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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:

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

Showing 12 citing articles:

Sub-surface geospatial intelligence in carbon capture, utilization and storage: A machine learning approach for offshore storage site selection
Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, et al.
Energy (2024) Vol. 305, pp. 132086-132086
Open Access | Times Cited: 11
Analysis of different objective functions in petroleum field development optimization
Auref Rostamian, Marx Vladimir de Sousa Miranda, Abouzar Mirzaei‐Paiaman, et al.
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 10, pp. 2785-2805
Open Access | Times Cited: 7
Novel Transformer-based deep neural network for the prediction of post-refracturing production from oil wells
Jing Jia, Diquan Li, Lichang Wang, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2024) Vol. 13, Iss. 2, pp. 119-131
Open Access | Times Cited: 4
Predictive Modeling of Co2 and Methane Adsorption in Tight Reservoirs Using Machine Learning Techniques
Mehdi Maleki, Mohammad Rasool Dehghani, Moein Kafi, et al.
(2025)
Closed Access
Multi-Scale Pore Network Fusion and Upscaling of Microporosity Using Artificial Neural Network
Abolfazl Moslemipour, Saeid Sadeghnejad, Frieder Enzmann, et al.
Marine and Petroleum Geology (2025), pp. 107349-107349
Closed Access
Analyzing Key Parameters in Underground Hydrogen Storage Using Machine Learning Surrogate Models
Tanin Esfandi, Yasin Noruzi, Mir Saeid Safavi, et al.
(2025), pp. 978-986
Closed Access
Surrogate Boosting Models for Well Placement Prediction During Hydrogen Storage in a Depleted Gas Reservoir
Tanin Esfandi, Yasin Noruzi, Mir Saeid Safavi, et al.
(2025), pp. 1081-1095
Closed Access
An interpretable ensemble machine-learning workflow for permeability predictions in tight sandstone reservoirs using logging data
Ping Feng, Ruijia Wang, Jianmeng Sun, et al.
Geophysics (2024) Vol. 89, Iss. 5, pp. MR265-MR280
Closed Access | Times Cited: 1
Rapid Screening and Optimization of CO2 Enhanced Oil Recovery Process in Unconventional Reservoirs Using Interpretable Random Forests
Bing Wei, Shuqin Wen, Junyu You, et al.
(2024)
Closed Access
Hybrid Proxy Model for Extrapolating Cumulative Oil Production with Different Locations: Polynomial-Fast Marching Method
Mohammed Rajaa
Research Square (Research Square) (2024)
Open Access
Hybrid Proxy Model for Extrapolating Cumulative Oil Production with Different Locations: Polynomial-Fast Marching Method
Mohammed Rajaa, Ayad A. Alhaleem
Research Square (Research Square) (2024)
Open Access
Enhanced petrophysical evaluation through machine learning and well logging data in an Iranian oil field
Bahareh Rezaei Mirghaed, Abolfazl Dehghan Monfared, A.A. Ranjbar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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