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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:

Artificial neural network model of non-Darcy MHD Sutterby hybrid nanofluid flow over a curved permeable surface: Solar energy applications
Shaik Jakeer, Maduru Lakshmi Rupa, Seethi Reddy Reddisekhar Reddy, et al.
Propulsion and Power Research (2023) Vol. 12, Iss. 3, pp. 410-427
Open Access | Times Cited: 20

Showing 20 citing articles:

Intelligent computing for electromagnetohydrodynamic bioconvection flow of micropolar nanofluid with thermal radiation and stratification: Levenberg–Marquardt backpropagation algorithm
Zeeshan Khan, Wafa F. Alfwzan, Aatif Ali, et al.
AIP Advances (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 15
Numerical tackling for MHD Darcy-Forchheimer flow of water-based CNTs in a rotating frame with homogeneous-heterogeneous reactions: An artificial neural network approach
K. Senthilvadivu, S. Eswaramoorthi, K. Loganathan, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-21
Closed Access | Times Cited: 12
Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions
Muhammad Imran Khan, A. Zeeshan, R. Ellahi, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1420-1420
Open Access | Times Cited: 11
Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet
Pradeep Kumar, F. Almeida, B. Nagaraja, et al.
IEEE Access (2024) Vol. 12, pp. 102242-102260
Open Access | Times Cited: 4
Artificial Neural Network and Numerical Simulation for Magneto Hydrodynamics Hybrid Nanofluid Flow Towards a Stretching Cylinder
Gunisetty Ramasekhar
Journal of Nanofluids (2024) Vol. 13, Iss. 3, pp. 760-771
Closed Access | Times Cited: 4
Solar-Enhanced ocean thermal energy conversion for green liquid hydrogen production
Lina Wang, Seyed Mojtaba Alirahmi, Oussama Rejeb
Applied Thermal Engineering (2025), pp. 125615-125615
Closed Access
Artificial neural networks computing system for Ree-Eyring hybrid nanofluid flow over a solar panel sheet: Hamilton–Crosser model
P. Priyadharshini, M. Archana
International Journal of Ambient Energy (2025)
Closed Access
Analysis of Chemical Reactive Tangent Hyperbolic Nanofluid Flow with Joule Heating and Motile Microorganisms Through Stretchable Surface
Muhammad Jawad, Naeem Sadiq, Mohamed R. Ali
BioNanoScience (2023) Vol. 14, Iss. 2, pp. 605-618
Closed Access | Times Cited: 11
Analysis of Numerical Computation and ANN Modelling on the Bio-Magnetic Darcy-Forchheimer Ternary Hybrid Nanofluid Flow: Entropy Generation
J. Jegan, R. Suresh, E. K. Subramanian, et al.
BioNanoScience (2024) Vol. 14, Iss. 3, pp. 2602-2624
Closed Access | Times Cited: 4
Neural network design for non-Newtonian Fe3O4–blood nanofluid flow modulated by electroosmosis and peristalsis
Yasir Akbar, Shiping Huang, Ali Alshamrani, et al.
Modern Physics Letters B (2024) Vol. 39, Iss. 02
Closed Access | Times Cited: 3
Machine learning approach of Casson hybrid nanofluid flow over a heated stretching surface
Gunisetty Ramasekhar, Shalan Alkarni, Nehad Ali Shah
AIMS Mathematics (2024) Vol. 9, Iss. 7, pp. 18746-18762
Open Access | Times Cited: 2
Predicting heat transfer rate and system entropy based on combining artificial neural network with numerical simulation
Hillal M. Elshehabey
International Journal of Numerical Methods for Heat & Fluid Flow (2024) Vol. 34, Iss. 6, pp. 2480-2512
Closed Access | Times Cited: 1
A neuro‐computational study of viscous dissipation and nonlinear Arrhenius chemical kinetics during the hypodicarbonous acid‐based hybrid nanofluid flow past a Riga plate
Asad Ullah, Hongxing Yao, Ikramullah Ikramullah, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 9
Closed Access | Times Cited: 1
Exploring double-diffusive convection in ferromagnetic Carreau nanofluid with magnetic dipole: Insights for solar thermal systems over plate, wedge, and stagnation
Padma Subramanyam, M. P. Mallesh, Jamuna Bodduna, et al.
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 104952-104952
Open Access | Times Cited: 1
Shallow Learning vs. Deep Learning in Engineering Applications
Fereshteh Jafari, Kamran Moradi, Qobad Shafiee
(2024), pp. 29-76
Closed Access | Times Cited: 1
Optimization of a micro-scale conical cavity receiver: A state-of-the-art approach
Ahmed M. Daabo, Ali Basem, Raqeeb H. Rajab, et al.
Propulsion and Power Research (2024)
Open Access | Times Cited: 1
Mixed convection flow of Magnetohydrodynamic Prandtl nanofluid containing gyrotactic microorganisms: Multi-layer neural network model
Shaik Jakeer, Seethi Reddy Reddisekhar Reddy, Maduru Lakshmi Rupa, et al.
Scientia Iranica (2024)
Open Access
Intelligent Computing for Electromagnetohydrodynamic Bioconvection Flow of Micropolar Nanofluid with Thermal Radiation and Stratification: Levenberg–Marquardt Backpropagation Algorithm 
Nisreen Innab
SSRN Electronic Journal (2024)
Closed Access
Advanced thermal performance of blood-integrated tri-hybrid nanofluid: an artificial neural network-based modeling and simulation
Mohib Hussain, Lin Du, Hassan Waqas, et al.
Mechanics of Time-Dependent Materials (2024) Vol. 29, Iss. 1
Closed Access
Optimizing the thermo-fluidic properties of ternary hybrid nanofluid for appliance of solar energy through an artificial intelligence integrated numerical solver technique
Yabin Shao, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, et al.
Chaos Solitons & Fractals (2024) Vol. 192, pp. 115961-115961
Closed Access
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