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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:

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin
R. S. Varun Kumar, M. D. Alsulami, Ioannis E. Sarris, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2401-2401
Open Access | Times Cited: 24

Showing 24 citing articles:

Designing a solid–fluid interface layer and artificial neural network in a nanofluid flow due to rotating rough and porous disk
Pudhari Srilatha, R. J. Punith Gowda, J. Madhu, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 149, Iss. 2, pp. 867-878
Closed Access | Times Cited: 74
Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method
K Chandan, Rania Saadeh, Ahmad Qazza, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 39
Levenberg-Marquardt technique analysis of thermal and concentration storage in cone-disk apparatus with neural network-enhancement
Noreen Sher Akbar, Tayyab Zamir, Taseer Muhammad
Thermal Science and Engineering Progress (2024) Vol. 50, pp. 102529-102529
Closed Access | Times Cited: 23
Design of Bayesian stochastic networks for numerical treatment of Williamson fluid stretching flow model with mixed convected heat generation
Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-24
Closed Access | Times Cited: 18
Evolutionary Computing for the Radiative–Convective Heat Transfer of a Wetted Wavy Fin Using a Genetic Algorithm-Based Neural Network
Borra Poornima, Ioannis E. Sarris, K Chandan, et al.
Biomimetics (2023) Vol. 8, Iss. 8, pp. 574-574
Open Access | Times Cited: 29
Analysis of Heat Transfer Behavior of Porous Wavy Fin with Radiation and Convection by Using a Machine Learning Technique
K Chandan, P. Nimmy, K.V. Nagaraja, et al.
Symmetry (2023) Vol. 15, Iss. 8, pp. 1601-1601
Open Access | Times Cited: 28
Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network
Ali Maboudi Reveshti, Elham Khosravirad, Ahmad Karimi Rouzbahani, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25307-e25307
Open Access | Times Cited: 9
Computing intelligence for the magnetised chemically reactive bidirectional radiative nanofluid flow through the Bayesian regularisation back-propagated neural network
Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, et al.
Pramana (2024) Vol. 98, Iss. 4
Closed Access | Times Cited: 7
Heat transfer analysis in magnetohydrodynamic nanofluid flow induced by a rotating rough disk with non-Fourier heat flux: aspects of modified Maxwell–Bruggeman and Krieger–Dougherty models
Pudhari Srilatha, J. Madhu, Umair Khan, et al.
Nanoscale Advances (2023) Vol. 5, Iss. 21, pp. 5941-5951
Open Access | Times Cited: 18
Analysis of the convective heat transfer through straight fin by using the Riemann-Liouville type fractional derivative: Probed by machine learning
Waseem Waseem, Asad Ullah, Sabir Ali, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25853-e25853
Open Access | Times Cited: 5
Deep neural network-based prediction and computational fluid dynamics analysis of convective heat transfer in dusty fluid flow over heated surface
Maddina Dinesh Kumar, C. S. K. Raju, Kiran Sajjan, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface
Mumtaz Khan, Mudassar Imran, Waseem Ahmad Khan
International Journal of Modelling and Simulation (2024), pp. 1-14
Closed Access | Times Cited: 4
Predictive modelling of flow dynamics in micropolar hybrid nanofluids subjected to magnetic dipole influence using nonlinear autoregressive artificial neural networks with exogenous input
Saima Zainab, S. Shakir, Kiran Batool, et al.
Numerical Heat Transfer Part A Applications (2024), pp. 1-35
Closed Access | Times Cited: 4
Thermal analysis of natural convection in rectangular porous fin wetted with CNTs nanoparticles and thermal radiation
Tanuja Thimlapura Nagaraju, Kavitha Linganna, Sibyala Vijaykumar Varma, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 8
Closed Access | Times Cited: 4
Thermal analysis of extended surfaces using deep neural networks
Shina D. Oloniiju, Yusuf Olatunji Tijani, Olumuyiwa Otegbeye
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Effect of temperature-dependent internal heat generation over exponential and dovetail convective-radiative porous fin wetted in hybrid nanofluid
R. Girish, Asem Salma, P. V. Ananth Subray, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103214-103214
Open Access | Times Cited: 9
Numerical study on flow and heat transfer characteristics of a novel centrosymmetric tube with bent inner fins based on experiment
Ning Wang, Huaishuang Shao, Shifeng Deng, et al.
International Journal of Thermal Sciences (2024) Vol. 203, pp. 109166-109166
Closed Access | Times Cited: 1
Transient magnetohydrodynamic heat and mass transfer analysis of chemically reacting fluid flow over oscillatory permeable media
Ashirbad Kumar Rath, Itishree Nayak, Sukanya Padhi
International Journal of Modern Physics B (2024)
Closed Access
Neural network knacks to investigate thermal variability in nanofluidic fin through temperature-dependent analysis and heat generation studies
Hina Qureshi, Iftikhar Ahmad
The European Physical Journal Plus (2024) Vol. 139, Iss. 8
Closed Access
Stochastic analysis through Levenberg Marquardt backpropagation neural networks for radiative Carreau nanofluid flow subject to chemical reaction
Zahoor Shah, Seraj Alzhrani, Muhammad Asif Zahoor Raja, et al.
Ain Shams Engineering Journal (2024), pp. 103100-103100
Open Access
Analysis of the thermal distribution of a porous radial fin influenced by an inclined magnetic field with neural computing
Shazia Habib, Waseem Waseem, Zeeshan Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Optimized physics-informed neural network for analyzing the radiative-convective thermal performance of an inclined wavy porous fin
K Chandan, Pudhari Srilatha, K. Karthik, et al.
Case Studies in Thermal Engineering (2024) Vol. 64, pp. 105423-105423
Open Access
Fuzzy classification of countries according to their sustainable economic potential: application of the Solow-Swan and Green Solow models.
Anderson Quintero, Melva Ines Gomez, Mercedes Gaitán–Angulo
EarthArXiv (California Digital Library) (2023)
Open Access
Thermal Performance Prediction of Metal-Foam Heat Sink Using Genetic Algorithm Driven Neural Network
K Chandan, Rimjhim Padam Singh, K.V. Nagaraja, et al.
(2023), pp. 1-6
Closed Access
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