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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:

Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models
Mishal Alsehli, Ali Basem, Dheyaa J. Jasim, et al.
Fuel (2024) Vol. 374, pp. 132431-132431
Closed Access | Times Cited: 10

Showing 10 citing articles:

Enhancing Solar Energy Conversion Efficiency: Thermophysical Property Predicting of MXene/Graphene Hybrid Nanofluids via Bayesian-Optimized Artificial Neural Networks
Dheyaa J. Jasim, Husam Rajab, As’ad Alizadeh, et al.
Results in Engineering (2024) Vol. 24, pp. 102858-102858
Open Access | Times Cited: 10
Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems
Tao Hai, Ali Basem, As’ad Alizadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated PCMs
Lotfi Ben Said, Ali Basem, Abbas J. Sultan, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108537-108537
Closed Access
Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models
Yi Ru, Ali B.M. Ali, Karwan Hussein Qader, et al.
International Journal of Thermal Sciences (2025) Vol. 211, pp. 109691-109691
Closed Access
Pore-scale investigation of supercritical multi-component thermal fluid flooding in deep heavy oil reservoirs
Qingjun Du, Jie Shen, Xue Yu, et al.
Geoenergy Science and Engineering (2025) Vol. 247, pp. 213734-213734
Closed Access
Synergizing Neural Networks with Multi-Objective Thermal Exchange Optimization and PROMETHEE Decision-Making to Improve PCM-based Photovoltaic Thermal Systems
Li Yongxin, Ali Basem, As’ad Alizadeh, et al.
Case Studies in Thermal Engineering (2025), pp. 105851-105851
Open Access
Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems
Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, et al.
Energy Conversion and Management X (2024), pp. 100835-100835
Open Access | Times Cited: 2
A computational analysis of the impact of nanofluids (Al2O3)on the PCM melting process in a rectangular container
Hasan A. Al-Asadi, Ali Basem, Dheyaa J. Jasim, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access
Modelling and optimization of thermal conductivity for MWCNT-SiO2(20:80)/hydraulic oil-based hybrid nanolubricants using ANN and RSM
Abhisek Haldar, Sankhadeep Chatterjee, Ankit Kotia, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 150, Iss. 1, pp. 607-626
Closed Access
A novel approach for optimizing a photovoltaic thermal system combined with solar thermal collector: Integrating RSM, multi-objective bat algorithm and VIKOR decision maker
Chou‐Yi Hsu, Harikumar Pallathadka, Pinank Patel, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 168, pp. 105927-105927
Closed Access
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