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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 hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites
Hung Vo Thanh, Aiyoub Zamanyad, Majid Safaei-Farouji, et al.
Renewable Energy (2022) Vol. 200, pp. 169-184
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The role of underground salt caverns for large-scale energy storage: A review and prospects
Wei Liu, Qihang Li, Chunhe Yang, et al.
Energy storage materials (2023) Vol. 63, pp. 103045-103045
Closed Access | Times Cited: 91
Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
Hung Vo Thanh, Danial Sheini Dashtgoli, Hemeng Zhang, et al.
Energy (2023) Vol. 278, pp. 127860-127860
Open Access | Times Cited: 41
Seasonal peak load prediction of underground gas storage using a novel two-stage model combining improved complete ensemble empirical mode decomposition and long short-term memory with a sparrow search algorithm
Weibiao Qiao, Zonghua Fu, Mingjun Du, et al.
Energy (2023) Vol. 274, pp. 127376-127376
Closed Access | Times Cited: 40
Data-driven lithofacies prediction in complex tight sandstone reservoirs: a supervised workflow integrating clustering and classification models
Muhammad Ali, Peimin Zhu, Ren Jiang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 18
A Robust Strategy of Geophysical Logging for Predicting Payable Lithofacies to Forecast Sweet Spots Using Digital Intelligence Paradigms in a Heterogeneous Gas Field
Umar Ashraf, Hucai Zhang, Hung Vo Thanh, et al.
Natural Resources Research (2024) Vol. 33, Iss. 4, pp. 1741-1762
Closed Access | Times Cited: 16
Reservoir Quality Prediction of Gas-Bearing Carbonate Sediments in the Qadirpur Field: Insights from Advanced Machine Learning Approaches of SOM and Cluster Analysis
Muhammad Rashid, Miao Luo, Umar Ashraf, et al.
Minerals (2022) Vol. 13, Iss. 1, pp. 29-29
Open Access | Times Cited: 52
A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization
Muhammad Ali, Peimin Zhu, Huolin Ma, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 1047-1066
Closed Access | Times Cited: 37
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110408-110408
Closed Access | Times Cited: 34
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106459-106459
Closed Access | Times Cited: 34
Application of robust deep learning models to predict mine water inflow: Implication for groundwater environment management
Songlin Yang, Huiqing Lian, Bin Xu, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162056-162056
Closed Access | Times Cited: 25
An ensemble-based strategy for robust predictive volcanic rock typing efficiency on a global-scale: A novel workflow driven by big data analytics
Umar Ashraf, Hucai Zhang, Aqsa Anees, et al.
The Science of The Total Environment (2024) Vol. 937, pp. 173425-173425
Closed Access | Times Cited: 11
A new demand response management strategy considering renewable energy prediction and filtering technology
Xidong Zheng, Feifei Bai, Zhiyuan Zhuang, et al.
Renewable Energy (2023) Vol. 211, pp. 656-668
Open Access | Times Cited: 19
Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis
Bo Liu, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.
Energy (2023) Vol. 282, pp. 128799-128799
Closed Access | Times Cited: 18
Exploring the Potential of Carbon Capture, Utilization, and Storage in Baltic Sea Region Countries: A Review of CCUS Patents from 2000 to 2022
Mayur Pal, Viltė Karaliūtė, Shruti Malik
Processes (2023) Vol. 11, Iss. 2, pp. 605-605
Open Access | Times Cited: 16
Full-cycle enhancing condensate recovery-underground gas storage by integrating cyclic gas flooding and storage from gas condensate reservoirs
Keji Long, Yong Tang, Youwei He, et al.
Energy (2024) Vol. 293, pp. 130724-130724
Closed Access | Times Cited: 6
Data-Driven Machine Learning Models for Predicting Deliverability of Underground Natural Gas Storage in Aquifer and Depleted Reservoirs
Altaf Hussain, Peng–Zhi Pan, Javid Hussain, et al.
Energy (2025), pp. 134974-134974
Closed Access
Enhancing reservoir characterization: A novel machine learning approach for automated detection and reconstruction of outliers-affected well log curves
Wakeel Hussain, Miao Luo, Muhammad Ali, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Knowledge-based machine learning for mineral classification in a complex tectonic regime of Yingxiu-Beichuan fault zone, Sichuan basin
Jar Ullah, Huan Li, Umar Ashraf, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212077-212077
Closed Access | Times Cited: 15
Optimizing Cushion Gas Design in Underground Natural Gas Storage for Enhanced Gas Recovery and Carbon Sequestration Using Machine Learning and Multi-Objective Particle Swarm Optimization
Mohaddeseh AhmadiAghdam, Maryam Fazaeli, Mahdi Kanaani, et al.
(2025)
Closed Access
Long-term stability forecasting for energy storage salt caverns using deep learning-based model
Kai Zhao, Shinong Yu, Louis Ngai Yuen Wong
Energy (2025), pp. 134854-134854
Closed Access
Evaluating and Predicting Deliverability of Natural Gas Storage Sites Using Stacking Machine Learning Models
Wei Wei, Jian Hou, Xingqi Liu
Geoenergy Science and Engineering (2025), pp. 213771-213771
Closed Access
A Combined Gated Recurrent Unit and Multi-Layer Perception Neural Network Model for Predicting Shale Gas Production
Xiaozhou Qin, Xiaohu Hu, Hua Liu, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 806-806
Open Access | Times Cited: 10
Carbon Dioxide Storage and Cumulative Oil Production Predictions in Unconventional Reservoirs Applying Optimized Machine-Learning Models
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Petroleum Science (2024)
Open Access | Times Cited: 3
The development, frontier and prospect of Large-Scale Underground Energy Storage: A bibliometric review
Liangchao Huang, Zhengmeng Hou, Yanli Fang, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114293-114293
Open Access | Times Cited: 2
Experiment and prediction of enhanced gas storage capacity in depleted gas reservoirs for clean energy applications
Qing Wang, Mengchuan Zhang, Fujian Zhou, et al.
Renewable Energy (2024) Vol. 237, pp. 121894-121894
Closed Access | Times Cited: 2
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