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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:

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

Showing 1-25 of 39 citing articles:

Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag, Pearl River Mouth Basin
Xiaobo Zhao, Xiaojun Chen, Qiao Huang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 214, pp. 110517-110517
Closed Access | Times Cited: 42
Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
Amir Ismail, Hatem Farouk Ewida, Sahar Nazeri, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109349-109349
Closed Access | Times Cited: 54
A Review of Predictive Analytics Models in the Oil and Gas Industries
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Sallehud-din
Sensors (2024) Vol. 24, Iss. 12, pp. 4013-4013
Open Access | Times Cited: 6
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
Influence of Heterogeneity on Carbonate Permeability Upscaling: A Renormalization Approach Coupled with the Pore Network Model
Haiyang Zhang, Hamid Ait Abderrahmane, Muhammad Arif, et al.
Energy & Fuels (2022) Vol. 36, Iss. 6, pp. 3003-3015
Open Access | Times Cited: 24
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: 23
A new method for dynamic predicting porosity and permeability of low permeability and tight reservoir under effective overburden pressure based on BP neural network
Dongliang Jiang, Hao Chen, Jianpeng Xing, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211721-211721
Closed Access | Times Cited: 14
Improved Reservoir Porosity Estimation Using an Enhanced Group Method of Data Handling with Differential Evolution Model and Explainable Artificial Intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
SPE Journal (2025), pp. 1-19
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
Fracture identification in shale reservoir using a deep learning method: Chang 7 reservoirs, Triassic Yanchang formation
Shaoqun Dong, Lianbo Zeng, Leting Wang, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212853-212853
Closed Access | Times Cited: 4
Advances in Seismic and Well Log in the Exploration in North Africa
Farouk I. Metwalli, Amir Ismail, John D. Pigott
Regional geology reviews (2024), pp. 557-589
Closed Access | Times Cited: 4
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
Multi-solution well placement optimization using ensemble learning of surrogate models
Mohammad Salehian, Morteza Haghighat Sefat, Khafiz Muradov
Journal of Petroleum Science and Engineering (2021) Vol. 210, pp. 110076-110076
Open Access | Times Cited: 26
A deep kernel method for lithofacies identification using conventional well logs
Shaoqun Dong, Zhaohui Zhong, Xuehui Cui, et al.
Petroleum Science (2022) Vol. 20, Iss. 3, pp. 1411-1428
Open Access | Times Cited: 17
Permeability Prediction of Carbonate Reservoir Based on Nuclear Magnetic Resonance (NMR) Logging and Machine Learning
Jianpeng Zhao, Qi Wang, Rong Qiang Wei, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1458-1458
Open Access | Times Cited: 3
On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques
Mehdi Mahdaviara, Aydin Larestani, Menad Nait Amar, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109685-109685
Closed Access | Times Cited: 21
Evaluation of Different Machine Learning Frameworks to Estimate CO2 Solubility in NaCl Brines: Implications for CO2 Injection into Low-Salinity Formations
Erfan Mohammadian, Bo Liu, Amin Riazi
Lithosphere (2022) Vol. 2022, Iss. Special 12
Open Access | Times Cited: 14
Logging curve prediction method based on CNN-LSTM-attention
Mingjiang Shi, Bohan Yang, Rui Chen, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2119-2131
Closed Access | Times Cited: 14
Prediction of permeability in a tight sandstone reservoir using a gated network stacking model driven by data and physical models
Pengyu Shi, Pengda Shi, Kang Bie, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 2
Research on Permeability Prediction Method of CO2 Storage Layer Based on Random Forest
Ping Lu, Zunsheng Jiao, Jing-zhe Guo, et al.
Springer series in geomechanics and geoengineering (2024), pp. 533-547
Closed Access | Times Cited: 2
Modeling Permeability Using Advanced White-Box Machine Learning Technique: Application to a Heterogeneous Carbonate Reservoir
Li‐Dong Zhao, Yuanling Guo, Erfan Mohammadian, et al.
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22922-22933
Open Access | Times Cited: 6
Prediction of porosity and water saturation using a probabilistic neural network for the Bahariya Formation, Nader Field, north western desert, Egypt
Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ahmed T. Amin, et al.
Journal of African Earth Sciences (2022) Vol. 196, pp. 104638-104638
Closed Access | Times Cited: 10
Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model
Zhang Jia, Gang Ma, Zhibing Yang, et al.
Water Resources Research (2024) Vol. 60, Iss. 7
Open Access | Times Cited: 1
Seismic characterization of deeply buried paleocaves based on Bayesian deep learning
Guoyin Zhang, Chengyan Lin, Lihua Ren, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 97, pp. 104340-104340
Closed Access | Times Cited: 8
Deep learning prediction of waterflooding-based alteration of reservoir hydraulic flow unit
F. Chu, Xianguo Zhang, Guoyin Zhang, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212396-212396
Closed Access | Times Cited: 2
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