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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 petroleum reservoirs using stochastic gradient boosting regression
Abdülhamit Subaşı, Mohamed F. El‐Amin, Tarek Darwich, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 13, Iss. 7, pp. 3555-3564
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state
Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, et al.
Results in Engineering (2025), pp. 104035-104035
Open Access | Times Cited: 2
A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization
Muhammad Ali, Peimin Zhu, Huolin Ma, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 1047-1066
Closed Access | Times Cited: 40
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
Sina Rashidi, Mohammad Mehrad, Hamzeh Ghorbani, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 202, pp. 108425-108425
Closed Access | Times Cited: 47
A new data-driven predictor, PSO-XGBoost, used for permeability of tight sandstone reservoirs: A case study of member of chang 4+5, western Jiyuan Oilfield, Ordos Basin
Yufeng Gu, Daoyong Zhang, Zhidong Bao
Journal of Petroleum Science and Engineering (2021) Vol. 199, pp. 108350-108350
Closed Access | Times Cited: 38
Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction
Budoor Alwated, Mohamed F. El‐Amin
ADVANCES IN GEO-ENERGY RESEARCH (2021) Vol. 5, Iss. 3, pp. 297-317
Open Access | Times Cited: 33
Prediction of Water Saturation from Well Log Data by Machine Learning Algorithms: Boosting and Super Learner
Fahimeh Hadavimoghaddam, Mehdi Ostadhassan, Mohammad Ali Sadri, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 6, pp. 666-666
Open Access | Times Cited: 31
Machine learning methods for estimating permeability of a reservoir
Hera Khan, Ayush Srivastav, Amit Kumar Mishra, et al.
International Journal of Systems Assurance Engineering and Management (2022) Vol. 13, Iss. 5, pp. 2118-2131
Closed Access | Times Cited: 19
Machine Learning Prediction of Nanoparticle Transport with Two-Phase Flow in Porous Media
Mohamed F. El‐Amin, Budoor Alwated, Hussein Hoteit
Energies (2023) Vol. 16, Iss. 2, pp. 678-678
Open Access | Times Cited: 12
Effect of reservoir heterogeneity on well placement prediction in CO2-EOR projects using machine learning surrogate models: Benchmarking of boosting-based algorithms
Tanin Esfandi, Saeid Sadeghnejad, Arezou Jafari
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212564-212564
Closed Access | Times Cited: 12
Strength Evaluation of Expansive Soil Stabilized with Lead–Zinc Mine Tailings and Cement: An Artificial Intelligence Approach
Adegboyega Oduniyi Odumade, Chijioke Christopher Ikeagwuani, ThankGod Chukwuebuka Alexander
International Journal of Pavement Research and Technology (2024)
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
Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers
Mohammad Rasool Dehghani, Hamed Nikravesh, Maryam Aghel, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Reservoir Permeability Prediction Method Based on Fuzzy Clustering and Machine Learning
Jianwei Fu, Mengling Chen, Liangyu Chen, et al.
Chemistry and Technology of Fuels and Oils (2025)
Closed Access
Enhancing reservoir characterization: A novel machine learning approach for automated detection and reconstruction of outliers-affected well log curves
Wakeel Hussain, Miao Luo, Muhammad Ali, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Porosity prediction of tight reservoir rock using well logging data and machine learning
Yawen He, Hongjun Zhang, Zhiyu Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir
Dmitriy Shirinkin, Alexander Kochnev, Sergey Krivoshchekov, et al.
Energies (2024) Vol. 17, Iss. 1, pp. 236-236
Open Access | Times Cited: 3
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
Enming Li, Ning Zhang, Bin Xi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3163-3190
Closed Access | Times Cited: 3
Rock thermal properties from well-logging data accounting for thermal anisotropy
А. Shakirov, E. Chekhonin, Yu. A. Popov, et al.
Geothermics (2021) Vol. 92, pp. 102059-102059
Closed Access | Times Cited: 17
Machine Learning Assisted Well Placement Optimization
Davud Davudov, Ashwin Venkatraman, Ademide O. Mabadeje, et al.
SPE Western Regional Meeting (2023)
Closed Access | Times Cited: 6
Insights into the estimation of surface tensions of mixtures based on designable green materials using an ensemble learning scheme
Reza Soleimani, Amir Hossein Saeedi Dehaghani
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms
Hikmet Şevgin
International Journal of Assessment Tools in Education (2023) Vol. 10, Iss. 3, pp. 544-562
Open Access | Times Cited: 4
Dynamic Operation Optimization of Complex Industries Based on a Data-Driven Strategy
Huixin Tian, Chenning Zhao, Jueping Xie, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 189-189
Open Access | Times Cited: 1
Development and Application of a New Exponential Model for Hydraulic Conductivity with Depth of Rock Mass
Zhi Dou, Xin Huang, Weifeng Wan, et al.
Water (2024) Vol. 16, Iss. 5, pp. 778-778
Open Access | Times Cited: 1
Advanced machine learning approaches for predicting permeability in reservoir pay zones based on core analyses
Amad Hussen, Tanveer Alam Munshi, Labiba Nusrat Jahan, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32666-e32666
Open Access | Times Cited: 1
Spatial Dependency of Clogged Throats in Porous Media: A Microscale Investigation
Ahmed Elrahmani, Riyadh I. Al‐Raoush
SPE Journal (2024), pp. 1-17
Closed Access | Times Cited: 1
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