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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:

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Daniel Asante Otchere, Tarek Ganat, Raoof Gholami, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 200, pp. 108182-108182
Closed Access | Times Cited: 355

Showing 26-50 of 355 citing articles:

A critical review of rock failure Criteria: A scope of Machine learning approach
Mohatsim Mahetaji, Jwngsar Brahma
Engineering Failure Analysis (2024) Vol. 159, pp. 107998-107998
Closed Access | Times Cited: 10
Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review
Abd El Hedi Gabsi
Annals of Operations Research (2024)
Closed Access | Times Cited: 10
Data-driven machine learning for pattern recognition and detection of loosening torque in bolted joints
Jefferson da Silva Coelho, Marcela Machado, Maciej Dutkiewicz, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Open Access | Times Cited: 9
Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste
Monika Kulisz, Justyna Kujawska, Michał Cioch, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2997-2997
Open Access | Times Cited: 8
Exploiting building information modeling and machine learning for optimizing rooftop photovoltaic systems
Gianni Di Giovanni, Marianna Rotilio, Letizia Giusti, et al.
Energy and Buildings (2024) Vol. 313, pp. 114250-114250
Open Access | Times Cited: 8
Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves
Nafees Ali, Xiaodong Fu, Jian Chen, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3768-3768
Open Access | Times Cited: 8
Simulation and optimization of water-food-energy nexus under different subjective risks: A case study of Xiangyang section of Han River, China
Ying Zhu, Xin Dong, Xiuquan Wang, et al.
Computers & Industrial Engineering (2025) Vol. 200, pp. 110864-110864
Closed Access | Times Cited: 1
Characterization of lacustrine shale oil reservoirs based on a hybrid deep learning model: A data-driven approach to predict lithofacies, vitrinite reflectance, and TOC
Bo Liu, Y. Ma, Qamar Yasin, et al.
Marine and Petroleum Geology (2025), pp. 107309-107309
Closed Access | Times Cited: 1
Shear thickening fluid: A multifaceted rheological modeling integrating phenomenology and machine learning approach
M. M. Husain, Rameez Ahmad Aftab, Sadaf Zaidi, et al.
Journal of Molecular Liquids (2025), pp. 127223-127223
Closed Access | Times Cited: 1
A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction
Daniel Asante Otchere, Tarek Ganat, Raoof Gholami, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 91, pp. 103962-103962
Closed Access | Times Cited: 53
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: 53
Improved estimation of coalbed methane content using the revised estimate of depth and CatBoost algorithm: A case study from southern Sichuan Basin, China
Chengang Lu, Suian Zhang, Dan Xue, et al.
Computers & Geosciences (2021) Vol. 158, pp. 104973-104973
Closed Access | Times Cited: 42
District heating planning with focus on solar energy and heat pump using GIS and the supervised learning method: Case study of Gaziantep, Turkey
Shahab Eslami, Younes Noorollahi, Mousa Marzband, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116131-116131
Open Access | Times Cited: 36
Predicting dynamic formation pressure using artificial intelligence methods
Lev N. Zakharov, Dmitriy A. Martyushev, Inna N. Ponomareva
Journal of Mining Institute (2022) Vol. Online first
Open Access | Times Cited: 35
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation
Cuthbert Shang Wui Ng, Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi, et al.
Computers & Chemical Engineering (2022) Vol. 170, pp. 108107-108107
Open Access | Times Cited: 33
Application of nanoemulsion based edible coating on fresh-cut papaya
Nazia Tabassum, Rameez Ahmad Aftab, Owais Yousuf, et al.
Journal of Food Engineering (2023) Vol. 355, pp. 111579-111579
Closed Access | Times Cited: 21
Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir
Ayyaz Mustafa, Zeeshan Tariq, Mohamed Mahmoud, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor
Abidhan Bardhan, Abdel Kareem Alzo’ubi, P. Sangeetha, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae
Jun Wei Roy Chong, Doris Ying Ying Tang, Hui Yi Leong, et al.
Bioengineered (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran
Fatemeh Mohammadinia, A.A. Ranjbar, Moein Kafi, et al.
Journal of Petroleum Exploration and Production Technology (2023) Vol. 13, Iss. 6, pp. 1419-1434
Open Access | Times Cited: 16
Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Esra İmamoğlu
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1143-1143
Open Access | Times Cited: 7
Inter-well reservoir parameter prediction based on LSTM-Attention network and sedimentary microfacies
Muzhen Zhang, Ailin Jia, Zhanxiang Lei
Geoenergy Science and Engineering (2024) Vol. 235, pp. 212723-212723
Closed Access | Times Cited: 6
Modeling and evaluation of the permeate volume in membrane desalination processes using machine-learning techniques
Vinod Kumar S, S Mukil, P Naveen, et al.
Digital Chemical Engineering (2024) Vol. 11, pp. 100154-100154
Open Access | Times Cited: 6
Determination of Gas–Oil minimum miscibility pressure for impure CO2 through optimized machine learning models
Chenyu Wu, Lu Jin, Jin Zhao, et al.
Geoenergy Science and Engineering (2024) Vol. 242, pp. 213216-213216
Closed Access | Times Cited: 6
A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets
Abeer Aljohani, Nawaf Alharbe, Rabia Emhamed Al Mamlook, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101961-101961
Open Access | Times Cited: 5

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