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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 based algorithms for modeling natural convection fluid flow and heat and mass transfer in rectangular cavities filled with non-Newtonian fluids
Youssef Tizakast, Mourad Kaddiri, Mohamed Lamsaadi, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105750-105750
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Analysis of nonlinear complex heat transfer MHD flow of Jeffrey nanofluid over an exponentially stretching sheet via three phase artificial intelligence and Machine Learning techniques
A. Zeeshan, Nouman Khalid, R. Ellahi, et al.
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115600-115600
Closed Access | Times Cited: 30
An overview of the magnetic field effect on heat transfer and entropy generation in cavities: Application of the second law of thermodynamics and artificial intelligence
Morteza Bayareh, Mohammadreza Baghoolizadeh
International Communications in Heat and Mass Transfer (2024) Vol. 151, pp. 107238-107238
Closed Access | Times Cited: 17
Investigation of natural convection and entropy generation of non-Newtonian flow in molten polymer-filled odd-shaped cavities using finite difference lattice Boltzmann method
Saba Y. Ahmed, Qusay Rasheed Al-Amir, Hameed K. Hamzah, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-26
Closed Access | Times Cited: 17
Physics-informed graph convolutional neural network for modeling geometry-adaptive steady-state natural convection
Jiang-Zhou Peng, Nadine Aubry, Yubai Li, et al.
International Journal of Heat and Mass Transfer (2023) Vol. 216, pp. 124593-124593
Closed Access | Times Cited: 24
Application of an artificial intelligence model for natural convection of nano-encapsulated phase change materials (NEPCMs) confined in a porous square enclosure with an inclined elliptical heated block
Rachid Hidki, Lahcen El Moutaouakil, Mohammed Boukendil, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 155, pp. 107546-107546
Closed Access | Times Cited: 8
ANN-based Two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry
Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, et al.
Hybrid Advances (2025), pp. 100396-100396
Open Access | Times Cited: 1
Physics-Informed Machine Learning for Enhanced Prediction of Condensation Heat Transfer
Haeun Lee, Cheonkyu Lee, Hyoungsoon Lee
Energy and AI (2025), pp. 100482-100482
Open Access | Times Cited: 1
A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability
Shan Lin, Zenglong Liang, Shuaixing Zhao, et al.
International Journal of Mechanics and Materials in Design (2023) Vol. 20, Iss. 2, pp. 331-352
Closed Access | Times Cited: 18
A physics-informed neural networks modeling with coupled fluid flow and heat transfer – Revisit of natural convection in cavity
Zahra Hashemi, M. Gholampour, Ming Chang Wu, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 157, pp. 107827-107827
Closed Access | Times Cited: 6
Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators
S. Sammil, M. Sridharan
Thermal Science and Engineering Progress (2023) Vol. 47, pp. 102337-102337
Closed Access | Times Cited: 15
Data and physics-driven modeling for fluid flow with a physics-informed graph convolutional neural network
Jiang-Zhou Peng, Yue Hua, Nadine Aubry, et al.
Ocean Engineering (2024) Vol. 301, pp. 117551-117551
Closed Access | Times Cited: 5
Research of structure and performance on passive cooling heat sink in TEG waste heat recovery system based on topology optimization
Liyao Xie, Zhaowei He, Yulong Zhao, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 242, pp. 126795-126795
Closed Access
A numerical analysis of three-dimensional MHD convective flow of Maxwell nanofluids over an extending surface with Cattaneo–Christov heat and mass flux
Ebrahem A. Algehyne, Fahad Maqbul Alamrani, Izharul Haq Farooqi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Closed Access
Neural networking-based decisions on Powell–Eyring fluid flow with identical stretched porous and free stream conditions
Khalil Ur Rehman, Wasfı Shatanawi, Yian Yian Lok
Neural Computing and Applications (2025)
Closed Access
Machine learning approach to predict the thermal performance and friction factor of cylindrical heat exchangers with perforated conical ring turbulators
B. Gomathi, M. Ramanipriya, S. Anitha
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access
An attention-enhanced Fourier neural operator model for predicting flow fields in turbomachinery Cascades
Lele Li, Weihao Zhang, Ya Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Urban flood hazard assessment using FLA-optimized boost algorithms in Ankara, Türkiye
Enes Gül
Applied Water Science (2025) Vol. 15, Iss. 4
Open Access
Mesoscopic CUDA 3D MRT-LBM Simulation of Natural Convection of Power-Law Fluids in a Differentially Heated Cubic Cavity with a Machine Learning Cross-Validation
Md Farhad Hasan, Md. Mamun Molla, Sadia Siddiqa, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 8, pp. 10687-10723
Closed Access | Times Cited: 10
Machine learning based analysis of heat transfer in tangent hyperbolic fluid at heat generating magnetized surface
Khalil Ur Rehman, Wasfı Shatanawi, Taqi A. M. Shatnawi
International Journal of Thermofluids (2024) Vol. 21, pp. 100573-100573
Open Access | Times Cited: 3
A prediction model based on data-driven method for velocity and heat transfer coefficient of falling-film liquid on horizontal tube
Shun Hu, Xingsen Mu, Yibo Yang, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123191-123191
Closed Access | Times Cited: 2
Enhanced heat transfer in novel star-shaped enclosure with hybrid nanofluids: A neural network-assisted study
Qurrat Ul Ain, Imtiaz Ali Shah, Saleh Mousa Alzahrani
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 105065-105065
Open Access | Times Cited: 2
Nonlinear chaotic Lorenz-Lü-Chen fractional order dynamics: A novel machine learning expedition with deep autoregressive exogenous neural networks
Shahzaib Ahmed Hassan, Muhammad Junaid Ali Asif Raja, Chuan‐Yu Chang, et al.
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115620-115620
Closed Access | Times Cited: 2
Heat transfer enrichment in magnetohydrodynamic cylindrical flow of Maxwell fluid with thermal radiation and Stefan blowing effects
D. Iranian, K. Sudarmozhi, A. Chandulal, et al.
Case Studies in Thermal Engineering (2023) Vol. 52, pp. 103529-103529
Open Access | Times Cited: 6
Double diffusive Buoyancy‐driven flow in a fluid‐saturated elliptical annulus with a neural network‐based prediction of heat and mass transfer
Hichem Boulechfar, Farid Berrahil, Aïssa Boulmerka, et al.
Heat Transfer (2023) Vol. 52, Iss. 6, pp. 4199-4226
Open Access | Times Cited: 4
Comprehensive Investigation of Operating Parameters for Enhanced CO2 Capture Using CaO Sorbent and Machine Learning
Lei Wang, Hongwei Li, Changhe Du, et al.
Energy & Fuels (2023) Vol. 37, Iss. 20, pp. 15907-15918
Closed Access | Times Cited: 4
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