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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:

Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning
Ana Paula Oliveira Muller, Jessé C. Costa, C. R. Bom, et al.
Geophysics (2022) Vol. 87, Iss. 6, pp. R453-R463
Open Access | Times Cited: 12

Showing 12 citing articles:

Machine learning for subsurface geological feature identification from seismic data: Methods, datasets, challenges, and opportunities
Lei Lin, Zhi Zhong, Chenglong Li, et al.
Earth-Science Reviews (2024) Vol. 257, pp. 104887-104887
Closed Access | Times Cited: 4
Interactive channel segmentation from 2D seismic images using deep learning and conditional random fields
Hao Zhang, Peimin Zhu, Xianhai Song, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-13
Closed Access
GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds
David Oakley, Christelle Loiselet, Thierry Coowar, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 939-960
Open Access
SaltISNet3D: Interactive Salt Segmentation from 3D Seismic Images Using Deep Learning
Hao Zhang, Peimin Zhu, Zhiying Liao
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2319-2319
Open Access | Times Cited: 12
Deep pre-trained FWI: where supervised learning meets the physics-informed neural networks
Ana Paula Oliveira Muller, Jessé C. Costa, C. R. Bom, et al.
Geophysical Journal International (2023) Vol. 235, Iss. 1, pp. 119-134
Open Access | Times Cited: 9
A two-stage convolutional neural network for interactive channel segmentation from 3D seismic data
Hao Zhang, Xianhai Song, Peimin Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 3
Employing MS-UNets Networks for Multiscale 3-D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea
Rui Wang, Yaming Ding, Zhengwei Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 2
A comprehensive review of deep learning techniques for salt dome segmentation in seismic images
Muhammad Saif ul Islam, Aamir Wali
Journal of Applied Geophysics (2024) Vol. 230, pp. 105504-105504
Closed Access | Times Cited: 2
Deep‐salt: Complete three‐dimensional salt segmentation from inaccurate migrated subsurface offset gathers using deep learning
Ana Paula Oliveira Muller, B. Fraga, Matheus Klatt, et al.
Geophysical Prospecting (2024) Vol. 72, Iss. 6, pp. 2186-2199
Closed Access | Times Cited: 1
GEOMAPLEARN 1.0: Detecting geological structures from geological maps with machine learning
David Oakley, Christelle Loiselet, Thierry Coowar, et al.
(2024)
Open Access | Times Cited: 1
Comment on gmd-2024-35
Juan Antonio Añel
(2024)
Open Access
Reply on CEC1
David Oakley
(2024)
Open Access
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