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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:

Recent trends on nanofluid heat transfer machine learning research applied to renewable energy
Ting Ma, Zhixiong Guo, Mei Lin, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110494-110494
Open Access | Times Cited: 127

Showing 26-50 of 127 citing articles:

Evaluating Machine Learning as an Alternative to CFD for Heat Transfer Modeling
Seyed Hamed Godasiaei, Hossein Ali Kamali
Microgravity Science and Technology (2025) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
Thermal efficiency of eco-friendly MXene based nanofluid for performance enhancement of a pin-fin heat sink: Experimental and numerical analyses
Tehmina Ambreen, Arslan Saleem, Cheol Woo Park
International Journal of Heat and Mass Transfer (2021) Vol. 186, pp. 122451-122451
Closed Access | Times Cited: 42
A comprehensive review of heat transfer enhancement and flow characteristics in the concentric pipe heat exchanger
Haojie Li, Yuan Wang, You Han, et al.
Powder Technology (2021) Vol. 397, pp. 117037-117037
Closed Access | Times Cited: 41
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
Analysis of thermal efficiency of a corrugated double-tube heat exchanger with nanofluids
Dan Zheng, Jianqiang Du, Wei Wang, et al.
Energy (2022) Vol. 256, pp. 124522-124522
Closed Access | Times Cited: 32
Hybrid CFD-ANN approach for evaluation of bio-inspired dolphins dorsal fin turbulators of heat exchanger in turbulent flow
Iman Bashtani, Javad Abolfazli Esfahani, Kyung Chun Kim
Applied Thermal Engineering (2022) Vol. 219, pp. 119422-119422
Closed Access | Times Cited: 32
Numerical Simulation of Entropy Optimization in Radiative Hybrid Nanofluid Flow in a Variable Features Darcy–Forchheimer Curved Surface
Asif Ullah Hayat, Ikram Ullah, Hassan Khan, et al.
Symmetry (2022) Vol. 14, Iss. 10, pp. 2057-2057
Open Access | Times Cited: 29
Discovery and prediction capabilities in metal-based nanomaterials: An overview of the application of machine learning techniques and some recent advances
Emmanuel Anuoluwa Bamidele, Ahmed Olanrewaju Ijaola, Michael Oluwatosin Bodunrin, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101593-101593
Closed Access | Times Cited: 28
Shape optimization of pin fin array in a cooling channel using genetic algorithm and machine learning
Nam Phuong Nguyen, Elham Maghsoudi, Scott Roberts, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 202, pp. 123769-123769
Open Access | Times Cited: 28
Multi-domain physics-informed neural networks for solving transient heat conduction problems in multilayer materials
Benrong Zhang, Fajie Wang, Lin Qiu
Journal of Applied Physics (2023) Vol. 133, Iss. 24
Closed Access | Times Cited: 21
Prediction technique for flow boiling heat transfer and critical heat flux in both microgravity and Earth gravity via artificial neural networks (ANNs)
Issam Mudawar, Steven J. Darges, V.S. Devahdhanush
International Journal of Heat and Mass Transfer (2023) Vol. 220, pp. 124998-124998
Closed Access | Times Cited: 20
Highly efficient lithium-ion battery cathode material recycling using deep eutectic solvent based nanofluids
Changhui Liu, Yuqi Cao, Wenjie Sun, et al.
RSC Sustainability (2023) Vol. 1, Iss. 2, pp. 270-281
Open Access | Times Cited: 19
Machine Learning Applications in Renewable Energy (MLARE) Research: A Publication Trend and Bibliometric Analysis Study (2012–2021)
Samuel-Soma M. Ajibade, Festus Vıctor Bekun, Festus Fatai Adedoyin, et al.
Clean Technologies (2023) Vol. 5, Iss. 2, pp. 497-517
Open Access | Times Cited: 18
A state-of-the-art review on the utilization of machine learning in nanofluids, solar energy generation, and the prognosis of solar power
Santosh Kumar Singh, Arun Kumar Tiwari, H.K. Paliwal
Engineering Analysis with Boundary Elements (2023) Vol. 155, pp. 62-86
Closed Access | Times Cited: 16
A Review of Artificial Intelligence Methods in Predicting Thermophysical Properties of Nanofluids for Heat Transfer Applications
A. N. Basu, Aritra Saha, Sumanta Banerjee, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1351-1351
Open Access | Times Cited: 7
Recent progress of artificial intelligence for liquid-vapor phase change heat transfer
Youngjoon Suh, Aparna Chandramowlishwaran, Yoonjin Won
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
MHD Flow and Heat Transfer of Hybrid Nanofluid over an Exponentially Shrinking Surface with Heat Source/Sink
Mohamad Nizam Othman, Alias Jedi, Nor Ashikin Abu Bakar
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 8199-8199
Open Access | Times Cited: 38
Free convection flow of hybrid ferrofluid past a heated spinning cone
S. Saranya, László Baranyi, Qasem M. Al‐Mdallal
Thermal Science and Engineering Progress (2022) Vol. 32, pp. 101335-101335
Open Access | Times Cited: 23
Flow of Oldroyd-B nanofluid in non-inertial frame inspired by Cattaneo-Christov theory
Muhammad Yasir, Masood Khan, Awais Ahmed, et al.
Waves in Random and Complex Media (2023), pp. 1-12
Closed Access | Times Cited: 15
Thermodynamics of hydromagnetic boundary layer flow of Prandtl nanofluid past a heated stretching cylindrical surface with interface slip
Mohamed Boujelbene, Sohail Rehman, Yosef Jazaa, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 155, pp. 105310-105310
Closed Access | Times Cited: 15
Reliable prediction of thermophysical properties of nanofluids for enhanced heat transfer in process industry: a perspective on bridging the gap between experiments, CFD and machine learning
Atta Ullah, Mustafa Kılıç, Ghulam Habib, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 12, pp. 5859-5881
Closed Access | Times Cited: 14
Thermal-economic optimization design of shell and tube heat exchanger using an improved sparrow search algorithm
Shasha Han, Xingtao Li, Zuming Liu, et al.
Thermal Science and Engineering Progress (2023) Vol. 45, pp. 102085-102085
Closed Access | Times Cited: 13
Numerical investigations of ion slip and hall effects on Cattaneo-Christov heat and mass fluxes in darcy-forchheimer flow of Casson fluid within a porous medium, utilizing non-fourier double diffusion theories through artificial neural networks ANNs
Amna, Fahad Aljuaydi, Zeeshan Khan, et al.
International Journal of Thermofluids (2023) Vol. 20, pp. 100475-100475
Open Access | Times Cited: 13
Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
Van Giao Nguyen, Prabhu Paramasivam, Marek Dzida, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104743-104743
Open Access | Times Cited: 4
Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions
Tri W.B. Riyadi, Safarudin Gazali Herawan, Andy Tirta, et al.
Results in Engineering (2024), pp. 103002-103002
Open Access | Times Cited: 4

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