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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:

Seismic facies analysis using machine learning
Thilo Wrona, Indranil Pan, Robert L. Gawthorpe, et al.
Geophysics (2018) Vol. 83, Iss. 5, pp. O83-O95
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Daniel Asante Otchere, Tarek Ganat, Raoof Gholami, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 200, pp. 108182-108182
Closed Access | Times Cited: 359
A theory-guided deep-learning formulation and optimization of seismic waveform inversion
Jian Sun, Zhan Niu, K. A. Innanen, et al.
Geophysics (2019) Vol. 85, Iss. 2, pp. R87-R99
Closed Access | Times Cited: 178
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
Characterization of lacustrine shale oil reservoirs based on a hybrid deep learning model: A data-driven approach to predict lithofacies, vitrinite reflectance, and TOC
Bo Liu, Y. Ma, Qamar Yasin, et al.
Marine and Petroleum Geology (2025), pp. 107309-107309
Closed Access | Times Cited: 2
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks
Mingliang Liu, Michael Jervis, Weichang Li, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. O47-O58
Closed Access | Times Cited: 110
Bayesian Convolutional Neural Networks for Seismic Facies Classification
Runhai Feng, Niels Balling, Darío Graña, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8933-8940
Open Access | Times Cited: 63
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
Artificial Intelligence in Geosciences (2022) Vol. 3, pp. 101-114
Open Access | Times Cited: 45
Applications of deep neural networks in exploration seismology: A technical survey
S. Mostafa Mousavi, Gregory C. Beroza, Tapan Mukerji, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. WA95-WA115
Closed Access | Times Cited: 37
Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
Lecture notes in computer science (2019), pp. 218-231
Closed Access | Times Cited: 61
Unsupervised Seismic Random Noise Attenuation Based on Deep Convolutional Neural Network
Mi Zhang, Yang Liu, Yangkang Chen
IEEE Access (2019) Vol. 7, pp. 179810-179822
Open Access | Times Cited: 61
Log interpretation for lithology and fluid identification using deep neural network combined with MAHAKIL in a tight sandstone reservoir
Mei He, Hanming Gu, Huan Wan
Journal of Petroleum Science and Engineering (2020) Vol. 194, pp. 107498-107498
Closed Access | Times Cited: 61
Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning
Mi Zhang, Yang Liu, Min Bai, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 12, pp. 9709-9723
Closed Access | Times Cited: 59
Wavefield solutions from machine learned functions constrained by the Helmholtz equation
Tariq Alkhalifah, Chao Song, Umair bin Waheed, et al.
Artificial Intelligence in Geosciences (2021) Vol. 2, pp. 11-19
Open Access | Times Cited: 55
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
Automatic seismic facies interpretation using supervised deep learning
Haoran Zhang, Tiansheng Chen, Yang Liu, et al.
Geophysics (2020) Vol. 86, Iss. 1, pp. IM15-IM33
Closed Access | Times Cited: 54
Rock Burst Precursor Electromagnetic Radiation Signal Recognition Method and Early Warning Application Based on Recurrent Neural Networks
Yangyang Di, Enyuan Wang
Rock Mechanics and Rock Engineering (2021) Vol. 54, Iss. 3, pp. 1449-1461
Closed Access | Times Cited: 46
Seismic facies analysis: Past, present and future
Guoqiang Xu, Bilal U. Haq
Earth-Science Reviews (2021) Vol. 224, pp. 103876-103876
Closed Access | Times Cited: 46
Effective machine learning identification of TOC-rich zones in the Eagle Ford Shale
Adewale Amosu, Mohamed Imsalem, Yuefeng Sun
Journal of Applied Geophysics (2021) Vol. 188, pp. 104311-104311
Closed Access | Times Cited: 41
K-means clustering using principal component analysis to automate label organization in multi-attribute seismic facies analysis
Edric Brasileiro Troccoli, Alexsandro Guerra Cerqueira, Jonh Brian Lemos, et al.
Journal of Applied Geophysics (2022) Vol. 198, pp. 104555-104555
Closed Access | Times Cited: 37
Gamma-ray log derivative and volatility attributes assist facies characterization in clastic sedimentary sequences for formulaic and machine learning analysis
David A. Wood
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 1, pp. 69-85
Open Access | Times Cited: 32
Unsupervised contrastive learning: Shale porosity prediction based on conventional well logging
Lu Qiao, Shengyu Yang, Qinhong Hu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 6
Structural analysis of the Smeaheia fault block, a potential CO2 storage site, northern Horda Platform, North Sea
Mark Joseph Mulrooney, Johnathon L. Osmond, Elin Skurtveit, et al.
Marine and Petroleum Geology (2020) Vol. 121, pp. 104598-104598
Open Access | Times Cited: 40
Removal of multisource noise in airborne electromagnetic data based on deep learning
Xin Wu, Guoqiang Xue, Yiming He, et al.
Geophysics (2020) Vol. 85, Iss. 6, pp. B207-B222
Closed Access | Times Cited: 40
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet
Zi Xian Leong, Tieyuan Zhu
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 6
Closed Access | Times Cited: 36
Effective medium crack classification on laboratory concrete specimens via competitive machine learning
José A. Guzmán-Torres, M.Z. Naser, Francisco J. Domínguez-Mota
Structures (2022) Vol. 37, pp. 858-870
Closed Access | Times Cited: 26
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