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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:

Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods
Mehdi Jamei, Masoud Karbasi, Ismail Adewale Olumegbon, et al.
Journal of Molecular Liquids (2021) Vol. 335, pp. 116434-116434
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Experimental study on the thermal properties of Al 2 O 3 ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model
Hallera Basavarajappa Marulasiddeshi, Praveen Kumar Kanti, Mehdi Jamei, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 21066-21083
Open Access | Times Cited: 34
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Cleaner Production (2022) Vol. 374, pp. 134011-134011
Closed Access | Times Cited: 31
Surface water sodium (Na+) concentration prediction using hybrid weighted exponential regression model with gradient-based optimization
Iman Ahmadianfar, Seyedehelham Shirvani-Hosseini, Arvin Samadi-Koucheksaraee, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 35, pp. 53456-53481
Closed Access | Times Cited: 30
The entropy generation analysis of the influence of using fins with tip clearance on the thermal management of the batteries with phase change material: Application a new gradient-based ensemble machine learning approach
Amin Shahsavar, Abbas Goodarzi, Ighball Baniasad Askari, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 140, pp. 432-446
Closed Access | Times Cited: 29
Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
Tao Hai, Omer A. Alawi, Raad Z. Homod, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141069-141069
Closed Access | Times Cited: 7
An investigation on ensemble machine learning algorithms for nonlinear stability response of a two-dimensional FG nanobeam
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 9
Closed Access | Times Cited: 6
Machine learning based prediction of specific heat capacity for half-Heusler compounds
L. N. Chaudhary, Keshab Chaudhary, Anirudh Shahi, et al.
AIP Advances (2025) Vol. 15, Iss. 1
Closed Access
A review of artificial intelligence to thermal energy storage and heat transfer improvement in phase change materials
Artur Nemś, Sindu Daniarta, Magdalena Nemś, et al.
Sustainable materials and technologies (2025), pp. e01348-e01348
Closed Access
Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods
Huaguang Li, Ali B. M. Ali, R. Hussein, et al.
Case Studies in Thermal Engineering (2025), pp. 106038-106038
Open Access
The assessment of emerging data-intelligence technologies for modeling Mg+2 and SO4−2 surface water quality
Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Journal of Environmental Management (2021) Vol. 300, pp. 113774-113774
Closed Access | Times Cited: 27
Machine Learning Study on the Virtual Screening of Donor–Acceptor Pairs for Organic Solar Cells
Ming Li, Cai‐Rong Zhang, Meiling Zhang, et al.
physica status solidi (a) (2024) Vol. 221, Iss. 9
Closed Access | Times Cited: 4
Prediction of transient melt fraction in metal foam - nanoparticle enhanced PCM hybrid shell and tube heat exchanger: A machine learning approach
Gopi Krishna Amudhalapalli, Jaya Krishna Devanuri
Thermal Science and Engineering Progress (2023) Vol. 46, pp. 102241-102241
Closed Access | Times Cited: 10
High performance machine learning approach for reference evapotranspiration estimation
Mohammed S. Aly, Saad M. Darwish, A. Aly
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 2, pp. 689-713
Open Access | Times Cited: 10
Vulnerability of the rip current phenomenon in marine environments using machine learning models
Mohammad Najafzadeh, Sajad Basirian, Zhiqiang Li
Results in Engineering (2023) Vol. 21, pp. 101704-101704
Open Access | Times Cited: 9
Incorporating artificial intelligence-powered prediction models for exergy efficiency evaluation in parabolic trough collectors
Omer A. Alawi, Haslinda Mohamed Kamar, Raad Z. Homod, et al.
Renewable Energy (2024) Vol. 225, pp. 120348-120348
Closed Access | Times Cited: 3
Machine learning methods for modeling nanofluid flows: a comprehensive review with emphasis on compact heat transfer devices for electronic device cooling
M. S. Abhijith, K. P. Soman
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 12, pp. 5843-5869
Closed Access | Times Cited: 2
A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms
Ighball Baniasad Askari, Amin Shahsavar, Mehdi Jamei, et al.
Renewable Energy (2022) Vol. 193, pp. 149-166
Closed Access | Times Cited: 12
GBR-GSO based machine learning predictive model for estimating density of Al2N3, Si3N4, and TiN nanoparticles suspended in ethylene glycol nanofluids
Hari Mohan Singh, Durga Prasad Sharma, Ibrahim Olanrewaju Alade
The European Physical Journal Plus (2022) Vol. 137, Iss. 5
Closed Access | Times Cited: 12
A novel ensemble model using artificial neural network for predicting wave-induced forces on coastal bridge decks
Guoji Xu, Chengjie Ji, Huan Wei, et al.
Engineering With Computers (2022) Vol. 39, Iss. 5, pp. 3269-3292
Closed Access | Times Cited: 12
Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS
Tengyi Zhu, Ying Chen, Cuicui Tao
The Science of The Total Environment (2022) Vol. 857, pp. 159448-159448
Closed Access | Times Cited: 10
A Comprehensive Review of Predicting the Thermophysical Properties of Nanofluids Using Machine Learning Methods
Helin Wang, Xueye Chen
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 40, pp. 14711-14730
Closed Access | Times Cited: 9
A Benchmark Evaluation of the isoAdvection Interface Description Method for Thermally–Driven Phase Change Simulation
Ali Yahyaee, Amir Sajjad Bahman, Henrik Sørensen
Nanomaterials (2022) Vol. 12, Iss. 10, pp. 1665-1665
Open Access | Times Cited: 8
Deep learning and tree-based models for earth skin temperature forecasting in Malaysian environments
Omer A. Alawi, Haslinda Mohamed Kamar, Raad Z. Homod, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111411-111411
Closed Access | Times Cited: 1
Thermo-physical properties estimation of an oil-based hybrid nanofluid: application of a new hybrid neurocomputing approach
Mehdi Jamei, Ahmad Alkouh, Masoud Karbasi, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access | Times Cited: 1
Data-driven based financial analysis of concentrated solar power integrating biomass and thermal energy storage: A profitability perspective
Omer A. Alawi, Zaher Mundher Yaseen
Biomass and Bioenergy (2024) Vol. 188, pp. 107306-107306
Closed Access | Times Cited: 1

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