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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:

Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
The European Physical Journal Plus (2023) Vol. 138, Iss. 3
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Darcy-Forchheimer hybrid nanofluid flow over the rotating Riga disk in the presence of chemical reaction: Artificial neural network approach
B. K. Sharma, Parikshit Sharma, Nidhish Kumar Mishra, et al.
Alexandria Engineering Journal (2023) Vol. 76, pp. 101-130
Open Access | Times Cited: 53
Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: Case of artificial neural network
Ashish Mishra, Sawan Kumar Rawat, Moh Yaseen, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21453-e21453
Open Access | Times Cited: 50
Melting rheology of three-dimensional Maxwell nanofluid (graphene-engine-oil) flow with slip condition past a stretching surface through Darcy-Forchheimer medium
Fuzhang Wang, Muhammad Awais, Rujda Parveen, et al.
Results in Physics (2023) Vol. 51, pp. 106647-106647
Open Access | Times Cited: 45
Dynamics prediction using an artificial neural network for a weakly conductive ionized fluid streamed over a vibrating electromagnetic plate
Poly Karmakar, Sanatan Das, N. Mahato, et al.
The European Physical Journal Plus (2024) Vol. 139, Iss. 5
Closed Access | Times Cited: 23
Impact of waste discharge concentration on fluid flow in inner stretched and outer stationary co-axial cylinders
Kholoud Saad Albalawi, K. Karthik, Mona Bin-Asfour, et al.
Applied Thermal Engineering (2024) Vol. 244, pp. 122757-122757
Closed Access | Times Cited: 22
A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions
K Chandan, Pudhari Srilatha, K V Karthik, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 7
Closed Access | Times Cited: 16
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
Neuro-computational simulation of blood flow loaded with gold and maghemite nanoparticles inside an electromagnetic microchannel under rapid and unexpected change in pressure gradient
Poly Karmakar, Sukanya Das, Sayan Das, et al.
Electromagnetic Biology and Medicine (2025), pp. 1-36
Closed Access | Times Cited: 3
Thermal analysis of radiative and electromagnetic flowing of hybridity nanofluid via Darcy–Forchheimer porous material with slippage constraints
M. Israr Ur Rehman, Haibo Chen, Aamir Hamid, et al.
Energy & Environment (2023)
Closed Access | Times Cited: 23
Supervised stochastic Levenberg–Marquardt intelligent netwoks for dynamics of convective Eyring–Powell magneto-nanofluid model
Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, et al.
The European Physical Journal Plus (2024) Vol. 139, Iss. 2
Closed Access | Times Cited: 14
Binary chemical interaction and nonlinearity radiative flux of Williamson fluidic flow through Riga plate
Kotha Gangadhar, T. Sujana Sree, Ali J. Chamkha
International Journal of Modelling and Simulation (2024), pp. 1-15
Closed Access | Times Cited: 13
Artificial neural network approach to simulate the impact of concentration in optimizing heat transfer rate on water-based hybrid nanofluid under slip conditions: A regression analysis
Subhajit Panda, Arun Prakash Baag, P. K. Pattnaik, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-23
Closed Access | Times Cited: 11
Supervised Stochastic Approach for computational analysis of convectively heated magnetized nanofluid flow with bioconvection aspects
Zahoor Shah, S. Bilal, Muhammad Asif Zahoor Raja, et al.
Alexandria Engineering Journal (2024) Vol. 98, pp. 130-146
Open Access | Times Cited: 11
Dynamics of stratified-convected Eyring-Powell nanoliquid featuring chemically reactive species and Ohmic dissipation: Application of Levenberg-Marquardt artificial neural networks(ALM-ANNs)
Zahoor Shah, M. Waqas, Muhammad Asif Zahoor Raja, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 108, pp. 109464-109464
Closed Access | Times Cited: 10
Artificial neural network (ANN) analysis on thermophysical properties of magnetohydrodynamics flow with radiation in an arc-shaped enclosure with a rotating cylinder
Tanmoy Bairagi, Md. Jahid Hasan, M N Hudha, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28609-e28609
Open Access | Times Cited: 9
Investigation into silver-engine oil nanoliquid convinced by Riga surface: Deviations in three binary nanofluids
Kotha Gangadhar, G. Naga Chandrika, Saeed Dinarvand
Modern Physics Letters B (2024)
Closed Access | Times Cited: 9
AI-powered computational analysis of dynamic responses in a vibrating Riga sensor within a reactive platinum -cerium oxide-water mixture
Poly Karmakar, Sanatan Das
Sensors and Actuators A Physical (2024) Vol. 381, pp. 116028-116028
Closed Access | Times Cited: 9
AI-led study of dynamic changes in milk containing hybrid nanoparticles in an electromagnetically vibrated channel subjected to thermal oscillations and rapid pressure changes: Implications for dairy industry
Sanatan Das, Poly Karmakar, Sayan Das, et al.
Chinese Journal of Physics (2024)
Closed Access | Times Cited: 9
Scientific computing of radiative heat transfer with thermal slip effects near stagnation point by artificial neural network
Hasan Shahzad, Muhammad Noveel Sadiq, Zhiyong Li, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104024-104024
Open Access | Times Cited: 8
Non-Fourier heat flux and Joule dissipation in hybrid nanoparticles suspension with Williamson fluid
Kotha Gangadhar, M. Sangeetha Rani, Abderrahim Wakif
The European Physical Journal Plus (2024) Vol. 139, Iss. 4
Closed Access | Times Cited: 8
Designing machine learning based intelligent network for assessment of heat transfer performance of ternary hybrid nanofluid flow between a cone and a disk: Case of MLP feed forward neural network
Ismail Ismail, B. S. Bhadauria, Moh Yaseen, et al.
Computers & Mathematics with Applications (2024) Vol. 169, pp. 17-38
Closed Access | Times Cited: 8
Evaluation of the thermo-hydraulic behavior of water-based graphene and Al2O3 hybrid nanofluids in a circular tube through CFD simulations
Fatma Oflaz
Journal of Thermal Analysis and Calorimetry (2025)
Open Access | Times Cited: 1
A comparative recognition research on excretory organism in medical applications using artificial neural networks
Shitharth Selvarajan, Hariprasath Manoharan, Celestine Iwendi, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 18
Impacts of Arrhenius energy and viscous dissipation on variable properties of viscoelastic nanofluid flow with slip velocity
Zahra S. Hafed, Sameh A. Hussein, Abdulaziz Alenazi, et al.
International Journal of Modelling and Simulation (2023), pp. 1-19
Closed Access | Times Cited: 18
Numerical treatment for the boundary layer flow of Sutterby nanofluid through porous medium with planktonic microorganisms over a stretching Riga cylindrical tube
Nabil T. Eldabe, M. E. Gabr, Sameh A. Hussein
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access | Times Cited: 7
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