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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:

Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review
Yu An, Haiwen Du, Siteng Ma, et al.
Earth-Science Reviews (2023) Vol. 243, pp. 104509-104509
Open Access | Times Cited: 20

Showing 20 citing articles:

Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion
Zeren Zhang, Ran Chen, Jinwen Ma
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 922-922
Open Access | Times Cited: 5
SeisBERT: A pretrained seismic image representation model for seismic data interpretation
Nam Trung Pham, Haibin Di, Tao Zhao, et al.
The Leading Edge (2025) Vol. 44, Iss. 2, pp. 96-106
Closed Access
Dynamic graph learning-based higher-order graph convolutional networks for fluid classification in oil and gas exploration
Hengxiao Li, Youzhuang Sun, Sibo Qiao
Physics of Fluids (2025) Vol. 37, Iss. 2
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
Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin
Jiawei Liu, Guanghui Wu, Lixin Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection
Jing Wang, Siteng Ma, Yu An, et al.
IEEE Access (2024) Vol. 12, pp. 136148-136159
Open Access | Times Cited: 4
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: 2
3D Salt-net: a method for salt body segmentation in seismic images based on sparse label
Zhifeng Xu, Kewen Li, Yaping Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 29005-29023
Closed Access | Times Cited: 6
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
FaultSeg3D plus: a comprehensive study on evaluating and improving CNN-based seismic fault segmentation
Youyong Li, Xinming Wu, Zhenyu Zhu, et al.
Geophysics (2024) Vol. 89, Iss. 5, pp. N77-N91
Closed Access | Times Cited: 1
Comment on gmd-2024-35
Juan Antonio Añel
(2024)
Open Access
ResACEUnet: An Improved Transformer Unet Model for 3D Seismic Fault Detection
Shaohuan Zu, Penghui Zhao, Chaofan Ke, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access
Full‐waveform inversion as a tool to predict fault zone acoustic properties
Ahmed Alghuraybi, Rebecca Bell, Christopher Jackson, et al.
Geophysical Prospecting (2024) Vol. 72, Iss. 8, pp. 3168-3183
Open Access
An approach of 2D convolutional neural network–based seismic data fault interpretation with linear annotation and pixel thinking
BoWen Deng, Guangui Zou, Suping Peng, et al.
Geophysical Prospecting (2024)
Closed Access
Literature review on deep learning for the segmentation of seismic images
Bruno A. A. Monteiro, Gabriel L. Canguçu, Leonardo M.S. Jorge, et al.
Earth-Science Reviews (2024) Vol. 258, pp. 104955-104955
Closed Access
A systematic review of deep learning for structural geological interpretation
Gustavo Lúcius Fernandes, Flávio Figueiredo, Raphael Siston Hatushika, et al.
Data Mining and Knowledge Discovery (2024) Vol. 39, Iss. 1, pp. 1-56
Closed Access
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation
Luiz Fernando Santos, Marcelo Gattass, C.A. Rodriguez, et al.
Computers & Geosciences (2024), pp. 105809-105809
Closed Access
Reply on CEC1
David Oakley
(2024)
Open Access
Enhancing Fault Detection Using CHRRA-Unet and Focal Loss Functions for Imbalanced Data: A Case Study in Luoping County, Yunnan, China
Gong Cheng, Syed Fawad Hussain, Yingdong Yang, et al.
(2024)
Closed Access
Seismic facies segmentation based on denoising diffusion probabilistic model: Investigating the influence of model specification on performance
Tobi Ore, Dengliang Gao
Computers & Geosciences (2024), pp. 105829-105829
Closed Access
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Haiwen Du, Zheng Ju, Yu An, et al.
Communications in computer and information science (2023), pp. 125-139
Closed Access
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