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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:

Predicting Parameters of Heat Transfer in a Shell and Tube Heat Exchanger Using Aluminum Oxide Nanofluid with Artificial Neural Network (ANN) and Self-Organizing Map (SOM)
Amir Zolghadri, Heydar Maddah, Mohammad Hossein Ahmadi, et al.
Sustainability (2021) Vol. 13, Iss. 16, pp. 8824-8824
Open Access | Times Cited: 22

Showing 22 citing articles:

A novel long term solar photovoltaic power forecasting approach using LSTM with Nadam optimizer: A case study of India
Jatin Sharma, Sameer Soni, Priyanka Paliwal, et al.
Energy Science & Engineering (2022) Vol. 10, Iss. 8, pp. 2909-2929
Open Access | Times Cited: 77
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
Impact of virtual baffles and magnetic nanofluid on thermo-hydraulic characteristics of sine wave mini channel
Basma Souayeh
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access
Review of pool boiling improvement with additives and nanofluids utilizing artificial intelligence
Zhongdong Wang, Xin Sun, Mohammadreza Baghoolizadeh, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108659-108659
Closed Access
Applications of machine learning methods for boiling modeling and prediction: A comprehensive review
Mohammad Mehdi Rashidi, Mohammad Alhuyi Nazari, C. Harley, et al.
Chemical Thermodynamics and Thermal Analysis (2022) Vol. 8, pp. 100081-100081
Open Access | Times Cited: 21
Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review
Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Azfarizal Mukhtar, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 158, pp. 107864-107864
Closed Access | Times Cited: 3
Improved surface temperature of absorber plate using metallic titanium particles for solar still application
H. Fayaz, Sayfar Rasachak, Muhammad Shakeel Ahmad, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102092-102092
Closed Access | Times Cited: 14
Effect of Magnetic Baffles and Magnetic Nanofluid on Thermo-Hydraulic Characteristics of Dimple Mini Channel for Thermal Energy Applications
Basma Souayeh, Suvanjan Bhattacharyya, Najib Hdhiri, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10419-10419
Open Access | Times Cited: 13
Mathematical and numerical investigations of nanofluid applications in the industrial heat exchangers
Manjakuppam Malika, Muthupandian Ashokkumar, Shriram S. Sonawane
Elsevier eBooks (2022), pp. 53-78
Closed Access | Times Cited: 11
Selection of Best Suitable Eco-Friendly Refrigerants for HVAC Sector and Renewable Energy Devices
Basma Souayeh, Suvanjan Bhattacharyya, Najib Hdhiri, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11663-11663
Open Access | Times Cited: 10
Applying Artificial Neural Network and Response Surface Method to Forecast the Rheological Behavior of Hybrid Nano-Antifreeze Containing Graphene Oxide and Copper Oxide Nanomaterials
Ammar A. Melaibari, Yacine Khetib, Abdullah K. Alanazi, et al.
Sustainability (2021) Vol. 13, Iss. 20, pp. 11505-11505
Open Access | Times Cited: 13
Numerical investigation of heat transfer in a tube equipped with twisted tape with different angles and under constant heat flux with copper nanofluid and evaluation of the results obtained using perceptron artificial neural networks
Mohsen Memari, Ehsan Boumari, Abolfazl Shoghi, et al.
Numerical Heat Transfer Part A Applications (2022) Vol. 82, Iss. 5, pp. 169-192
Closed Access | Times Cited: 7
Prediction of nanofluid flows’ optimum velocity in finned tube-in-tube heat exchangers using artificial neural network
Andaç Batur Çolak, Hatice Mercan, Özgen Açıkgöz, et al.
Kerntechnik (2022) Vol. 88, Iss. 1, pp. 100-113
Closed Access | Times Cited: 6
Decision Support System for Porous Ceramic Matrix-based Burner by Hybrid Genetic Algorithm-Supervised Kohonen Map: A Comparative Assessment of Performance of Neural Network Under Different Minor Attributes
Swagatika Acharya, Vijay Kumar Mishra, Sumanta Chaudhuri, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 2, pp. 2179-2197
Closed Access | Times Cited: 3
Experimental determination of the heat transfer coefficients of shell-and-tube heat exchangers with different hollow fiber arrangements
Alan Strunga, Tereza Kroulíková, Erik Bartuli, et al.
Journal of Thermal Analysis and Calorimetry (2022) Vol. 147, Iss. 24, pp. 14787-14796
Closed Access | Times Cited: 4
Prediction of heat exchanger fouling for predictive maintenance using artificial neural networks
Syed Ali Ammar Taqvi, Kanwal Kumar, Sohail Malik, et al.
Chemical Papers (2024) Vol. 78, Iss. 15, pp. 8295-8308
Closed Access
An imperative need for machine learning algorithms in heat transfer application: a review
M. Ramanipriya, S. Anitha
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access
Experimental evaluation and artificial neural network modeling of heat transfer performance of aerosolized magnesium oxide nanoparticles flow through pipes
Vidyasri Khadanga, Purna Chandra Mishra, Sayantan Mukherjee, et al.
Chinese Journal of Physics (2024) Vol. 92, pp. 1217-1232
Closed Access
Heat exchanger design considering variable overall heat transfer coefficient: An artificial neural network approach
Jordy A. Hernández‐Gil, D. Colorado, Francisco Alejandro Alaffita-Hernández, et al.
Heat Transfer (2021) Vol. 51, Iss. 3, pp. 2488-2509
Closed Access | Times Cited: 1
Lessen Pressure Drop and Forecasting Thermal Performance in U-Tube Heat Exchanger Using Chimp Optimization and Deep Belief Neural Network
Shailandra Kumar Prasad, M. K. Sinha
Optical Memory and Neural Networks (2023) Vol. 32, Iss. 4, pp. 275-294
Closed Access
Numerical Modelling and Experimental Validation of Novel Para Winglet Tape for Heat Transfer Enhancement
R Thejaraju, Girisha Kanuvanahalli Bettaiah, Parvathy Rajendran, et al.
Mathematics (2022) Vol. 10, Iss. 16, pp. 2893-2893
Open Access
Smart Complex Financial Flow Real-Time Control System based on Artificial Intelligence and Data Mining
Li Liyang
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1103-1106
Closed Access
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