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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:

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling
Jiří Navrátil, Alan King, Jesus Rios, et al.
Frontiers in Big Data (2019) Vol. 2
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A systematic review of data science and machine learning applications to the oil and gas industry
Zeeshan Tariq, Murtada Saleh Aljawad, Amjed Hasan, et al.
Journal of Petroleum Exploration and Production Technology (2021) Vol. 11, Iss. 12, pp. 4339-4374
Open Access | Times Cited: 120
Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization
Cuthbert Shang Wui Ng, Ashkan Jahanbani Ghahfarokhi, Menad Nait Amar
Journal of Petroleum Exploration and Production Technology (2021) Vol. 11, Iss. 7, pp. 3103-3127
Open Access | Times Cited: 33
Review of Physics-Informed Machine Learning (PIML) Methods Applications in Reservoir Engineering
Utkarsh Sinha, Birol Dindoruk
Geoenergy Science and Engineering (2025), pp. 213713-213713
Closed Access
Cell-level deep learning as proxy model for reservoir simulation and production forecasting
Rafael Marrocos Magalhães, Thiago José Machado, M.D. Santos, et al.
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 2
Open Access
Assessing Risk in Long-Term CO2 Storage Under Uncertainty via Survival Analysis-Based Surrogates
Allan Gurwicz, Jungang Chen, David H. Gutman, et al.
SPE Journal (2025), pp. 1-18
Closed Access
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I
Anna Samnioti, Vassilis Gaganis
(2023)
Open Access | Times Cited: 11
Evaluating reservoir performance using a transformer based proxy model
Feng Zhang, Long D. Nghiem, Zhangxin Chen
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211644-211644
Closed Access | Times Cited: 10
Data-driven modelling with coarse-grid network models
Knut–Andreas Lie, Stein Krogstad
Computational Geosciences (2023) Vol. 28, Iss. 2, pp. 273-287
Open Access | Times Cited: 8
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications
Soumi Chaki, Yevgeniy Zagayevskiy, Xuebei Shi, et al.
(2020)
Closed Access | Times Cited: 15
Comparison of two different types of reduced graph-based reservoir models: Interwell networks (GPSNet) versus aggregated coarse-grid networks (CGNet)
Knut–Andreas Lie, Stein Krogstad
Geoenergy Science and Engineering (2022) Vol. 221, pp. 111266-111266
Open Access | Times Cited: 9
Augmenting Deep Residual Surrogates with Fourier Neural Operators for Rapid Two-Phase Flow and Transport Simulations
Faruk O. Alpak, Janaki Vamaraju, James W. Jennings, et al.
SPE Journal (2023) Vol. 28, Iss. 06, pp. 2982-3003
Closed Access | Times Cited: 5
Data-Driven Proxy Models for Improving Advanced Well Completion Design under Uncertainty
Ali Moradi, Javad Tavakolifaradonbe, Britt M. E. Moldestad
Energies (2022) Vol. 15, Iss. 20, pp. 7484-7484
Open Access | Times Cited: 8
An End-to-End Deep Sequential Surrogate Model for High Performance Reservoir Modeling: Enabling New Workflows
Jiří Navrátil, G. De Paola, Georgos Kollias, et al.
SPE Annual Technical Conference and Exhibition (2020)
Closed Access | Times Cited: 9
A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
Ginger Egberts, Marianne Schaaphok, F.J. Vermolen, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 11, pp. 8635-8642
Open Access | Times Cited: 6
Assessment of CO2 storage potential in reservoirs with residual gas using deep learning
Sahar Bakhshian, Ali Shariat, Arshad Raza
Interpretation (2022) Vol. 10, Iss. 3, pp. SG37-SG46
Closed Access | Times Cited: 6
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I
Anna Samnioti, Vassilis Gaganis
Energies (2023) Vol. 16, Iss. 16, pp. 6079-6079
Open Access | Times Cited: 3
Guided Deep Learning Manifold Linearization of Porous Media Flow Equations
Marcelo J. Dall’Aqua, Emilio J. R. Coutinho, Eduardo Gildin, et al.
SPE Journal (2023) Vol. 29, Iss. 02, pp. 885-908
Closed Access | Times Cited: 2
Uncertainty Prediction for Deep Sequential Regression Using Meta Models
Jiří Navrátil, Matthew Arnold, Benjamin Elder
arXiv (Cornell University) (2020)
Open Access | Times Cited: 5
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Open Access | Times Cited: 3
Interpretable GHG emission prediction for papermaking wastewater treatment process with deep learning
Zhenglei He, Shizhong Li, Yutao Wang, et al.
Chemical Engineering Science (2024) Vol. 299, pp. 120492-120492
Closed Access
Assessing Risk In Long-term CO2 Storage Under Uncertainty Via Survival Analysis-based Surrogates
Allan Gurwicz, Jian Chen, Diana Gutman, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 6
Closed Access
Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques
Sameer Salasakar, K. L. V. Sai Prakash Sakuru, Ganesh Thakur
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 4, pp. 1808-1823
Open Access
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, et al.
Lecture notes in computer science (2020), pp. 116-136
Open Access | Times Cited: 3
The Application of Neural Networks to Forecast Radial Jet Drilling Effectiveness
Sergey Krivoshchekov, Alexander Kochnev, Evgeny Ozhgibesov
Energies (2022) Vol. 15, Iss. 5, pp. 1917-1917
Open Access | Times Cited: 2
Robust Optimization Technique Using Modified Net Present Value and Stochastic Simplex Approximate Gradient
Eugênio Fortaleza, William Humberto Cuéllar Sánchez, Emanuel Pereira Barroso Neto, et al.
SPE Journal (2022) Vol. 27, Iss. 06, pp. 3384-3405
Closed Access | Times Cited: 2
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