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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:

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

Showing 1-25 of 41 citing articles:

Nanoremediation strategies to address environmental problems
Muzamil Ahmad Rather, Shuvam Bhuyan, Ratan Chowdhury, et al.
The Science of The Total Environment (2023) Vol. 886, pp. 163998-163998
Closed Access | Times Cited: 44
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: 40
Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production
Hung Vo Thanh, Zhenxue Dai, Zhengyang Du, et al.
International Journal of Hydrogen Energy (2024) Vol. 57, pp. 1000-1009
Closed Access | Times Cited: 25
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23
Selecting Geological Formations for CO2 Storage: A Comparative Rating System
Muhammad Hammad Rasool, Maqsood Ahmad, Muhammad Ayoub
Sustainability (2023) Vol. 15, Iss. 8, pp. 6599-6599
Open Access | Times Cited: 38
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hung Vo Thanh, Hemeng Zhang, Zhenxue Dai, et al.
International Journal of Hydrogen Energy (2023) Vol. 55, pp. 1422-1433
Closed Access | Times Cited: 38
A Comprehensive Survey on Aquila Optimizer
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4449-4476
Open Access | Times Cited: 35
An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks
Mousa Alizadeh, Mohammad Taghi Hamidi Beheshti, Amin Ramezani, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 12
Open Access | Times Cited: 35
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
Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies
Shengwei Fu, Haisong Huang, Chi Ma, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120904-120904
Closed Access | Times Cited: 28
Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
Milad Hosseinpour, Mohammad Javad Shojaei, Mohsen Salimi, et al.
Fuel (2023) Vol. 353, pp. 129265-129265
Open Access | Times Cited: 27
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
Machine learning techniques for stock price prediction and graphic signal recognition
Junde Chen, Yuxin Wen, Yaser A. Nanehkaran, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106038-106038
Closed Access | Times Cited: 23
A review of intelligent decision-making strategy for geological CO2 storage: Insights from reservoir engineering
Jinjie Mao, Ashkan Jahanbani Ghahfarokhi
Geoenergy Science and Engineering (2024) Vol. 240, pp. 212951-212951
Open Access | Times Cited: 8
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
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Journal of Industrial Information Integration (2024) Vol. 41, pp. 100662-100662
Closed Access | Times Cited: 6
Advanced Optimized Deep-Learning Model for Precise Evaluation of Subsurface Carbon Dioxide Trapping Efficiency
Shadfar Davoodi, Promise O. Longe, N. V. Makarov, et al.
Energy & Fuels (2025)
Closed Access
A Review of Carbon Storage in Saline Aquifers: Key Obstacles and Solutions
Amin Izadpanahi, Narendra Kumar, Colombo Celso Gaeta Tassinari, et al.
Geoenergy Science and Engineering (2025), pp. 213806-213806
Closed Access
Impact of green and energy efficiency policies on environmental sustainability: Evidence from dynamic panel threshold model
Lanouar Charfeddine, Abdul Rahman
Energy Policy (2025) Vol. 202, pp. 114589-114589
Closed Access
A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study
Snigdha Chaturvedi, Narendra Kumar, Rajesh Kumar
Soft Computing (2023) Vol. 28, Iss. 6, pp. 4759-4773
Open Access | Times Cited: 15
Comparison of deep learning approaches for forecasting urban short-term water demand a Greater Sydney Region case study
Safa Ghannam, Farookh Khadeer Hussain
Knowledge-Based Systems (2023) Vol. 275, pp. 110660-110660
Closed Access | Times Cited: 10
Prediction of ORF for Optimized CO2 Flooding in Fractured Tight Oil Reservoirs via Machine Learning
Ming Yue, Quanqi Dai, Haiying Liao, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1303-1303
Open Access | Times Cited: 3
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Jiaxin Bian, Tao Hou, Dengjun Ren, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
CO2 trapping dynamics in tight sandstone: Insights into trapping mechanisms in Mae Moh's reservoir
Romal Ramadhan, Chetsada Tapanya, Thakheru Akamine, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122442-122442
Closed Access | Times Cited: 3
Towards efficient and accurate CO2 sequestration optimization: Integrating hierarchical spatio-temporal information into deep-learning-based surrogate models
Jingqi Lin, Kai Zhang, Liming Zhang, et al.
Fuel (2023) Vol. 356, pp. 129343-129343
Closed Access | Times Cited: 7
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