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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:

Permeability prediction of isolated channel sands using machine learning
Guoyin Zhang, Zhizhang Wang, LI Hua-ji, et al.
Journal of Applied Geophysics (2018) Vol. 159, pp. 605-615
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Machine learning in geo- and environmental sciences: From small to large scale
Pejman Tahmasebi, Serveh Kamrava, Tao Bai, et al.
Advances in Water Resources (2020) Vol. 142, pp. 103619-103619
Closed Access | Times Cited: 214
Machine Learning in Oil and Gas Exploration: A Review
Ahmad Tijjani Lawal, Yingjie Yang, Hongmei He, et al.
IEEE Access (2024) Vol. 12, pp. 19035-19058
Open Access | Times Cited: 15
Deep learning reservoir porosity prediction based on multilayer long short-term memory network
Wei Chen, Liuqing Yang, Bei Zha, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. WA213-WA225
Closed Access | Times Cited: 107
A novel deep learning method based on 2-D CNNs and GRUs for permeability prediction of tight sandstone
Yinhong Tian, Guiwen Wang, Hongbin Li, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212851-212851
Closed Access | Times Cited: 9
Volcanic lithology identification based on parameter-optimized GBDT algorithm: A case study in the Jilin Oilfield, Songliao Basin, NE China
Zhichao Yu, Zhizhang Wang, Fancheng Zeng, et al.
Journal of Applied Geophysics (2021) Vol. 194, pp. 104443-104443
Closed Access | Times Cited: 43
Evaluation and prediction of the rock static and dynamic parameters
Marzieh Khosravi, Somayeh Tabasi, Hany Hossam Eldien, et al.
Journal of Applied Geophysics (2022) Vol. 199, pp. 104581-104581
Closed Access | Times Cited: 35
Lithological Classification by Hyperspectral Images Based on a Two-Layer XGBoost Model, Combined with a Greedy Algorithm
Nan Lin, Jiawei Fu, Ranzhe Jiang, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3764-3764
Open Access | Times Cited: 18
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 6
Convolutional neural networks as aid in core lithofacies classification
Rafael Pires de Lima, Fnu Suriamin, Kurt J. Marfurt, et al.
Interpretation (2019) Vol. 7, Iss. 3, pp. SF27-SF40
Closed Access | Times Cited: 53
Integration of knowledge-based seismic inversion and sedimentological investigations for heterogeneous reservoir
Amin Shahbazi, Mehrdad Soleimani, V. Thiruchelvam, et al.
Journal of Asian Earth Sciences (2020) Vol. 202, pp. 104541-104541
Closed Access | Times Cited: 48
Pattern visualization and understanding of machine learning models for permeability prediction in tight sandstone reservoirs
Guoyin Zhang, Zhizhang Wang, Shahab D. Mohaghegh, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 200, pp. 108142-108142
Closed Access | Times Cited: 39
Lithology identification of igneous rocks based on XGboost and conventional logging curves, a case study of the eastern depression of Liaohe Basin
Ruiyi Han, Zhuwen Wang, Wenhua Wang, et al.
Journal of Applied Geophysics (2021) Vol. 195, pp. 104480-104480
Closed Access | Times Cited: 38
High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism
Liuqing Yang, Shoudong Wang, Xiaohong Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 7, pp. 3429-3443
Closed Access | Times Cited: 27
Porosity and permeability prediction using a transformer and periodic long short-term network
Liuqing Yang, Sergey Fomel, Shoudong Wang, et al.
Geophysics (2022) Vol. 88, Iss. 1, pp. WA293-WA308
Closed Access | Times Cited: 22
An improved permeability estimation model using integrated approach of hybrid machine learning technique and shapley additive explanation
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Predicting coefficient of permeability of soils: an interpretable machine learning approach augmented by deep generative adversarial network
Laiba Gulaly, Muhammad Luqman, Hammanjoda Usman, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Permeability Prediction and Potential Site Assessment for CO2 Storage from Core Data and Well-Log Data in Malay Basin Using Advanced Machine Learning Algorithms
Md. Yeasin Arafath, AKM Eahsanul Haque, Numair Ahmed Siddiqui, et al.
ACS Omega (2025) Vol. 10, Iss. 6, pp. 5430-5448
Open Access
Research and application of logging lithology identification for igneous reservoirs based on deep learning
Min Xiang, Pengbo Qin, Fengwei Zhang
Journal of Applied Geophysics (2019) Vol. 173, pp. 103929-103929
Closed Access | Times Cited: 37
Deep-learning missing well-log prediction via long short-term memory network with attention-period mechanism
Liuqing Yang, Shoudong Wang, Xiaohong Chen, et al.
Geophysics (2022) Vol. 88, Iss. 1, pp. D31-D48
Closed Access | Times Cited: 18
Coefficient of permeability prediction of soils using gene expression programming
Ruiliang Zhang, Shuai Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107504-107504
Closed Access | Times Cited: 10
Reconstrucción probabilística mediante aprendizaje automático del sistema acuífero de la cuenca del Po (Italia)
Andrea Manzoni, Giovanni Porta, Laura Guadagnini, et al.
Hydrogeology Journal (2023) Vol. 31, Iss. 6, pp. 1547-1563
Open Access | Times Cited: 8
Igneous rocks lithology identification with deep forest: Case study from eastern sag, Liaohe basin
Ruiyi Han, Zhuwen Wang, Wenhua Wang, et al.
Journal of Applied Geophysics (2022) Vol. 208, pp. 104892-104892
Closed Access | Times Cited: 13
Rock type based-estimation of pore throat size distribution in carbonate reservoirs using integrated analysis of well logs and seismic attributes
Sirous Hosseinzadeh, Amir Mollajan, Samira Akbarzadeh, et al.
Carbonates and Evaporites (2024) Vol. 39, Iss. 2
Closed Access | Times Cited: 2
Porosity prediction using a deep learning method based on bidirectional spatio-temporal neural network
Jun Wang, Junxing Cao, Shan Yuan, et al.
Journal of Applied Geophysics (2024) Vol. 228, pp. 105465-105465
Closed Access | Times Cited: 2
Data-driven estimation for permeability of simplex pore-throat reservoirs via an improved light gradient boosting machine: A demonstration of sand-mud profile, Ordos Basin, northern China
Yufeng Gu, Yang Yang, Yinshan Gao, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 217, pp. 110909-110909
Closed Access | Times Cited: 10
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