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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:

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

Showing 1-25 of 93 citing articles:

A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality
Siyuan Chen, Jiangfeng Liu, Qi Zhang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112537-112537
Closed Access | Times Cited: 383
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage
Hemeng Zhang, Hung Vo Thanh, Mohammad Rahimi, et al.
The Science of The Total Environment (2023) Vol. 877, pp. 162944-162944
Closed Access | Times Cited: 45
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Separation and Purification Technology (2023) Vol. 316, pp. 123807-123807
Closed Access | Times Cited: 45
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
Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Eslam G. Al-Sakkari, Ahmed Ragab, Hanane Dagdougui, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170085-170085
Closed Access | Times Cited: 27
Low-Carbon Advancement through Cleaner Production: A Machine Learning Approach for Enhanced Hydrogen Storage Predictions in Coal Seams
Yongjun Wang, Hung Vo Thanh, Hemeng Zhang, et al.
Renewable Energy (2025), pp. 122342-122342
Closed Access | Times Cited: 1
Generation of missing well log data with deep learning: CNN-Bi-LSTM approach
D. Haritha, N. Satyavani, A. Ramesh
Journal of Applied Geophysics (2025), pp. 105628-105628
Closed Access | Times Cited: 1
Density determination of CO2-Rich fluids within CCUS processes
Shirin Gholami, Elahe Rostaminikoo, Leila Khajenoori, et al.
Measurement Sensors (2025), pp. 101739-101739
Open Access | Times Cited: 1
Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project
Majid Safaei-Farouji, Hung Vo Thanh, Zhenxue Dai, et al.
Journal of Cleaner Production (2022) Vol. 372, pp. 133778-133778
Closed Access | Times Cited: 62
Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience
Peiyi Yao, Ziwang Yu, Yanjun Zhang, et al.
Fuel (2022) Vol. 333, pp. 126296-126296
Closed Access | Times Cited: 62
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Meysam Rajabi, Omid Hazbeh, Shadfar Davoodi, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 1, pp. 19-42
Open Access | Times Cited: 54
Classification of reservoir quality using unsupervised machine learning and cluster analysis: Example from Kadanwari gas field, SE Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Geosystems and Geoenvironment (2022) Vol. 2, Iss. 1, pp. 100123-100123
Open Access | Times Cited: 43
Probing Solubility and pH of CO2 in aqueous solutions: Implications for CO2 injection into oceans
Erfan Mohammadian, Fahimeh Hadavimoghaddam, Mahdi Kheirollahi, et al.
Journal of CO2 Utilization (2023) Vol. 71, pp. 102463-102463
Open Access | Times Cited: 38
Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and deep learning
Yingjiu Pan, Wenpeng Fang, Wen‐Shan Zhang
Journal of Cleaner Production (2023) Vol. 400, pp. 136742-136742
Closed Access | Times Cited: 28
Data-driven production optimization using particle swarm algorithm based on the ensemble-learning proxy model
Shuyi Du, Xiangguo Zhao, Chiyu Xie, et al.
Petroleum Science (2023) Vol. 20, Iss. 5, pp. 2951-2966
Open Access | Times Cited: 22
Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning
Nianyin Li, Wentao Feng, Jiajie Yu, et al.
Energy & Fuels (2023) Vol. 37, Iss. 14, pp. 10087-10111
Closed Access | Times Cited: 21
Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage
Ahmed A. Ewees, Hung Vo Thanh, Mohammed A. A. Al‐qaness, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112210-112210
Closed Access | Times Cited: 12
A novel governing equation for shale gas production prediction via physics-informed neural networks
Hai Wang, Muming Wang, Shengnan Chen, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123387-123387
Open Access | Times Cited: 11
Sub-surface geospatial intelligence in carbon capture, utilization and storage: A machine learning approach for offshore storage site selection
Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, et al.
Energy (2024) Vol. 305, pp. 132086-132086
Open Access | Times Cited: 8
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
Hung Vo Thanh, Mohammad Rahimi, Suparit Tangparitkul, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1-12
Closed Access | Times Cited: 8
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
Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects
Bin Shen, Shenglai Yang, Xinyuan Gao, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105687-105687
Closed Access | Times Cited: 30
Machine learning and deep learning for mineralogy interpretation and CO2 saturation estimation in geological carbon Storage: A case study in the Illinois Basin
Hongsheng Wang, Sherilyn Williams‐Stroud, Dustin Crandall, et al.
Fuel (2023) Vol. 361, pp. 130586-130586
Closed Access | Times Cited: 16
Toward Estimating CO2 Solubility in Pure Water and Brine Using Cascade Forward Neural Network and Generalized Regression Neural Network: Application to CO2 Dissolution Trapping in Saline Aquifers
Xinyuan Zou, Yingting Zhu, Jing Lv, et al.
ACS Omega (2024)
Open Access | Times Cited: 6
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