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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:

Microseismic and seismic denoising via ensemble empirical mode decomposition and adaptive thresholding
Jiajun Han, Mirko van der Baan
Geophysics (2015) Vol. 80, Iss. 6, pp. KS69-KS80
Closed Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform
S. Mostafa Mousavi, Charles A. Langston, Stephen P. Horton
Geophysics (2016) Vol. 81, Iss. 4, pp. V341-V355
Closed Access | Times Cited: 273
Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding
S. Mostafa Mousavi, Charles A. Langston
Bulletin of the Seismological Society of America (2016) Vol. 106, Iss. 4, pp. 1380-1393
Closed Access | Times Cited: 187
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
Seismic Random Noise Attenuation Using Synchrosqueezed Wavelet Transform and Low-Rank Signal Matrix Approximation
Rasoul Anvari, Mohammad Amir Nazari Siahsar, Saman Gholtashi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2017) Vol. 55, Iss. 11, pp. 6574-6581
Closed Access | Times Cited: 164
Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data
S. Mostafa Mousavi, Charles A. Langston
Geophysics (2017) Vol. 82, Iss. 4, pp. V211-V227
Closed Access | Times Cited: 138
A method for low-frequency noise suppression based on mathematical morphology in microseismic monitoring
Huijian Li, Runqiu Wang, Siyuan Cao, et al.
Geophysics (2016) Vol. 81, Iss. 3, pp. V159-V167
Closed Access | Times Cited: 125
A novel denoising method for vibration signal of hob spindle based on EEMD and grey theory
Yachao Jia, Guolong Li, Xin Dong, et al.
Measurement (2020) Vol. 169, pp. 108490-108490
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
Adaptive noise estimation and suppression for improving microseismic event detection
S. Mostafa Mousavi, Charles A. Langston
Journal of Applied Geophysics (2016) Vol. 132, pp. 116-124
Open Access | Times Cited: 107
Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm
Yongkui Sun, Yuan Cao, Guo Xie, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 70, Iss. 11, pp. 11184-11192
Closed Access | Times Cited: 93
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
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
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
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
A simple method inspired by empirical mode decomposition for denoising seismic data
Julián L. Gómez, Danilo R. Velis
Geophysics (2016) Vol. 81, Iss. 6, pp. V403-V413
Open Access | Times Cited: 79
Ocean Surface Wave‐Current Signatures From Satellite Altimeter Measurements
Yves Quilfen, Bertrand Chapron
Geophysical Research Letters (2018) Vol. 46, Iss. 1, pp. 253-261
Open Access | Times Cited: 74
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: 70
Extracting surface waves, hum and normal modes: time-scale phase-weighted stack and beyond
Sergi Ventosa, Martín Schimmel, É. Stutzmann
Geophysical Journal International (2017) Vol. 211, Iss. 1, pp. 30-44
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
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
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
Automated Event Detection and Denoising Method for Passive Seismic Data Using Residual Deep Convolutional Neural Networks
Abdullah Othman, Naveed Iqbal, Sherif M. Hanafy, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Closed Access | Times Cited: 43
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy
Yongkui Sun, Yuan Cao, Peng Li
Accident Analysis & Prevention (2021) Vol. 166, pp. 106549-106549
Closed Access | Times Cited: 43
Surface microseismic data denoising based on sparse autoencoder and Kalman filter
Xuegui Li, Shuo Feng, Nan Hou, et al.
Systems Science & Control Engineering (2022) Vol. 10, Iss. 1, pp. 616-628
Open Access | Times Cited: 35
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
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