous Seismograms With Unsupervised Learning
René Steinmann, Léonard Seydoux, Éric Beaucé, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 127, Iss. 1
Open Access | Times Cited: 36
Efficient seismic noise suppression for microseismic data using an adaptive TMSST approach
Xulin Wang, Minghui Lv
Acta Geophysica (2025)
Closed Access
Unsupervised learning inversion of seismic velocity models based on a multi‐scale strategy
Senlin Yang, L. Zhang, Yuxiao Ren, et al.
Geophysical Prospecting (2025)
Closed Access
Automatic speech recognition predicts contemporaneous earthquake fault displacement
Christopher Johnson, Kun Wang, Paul A. Johnson
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning
Chengping Chai, Omar Marcillo, Mónica Maceira, et al.
The Seismic Record (2025) Vol. 5, Iss. 1, pp. 64-72
Open Access
Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review
Jingwei Li, Hongyu Zhai, Changsheng Jiang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Automatic Receiver Function Picking Using Fuzzy C‐Means Clustering
Neng Xiong, Fenglin Niu, Hongrui Qiu, et al.
Earth and Space Science (2025) Vol. 12, Iss. 3
Open Access
Deep Clustering to Identify Sources of Urban Seismic Noise in Long Beach, California
Dylan Snover, Christopher Johnson, Michael J. Bianco, et al.
Seismological Research Letters (2020) Vol. 92, Iss. 2A, pp. 1011-1022
Closed Access | Times Cited: 31
Analysis of Seismic Signals Generated by Vehicle Traffic with Application to Derivation of Subsurface Q-Values
Haoran Meng, Yehuda Ben-Zion, Christopher Johnson
Seismological Research Letters (2021) Vol. 92, Iss. 4, pp. 2354-2363
Open Access | Times Cited: 25
Graph‐Partitioning Based Convolutional Neural Network for Earthquake Detection Using a Seismic Array
Keisuke Yano, Takahiro Shiina, Sumito Kurata, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 5
Closed Access | Times Cited: 23
Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures
Aditya Chakravarty, Siddharth Misra
International Journal of Rock Mechanics and Mining Sciences (2022) Vol. 151, pp. 105046-105046
Open Access | Times Cited: 17
AI‐Based Unmixing of Medium and Source Signatures From Seismograms: Ground Freezing Patterns
René Steinmann, Léonard Seydoux, Michel Campillo
Geophysical Research Letters (2022) Vol. 49, Iss. 15
Open Access | Times Cited: 13
Unsupervised Clustering of Microseismic Signals Using a Contrastive Learning Model
Zhen Yang, Huailiang Li, Xianguo Tuo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Closed Access | Times Cited: 7
The Role of Machine Learning in Earthquake Seismology: A Review
Anup Chitkeshwar
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Monitoring the 2020 Magna, Utah, Earthquake Sequence with Nodal Seismometers and Machine Learning
Ben Baker, Monique M. Holt, K. L. Pankow, et al.
Seismological Research Letters (2021) Vol. 92, Iss. 2A, pp. 787-801
Closed Access | Times Cited: 17
Rapid classification of local seismic events using machine learning
Luozhao Jia, Hongfeng Chen, Kang Xing
Journal of Seismology (2022) Vol. 26, Iss. 5, pp. 897-912
Closed Access | Times Cited: 11
Seismic event detection in urban Singapore using a nodal array and frequency domain array detector: earthquakes, blasts and thunderquakes
Karen Lythgoe, Aidan Loasby, Dannie Hidayat, et al.
Geophysical Journal International (2021) Vol. 226, Iss. 3, pp. 1542-1557
Open Access | Times Cited: 14
Learning the Low Frequency Earthquake Activity on the Central San Andreas Fault
Christopher Johnson, Paul A. Johnson
Geophysical Research Letters (2021) Vol. 48, Iss. 13
Open Access | Times Cited: 12
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