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:

A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making
Seyyed Amirreza Abdollahi, A.H. Aljassar E. Al-Enezi, As’ad Alizadeh, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 155, pp. 107535-107535
Closed Access | Times Cited: 11

Showing 11 citing articles:

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

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

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Yunyan Shang, Karrar A. Hammoodi, As’ad Alizadeh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 164, pp. 105673-105673
Closed Access | Times Cited: 9

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

Optimization of Hydrothermal Performance in Industrial Heat Sinks with Innovative Perforated Pin Fin Designs: A Numerical Approach
Fatema-Tuj Zohora, Mohammad Rejaul Haque, Nabil Mohammad Chowdhury, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41496-e41496
Open 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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