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:

What can machine learning do for seismic data processing? An interpolation application
Yongna Jia, Jianwei Ma
Geophysics (2017) Vol. 82, Iss. 3, pp. V163-V177
Closed Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

Deep-learning inversion: A next-generation seismic velocity model building method
Fangshu Yang, Jianwei Ma
Geophysics (2019) Vol. 84, Iss. 4, pp. R583-R599
Open Access | Times Cited: 439

Deep Learning for Geophysics: Current and Future Trends
Siwei Yu, Jianwei Ma
Reviews of Geophysics (2021) Vol. 59, Iss. 3
Open Access | Times Cited: 319

Deep-learning-based seismic data interpolation: A preliminary result
Benfeng Wang, Ning Zhang, Wenkai Lu, et al.
Geophysics (2018) Vol. 84, Iss. 1, pp. V11-V20
Closed Access | Times Cited: 302

Deep learning for denoising
Siwei Yu, Jianwei Ma, Wenlong Wang
Geophysics (2019) Vol. 84, Iss. 6, pp. V333-V350
Closed Access | Times Cited: 299

Seismic fault detection with convolutional neural network
Wei Xiong, Xu Ji, Yue Ma, et al.
Geophysics (2018) Vol. 83, Iss. 5, pp. O97-O103
Closed Access | Times Cited: 262

Understanding human vulnerability to climate change: A global perspective on index validation for adaptation planning
Joern Birkmann, Ali Jamshed, Joanna M. McMillan, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 150065-150065
Open Access | Times Cited: 177

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation
You Li, Yuan Zhuang, Xin Hu, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 6, pp. 4035-4062
Open Access | Times Cited: 157

Seismic trace interpolation for irregularly spatial sampled data using convolutional autoencoder
Yingying Wang, Benfeng Wang, Ning Tu, et al.
Geophysics (2019) Vol. 85, Iss. 2, pp. V119-V130
Closed Access | Times Cited: 99

Deep learning for irregularly and regularly missing data reconstruction
Xintao Chai, Hanming Gu, Li Feng, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 98

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

Seismic data interpolation based on U-net with texture loss
Wenqian Fang, Lihua Fu, Meng Zhang, et al.
Geophysics (2020) Vol. 86, Iss. 1, pp. V41-V54
Open Access | Times Cited: 81

Seismic data interpolation using deep learning with generative adversarial networks
Harpreet Kaur, Nam Pham, Sergey Fomel
Geophysical Prospecting (2020) Vol. 69, Iss. 2, pp. 307-326
Closed Access | Times Cited: 80

A Machine Learning-Based Thermobarometer for Magmatic Liquids
Gregor Weber, Jon Blundy
Journal of Petrology (2024) Vol. 65, Iss. 4
Open Access | Times Cited: 10

Meta-Processing: A robust framework for multi-tasks seismic processing
Shijun Cheng, Randy Harsuko, Tariq Alkhalifah
Surveys in Geophysics (2024) Vol. 45, Iss. 4, pp. 1081-1116
Closed Access | Times Cited: 10

Reconstructing Regularly Missing Seismic Traces With a Classifier-Guided Diffusion Model
Xinlei Wang, Zhiguo Wang, Zhe Xiong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 8

Seismic data interpolation using CycleGAN
Harpreet Kaur, Nam Pham, Sergey Fomel
(2019)
Closed Access | Times Cited: 74

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction
Xintao Chai, Genyang Tang, Shangxu Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 6244-6265
Closed Access | Times Cited: 61

A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing
Huan Liu, Zheng Liu, Shuo Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 1, pp. 128-140
Closed Access | Times Cited: 59

Seismic Data Reconstruction Using Deep Bidirectional Long Short-Term Memory With Skip Connections
Daeung Yoon, Zeu Yeeh, Joongmoo Byun
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 7, pp. 1298-1302
Open Access | Times Cited: 58

Deep Learning for Regularly Missing Data Reconstruction
Xintao Chai, Genyang Tang, Shangxu Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 6, pp. 4406-4423
Closed Access | Times Cited: 54

Residual Learning of Cycle-GAN for Seismic Data Denoising
Wenda Li, Jian Wang
IEEE Access (2021) Vol. 9, pp. 11585-11597
Open Access | Times Cited: 44

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

Intelligent interpolation by Monte Carlo machine learning
Yongna Jia, Siwei Yu, Jianwei Ma
Geophysics (2017) Vol. 83, Iss. 2, pp. V83-V97
Closed Access | Times Cited: 58

Inversion of magnetic data using deep neural networks
Zhenlin Hu, Shuang Liu, Xiangyun Hu, et al.
Physics of The Earth and Planetary Interiors (2021) Vol. 311, pp. 106653-106653
Closed Access | Times Cited: 37

Consecutively Missing Seismic Data Interpolation Based on Coordinate Attention Unet
Xinze Li, Bangyu Wu, Xu Zhu, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 37

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