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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:

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms
Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 2, pp. 661-689
Open Access | Times Cited: 22

Showing 22 citing articles:

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Separation and Purification Technology (2023) Vol. 316, pp. 123807-123807
Closed Access | Times Cited: 45
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
Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105546-105546
Closed Access | Times Cited: 28
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123944-123944
Closed Access | Times Cited: 11
Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability
Matin Dargi, Ehsan Khamehchi, Javad Mahdavi Kalatehno
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Journal of Industrial Information Integration (2024) Vol. 41, pp. 100662-100662
Closed Access | Times Cited: 6
Machine Learning Based Reservoir Characterization and Numerical Modeling from Integrated Well Log and Core Data
Abdul-Muaizz Koray, Dung Bui, Emmanuel Appiah Kubi, et al.
Geoenergy Science and Engineering (2024) Vol. 243, pp. 213296-213296
Closed Access | Times Cited: 5
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
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
Hydrocarbon prospective study using seismic inversion and rock physics in an offshore field, Niger Delta
Ayodele O. Falade, John Olurotimi Amigun, O. Abiola
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Estimation of geomechanical rock characteristics from specific energy data using combination of wavelet transform with ANFIS-PSO algorithm
Mohammad Mohammadi Behboud, Ahmad Ramezanzadeh, Behzad Tokhmechi, et al.
Journal of Petroleum Exploration and Production Technology (2023) Vol. 13, Iss. 8, pp. 1715-1740
Open Access | Times Cited: 7
Ensemble Learning Based Sustainable Approach to Carbonate Reservoirs Permeability Prediction
Dhiaa Musleh, Sunday O. Olatunji, Abdulmalek A. Almajed, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14403-14403
Open Access | Times Cited: 7
Predicting density log from well log using machine learning techniques and heuristic optimization algorithm: A comparative study
Mehdi Rahmati, Ghasem Zargar, Abbas Ayatizadeh Tanha
Petroleum Research (2024) Vol. 9, Iss. 2, pp. 176-192
Open Access | Times Cited: 2
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: 2
Machine learning algorithm optimization for intelligent prediction of rock thermal conductivity: A case study from a whole-cored scientific drilling borehole
Yumao Pang, Bingbing Shi, Xingwei Guo, et al.
Geothermics (2023) Vol. 111, pp. 102711-102711
Closed Access | Times Cited: 4
Prediction of Oil Reservoir Porosity Using Petrophysical Data and a New Intelligent Hybrid Method
Hosnie Nazari, Farnusch Hajizadeh
Pure and Applied Geophysics (2023) Vol. 180, Iss. 12, pp. 4261-4274
Closed Access | Times Cited: 3
Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids
Shadfar Davoodi, Sergey V. Muravyov, David A. Wood, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
Cracking the Code: High Oil Saturation Without Oil Production? A Game-Changing Novel Geochemical Methodology for Assessing Total, Mobile/Immobile and EOR Oil; A Case Study from Abu Dhabi, UAE
T. Koksalan, K. A. Khan, R. Alhadhrami, et al.
(2024)
Closed Access
Committee Machine Learning: A Breakthrough in the Precise Prediction of CO2 Storage Mass and Oil Production Volumes in Unconventional Reservoirs
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Geoenergy Science and Engineering (2024), pp. 213533-213533
Closed Access
Sedimentary control on permeability heterogeneity: the Middle Buntsandstein continental sandstones (Lower Triassic, eastern France)
Lucas Medeiros Bofill, Guilherme Bozetti, Gerhard Schäfer, et al.
Marine and Petroleum Geology (2024), pp. 107261-107261
Closed Access
Reservoir permeability prediction based artificial intelligence techniques
Hayder Mahdi Ghargan, Omar Al-Fatlawi, Yasir Bashir
Iraqi Journal of Chemical and Petroleum Engineering (2024) Vol. 25, Iss. 4, pp. 49-60
Open Access
Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements
Ahmad Tijjani Lawal, Yingjie Yang, Nathanael L. Baisa, et al.
(2024), pp. 54-60
Closed Access
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