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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:

Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications
Amer Alanazi, Ahmed Farid Ibrahim, Saleh Bawazer, et al.
International Journal of Coal Geology (2023) Vol. 275, pp. 104297-104297
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Recent progress on advanced solid adsorbents for CO2 capture: From mechanism to machine learning
Mobin Safarzadeh Khosrowshahi, Amirhossein Afshari Aghajari, Mohammad Rahimi, et al.
Materials Today Sustainability (2024) Vol. 27, pp. 100900-100900
Closed Access | Times Cited: 17
Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture
Christiano Bruneli Peres, Leandro Cardoso de Morais, Pedro R. Resende
Journal of CO2 Utilization (2024) Vol. 80, pp. 102680-102680
Open Access | Times Cited: 13
The reversal of carbonate wettability via alumina nanofluids: Implications for hydrogen geological storage
Amer Alanazi, Mujahid Ali, Muhammad Ali, et al.
Fuel (2024) Vol. 370, pp. 131842-131842
Open Access | Times Cited: 9
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
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
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
Dual cross-linked magnetic gelatin/carboxymethyl cellulose cryogels for enhanced Congo red adsorption: Experimental studies and machine learning modelling
Congli Cui, Weixu Qiao, Dong Li, et al.
Journal of Colloid and Interface Science (2024) Vol. 678, pp. 619-635
Closed Access | Times Cited: 7
Dynamics change of coal methane adsorption/desorption and permeability under temperature and stress conditions
Yuhuan He, Xijian Li, Honggao Xie, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Predictive Modeling of Co2 and Methane Adsorption in Tight Reservoirs Using Machine Learning Techniques
Mehdi Maleki, Mohammad Rasool Dehghani, Moein Kafi, et al.
(2025)
Closed Access
Diverse machine learning applications for coal property characterization of coalbed methane and mining resources
David A. Wood
Elsevier eBooks (2025), pp. 361-411
Closed Access
Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends
Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, et al.
Journal of CO2 Utilization (2025) Vol. 93, pp. 103052-103052
Open Access
Optimisation study of carbon dioxide geological storage sites based on GIS and machine learning algorithms
Wei Lü, Shengwen Qi, Bowen Zheng, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2025) Vol. 11, Iss. 1
Open Access
Sorption Capacity Evaluation of Industrial Flue Gas Mixture using South African Coal Seams: Conventional and ANN Modelling
Kasturie Premlall, Lawrence Koech, Douw Gerbrand Faurie
Unconventional Resources (2025), pp. 100168-100168
Open Access
Machine Learning in Carbon Capture, Utilization, Storage, and Transportation: A Review of Applications in Greenhouse Gas Emissions Reduction
Xuejia Du, Muhammad Noman Khan, Ganesh Thakur
Processes (2025) Vol. 13, Iss. 4, pp. 1160-1160
Open Access
Novel Sesbania wood-based activated carbon for paracetamol removal: integrating batch adsorption, fixed-bed studies, and machine learning
Basem Mohammed Al-howri, Suzylawati Ismail, Mohammad Khajavian, et al.
Biomass Conversion and Biorefinery (2025)
Closed Access
Machine Learning and Reinforcement Learning-Driven Optimization of Carbon Capture and Storage Processes and Their Environmental Impact Assessment
Xihan Wang
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Coal Wettability Prediction for Carbon Geo-Storage Through Data-Driven Machine Learning Approaches
A. Moncada, Muhammad Arif
(2025)
Closed Access
Data-Driven Explainable Machine Learning Approaches for Predicting Hydrogen Adsorption in Porous Crystalline Materials
Hung Vo Thanh, Zhenxue Dai, Mohammad Rahimi
Journal of Alloys and Compounds (2025), pp. 180709-180709
Closed Access
Underground Hydrogen Storage in Saudi Arabia: Opportunities and Challenges
Amer Alanazi, Jing Ye, Abdulkader M. Afifi, et al.
Day 3 Wed, February 23, 2022 (2024)
Closed Access | Times Cited: 3
Data Driven Based Deep Learning for Optimizing Carbon Storage and Methane Adsorption in Unconventional Shale Gas Reservoirs
Yongjun Wang, Hung Vo Thanh, Watheq J. Al‐Mudhafar, et al.
Journal of environmental chemical engineering (2025), pp. 116901-116901
Closed Access
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 2
CO2 adsorption on polymeric amine-functionalized adsorbents by computational intelligence method
Ahmad A. Adewunmi, Omisanya I. Mayowa, Abdulhammed K. Hamzat, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 163, pp. 105647-105647
Closed Access | Times Cited: 2
Data‐driven framework for predicting the sorption capacity of carbon dioxide and methane in tight reservoirs
Fahd Mohamad Alqahtani, Mohamed Riad Youcefi, Hakim Djema, et al.
Greenhouse Gases Science and Technology (2024)
Open Access | Times Cited: 2
Hydrogen and Carbon Dioxide Kinetic Adsorption and Diffusion Behavior into Organic-Rich Shale: Implications of Mineralogy and Organic Content
Amer Alanazi, Hussein Rasool Abid, Saleh A. Bawazeer, et al.
Energy & Fuels (2024)
Open Access | Times Cited: 1
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105303-105303
Closed Access | Times Cited: 1
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