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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.

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Showing 1-25 of 44 citing articles:

Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
Hung Vo Thanh, Qamar Yasin, Watheq J. Al‐Mudhafar, et al.
Applied Energy (2022) Vol. 314, pp. 118985-118985
Closed Access | Times Cited: 93
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
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Zhengyang Du, Zhenxue Dai, Zhijie Yang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114366-114366
Closed Access | Times Cited: 20
Investigation on the influences of interlayer contents on stability and usability of energy storage caverns in bedded rock salt
Xiong Zhang, Wei Liu, Deyi Jiang, et al.
Energy (2021) Vol. 231, pp. 120968-120968
Closed Access | Times Cited: 75
Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation
Shuhan Liu, Wenqiang Sun
Energy (2022) Vol. 262, pp. 125498-125498
Closed Access | Times Cited: 49
Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hung Vo Thanh, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 12, pp. 33780-33794
Closed Access | Times Cited: 41
Predicting the wettability rocks/minerals-brine-hydrogen system for hydrogen storage: Re-evaluation approach by multi-machine learning scheme
Hung Vo Thanh, Mohammad Rahimi, Zhenxue Dai, et al.
Fuel (2023) Vol. 345, pp. 128183-128183
Closed Access | Times Cited: 35
Long-term stability analysis and evaluation of horizontal salt cavern gas storage
Junbao Wang, Xiaopeng Wang, Miaomiao He, et al.
Journal of Energy Storage (2023) Vol. 66, pp. 107413-107413
Closed Access | Times Cited: 25
Underground natural gas storage
Ali Ahmad Tanbhir, Minhaj Uddin Monir, Md. Jafar Hossain
Elsevier eBooks (2024), pp. 125-146
Closed Access | Times Cited: 11
Forecasting of compound ocean-fluvial floods using machine learning
Sogol Moradian, Amir AghaKouchak, Salem Gharbia, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121295-121295
Closed Access | Times Cited: 9
Research of interlayer dip angle effect on stability of salt cavern energy and carbon storages in bedded salt rock
Xinbo Ge, Jun Huang, Kang Zhou, et al.
Geoenergy Science and Engineering (2024) Vol. 243, pp. 213291-213291
Closed Access | Times Cited: 8
Advanced Machine Learning Models for CO2 and H2S Solubility in Water and NaCl Brine: Implications for Geoenergy Extraction and Carbon Storage
Wei Wei, Peng Lü, Chen Zhu, et al.
Energy & Fuels (2024) Vol. 38, Iss. 12, pp. 11119-11136
Closed Access | Times Cited: 7
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
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
DMLBC: Dependable machine learning for seaports using blockchain technology
Claudia Durán, Christian Fernández‐Campusano, Raúl Carrasco, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101918-101918
Open Access | Times Cited: 4
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
Knowledge-based rigorous machine learning techniques to predict the deliverability of underground natural gas storage sites for contributing to sustainable development goals
Hung Vo Thanh, Majid Safaei-Farouji, Ning Wei, et al.
Energy Reports (2022) Vol. 8, pp. 7643-7656
Open Access | Times Cited: 21
Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production
Nehad M. Ibrahim, Ali A Alharbi, Turki A. Alzahrani, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5326-5326
Open Access | Times Cited: 20
Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning
Yutian Lu, Bo Wang, Yingying Zhao, et al.
Energy (2022) Vol. 253, pp. 124139-124139
Open Access | Times Cited: 16
Prediction for segment strain and opening of underwater shield tunnel using deep learning method
Xuyan Tan, Weizhong Chen, Jianping Yang, et al.
Transportation Geotechnics (2023) Vol. 39, pp. 100928-100928
Closed Access | Times Cited: 9
Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage
Aliyuda Ali, Kachalla Aliyuda, Nouh Sabri Elmitwally, et al.
Applied Energy (2022) Vol. 327, pp. 120098-120098
Open Access | Times Cited: 14
Modeling the dynamic allocation problem of multi-service storage system with strategy learning
Ludi Xiao, Peng Zhou, Yang Bai, et al.
Energy (2024) Vol. 302, pp. 131597-131597
Closed Access | Times Cited: 2
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
Study on Critical Drawdown Pressure of Sanding for Wellbore of Underground Gas Storage in a Depleted Gas Reservoir
Rui Song, Ping Zhang, Xiaomin Tian, et al.
Energies (2022) Vol. 15, Iss. 16, pp. 5913-5913
Open Access | Times Cited: 10
Artificial Intelligence Applications in Natural Gas Industry: A Literature Review
Siddhartha Nuthakki, Chinmay S. Kulkarni, Satish Kathiriya, et al.
International Journal of Engineering and Advanced Technology (2024) Vol. 13, Iss. 3, pp. 64-70
Open Access | Times Cited: 1
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