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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:

A critical review of physics-informed machine learning applications in subsurface energy systems
Abdeldjalil Latrach, Mohamed Lamine Malki, Misael M. Morales, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212938-212938
Open Access | Times Cited: 18

Showing 18 citing articles:

Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 2
Optimizing underground hydrogen storage performance through multi-well strategies in depleted gas reservoirs
Axel Perwira Indro, Hichem A. K. Chellal, Mohamed Lamine Malki, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 672-685
Closed Access | Times Cited: 2
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib
AI (2024) Vol. 5, Iss. 3, pp. 1534-1557
Open Access | Times Cited: 15
Modeling of methane and carbon dioxide sorption capacity in tight reservoirs using Machine learning techniques
Mohsen Tavakolian, Reza Najafi-Silab, Shengnan Chen, et al.
Fuel (2023) Vol. 360, pp. 130578-130578
Closed Access | Times Cited: 17
Applications of artificial intelligence algorithms in artificial lift systems: A critical review
Okorie E. Agwu, Saad Alatefi, Reda Abdel Azim, et al.
Flow Measurement and Instrumentation (2024) Vol. 97, pp. 102613-102613
Closed Access | Times Cited: 7
Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management
Ashkan Safari, Mohammadreza Daneshvar, Amjad Anvari‐Moghaddam
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11112-11112
Open Access | Times Cited: 7
Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO$$_2$$ storage prediction
Misael M. Morales, Carlos Torres‐Verdín, Michael J. Pyrcz
Computational Geosciences (2024) Vol. 28, Iss. 4, pp. 733-754
Closed Access | Times Cited: 5
Optimizing Energy Efficiency and Emission Reduction: Leveraging the Power of Machine Learning in an Integrated Compressed Air Energy Storage-Solid Oxide Fuel Cell System
Yongfeng Wang, Shuguang Li, Zainab Ali Bu sinnah, et al.
Energy (2024), pp. 133962-133962
Closed Access | Times Cited: 4
History-Matching of imbibition flow in fractured porous media Using Physics-Informed Neural Networks (PINNs)
Jassem Abbasi, Ben Moseley, Takeshi Kurotori, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117784-117784
Open Access
Deep Learning–Assisted Multiobjective Optimization of Geological CO2 Storage Performance under Geomechanical Risks
Fangning Zheng, Zhiwei Ma, Hari Viswanathan, et al.
SPE Journal (2025), pp. 1-16
Closed Access
Data-driven analysis and insights into sorption-induced kerogen deformation in shale
Baixi Chen, Jian Wu, Yuyao Zhang
Gas Science and Engineering (2025), pp. 205579-205579
Open Access
A Hybrid Physics–Machine Learning Approach for Modeling Plastic–Bed Interactions during Fluidized Bed Pyrolysis
Stefano Iannello, Andrea Friso, Federico Galvanin, et al.
Energy & Fuels (2025) Vol. 39, Iss. 9, pp. 4549-4564
Open Access
Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO2 Storage Using Fourier Neural Operator Based Gated Recurrent Network
Shouxu Qiao, W. BenSaleh, Bo Zhang
SPE Reservoir Simulation Conference (2025)
Closed Access
Deep Learning Assisted Multi-Objective Optimization of Geological CO2 Storage Under Geomechanical Risks
Fangning Zheng, Zhen-Yu Ma, Hari Viswanathan, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 23
Closed Access | Times Cited: 2
Physics-Driven Neural Network for Interval Q Inversion
Yonghao Wang, Wei Cao, Weiheng Geng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 1
Optimal monitoring design for uncertainty quantification during geologic CO2 sequestration: A machine learning approach
Misael M. Morales, Mohamed Mehana, Carlos Torres‐Verdín, et al.
Geoenergy Science and Engineering (2024), pp. 213402-213402
Closed Access
Fusing Data-Driven Insights with Physics for Underground Hydrogen Storage
J. Omeke, Siddharth Misra, Albertus Retnanto
(2024)
Closed Access
Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed neural network
Misael M. Morales, Ali Eghbali, Oriyomi Raheem, et al.
Computers & Geosciences (2024), pp. 105786-105786
Closed Access
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