Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intelligent Computing with Levenberg–Marquardt Backpropagation Neural Networks for Third-Grade Nanofluid Over a Stretched Sheet with Convective Conditions
Muhammad Shoaib, Muhammad Asif Zahoor Raja, Ghania Zubair, et al.
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 7, pp. 8211-8229
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

MHD Casson Nanofluid in Darcy-Forchheimer Porous Medium in the Presence of Heat Source and Arrhenious Activation Energy: Applications of Neural Networks
Muhammad Shoaib, Shafaq Naz, Kottakkaran Sooppy Nisar, et al.
International Journal of Modelling and Simulation (2022) Vol. 43, Iss. 4, pp. 438-461
Closed Access | Times Cited: 49
Intelligent computing paradigm for the Buongiorno model of nanofluid flow with partial slip and MHD effects over a rotating disk
Ajed Akbar, Hakeem Ullah, Kottakkaran Sooppy Nisar, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2022) Vol. 103, Iss. 1
Closed Access | Times Cited: 40
Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface
Saleem Nasir, Abdallah S. Berrouk
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 24
A novel design of stochastic approximation treatment of longitudinal rectangular fin dynamical model
Iftikhar Ahmad, Hina Qureshi, Muhammad Asif Zahoor Raja, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104042-104042
Open Access | Times Cited: 10
Evaluating energy transmission characteristics of Non-Newtonian fluid flow in stratified and non-stratified regimes: A comparative study
S. Bilal, Asadullah Asadullah, Muhammad Bilal Riaz
Results in Engineering (2024) Vol. 22, pp. 102157-102157
Open Access | Times Cited: 9
Optimizing Ni (II) adsorption on Carica papaya fiber through experimental and advanced neural network prediction
Joydeep Das, Abhijit Mondal, Anirban Tarafdar, et al.
Separation Science and Technology (2025), pp. 1-22
Closed Access | Times Cited: 1
MHD williamson nanofluid flow in the rheology of thermal radiation, joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm
Aatif Ali, N. Ameer Ahammad, Sayed M. Eldin, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 29
Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact
Nabeela Anwar, Iftikhar Ahmad, Adiqa Kausar Kiani, et al.
Mathematics and Computers in Simulation (2023) Vol. 219, pp. 251-283
Closed Access | Times Cited: 17
Entropy and thermal case description of monophase magneto nanofluid with thermal jump and Ohmic heating employing finite element methodology
Xianqin Zhang, Dezhi Yang, Nek Muhammad Katbar, et al.
Case Studies in Thermal Engineering (2023) Vol. 45, pp. 102919-102919
Open Access | Times Cited: 16
Intelligent neural computing to investigate the heat and mass transmission in nanofluidic system between two rotating permeable disks: Supervised learning mechanism
Ahmed M. Galal, Qusain Haider, Mubashar Arshad, et al.
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104531-104531
Open Access | Times Cited: 7
Computing neural network to analyze heat and mass transfer in the flow of nanofluid between two disks
Reshu Gupta, Abderrahim Wakif
Numerical Heat Transfer Part A Applications (2024), pp. 1-30
Closed Access | Times Cited: 6
Flow and heat transfer analysis of polymeric fluid in the presence of nanoparticles and microorganisms
Razi Khan, Adeel Ahmad, Mehwish Afraz, et al.
Journal of Central South University (2023) Vol. 30, Iss. 4, pp. 1246-1261
Closed Access | Times Cited: 13
A neuro-intelligent heuristic approach for performance prediction of triangular fuzzy flow system
Shoaib Ali, Azad Hussain
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems (2025)
Closed Access
The Artificial Neural Network Optimization for Thermally Magnetized Williamson Fluid Flow over a Porous Surface
P. Priyadharshini, V. Karpagam
International Journal of Applied and Computational Mathematics (2025) Vol. 11, Iss. 2
Closed Access
MHD Hybrid Nanofluid Flow Due to Rotating Disk with Heat Absorption and Thermal Slip Effects: An Application of Intelligent Computing
Muhammad Shoaib, Muhammad Asif Zahoor Raja, M Sabir, et al.
Coatings (2021) Vol. 11, Iss. 12, pp. 1554-1554
Open Access | Times Cited: 28
Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm
Amna Khan, Fahad Aljuaydi, Zeeshan Khan, et al.
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China
Mutaz AlShafeey, Mohamad Ali Saleh Saleh
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 3
Streamlines and neural intelligent scheme for thermal transport to infinite shear rate for ternary hybrid nanofluid subject to homogeneous-heterogeneous reactions
Assad Ayub, Syed Zahir Hussain Shah, Zahoor Iqbal, et al.
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 104961-104961
Open Access | Times Cited: 3
Experimental and machine learning insights on heat transfer and friction factor analysis of novel hybrid nanofluids subjected to constant heat flux at various mixture ratios
Praveen Kumar Kanti, V. Vicki Wanatasanappan, Prabhakar Sharma, et al.
International Journal of Thermal Sciences (2024) Vol. 209, pp. 109548-109548
Closed Access | Times Cited: 3
RETRACTED: Computational analysis of ohmic and viscous dissipation effects on MHD mixed convection flow in a vertical channel with linearly varying wall temperatures
V. Leela, B. C. Prasannakumara, B. Shilpa, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2022)
Closed Access | Times Cited: 11
IoT technology enabled stochastic computing paradigm for numerical simulation of heterogeneous mosquito model
Sohaib Latif, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18851-18866
Closed Access | Times Cited: 11
Intelligent solution predictive control strategy for nonlinear hepatitis B epidemic model with delay
Nabeela Anwar, Iftikhar Ahmad, Adiqa Kausar Kiani, et al.
Waves in Random and Complex Media (2023), pp. 1-32
Closed Access | Times Cited: 6
MEYER WAVELET NEURAL NETWORKS PROCEDURES TO INVESTIGATE THE NUMERICAL PERFORMANCES OF THE COMPUTER VIRUS SPREAD WITH KILL SIGNALS
Zulqurnain Sabir, Dumitru Băleanu, Muhammad Asif Zahoor Raja, et al.
Fractals (2023) Vol. 31, Iss. 02
Open Access | Times Cited: 4
COMPUTATIONAL PERFORMANCES OF MORLET WAVELET NEURAL NETWORK FOR SOLVING A NONLINEAR DYNAMIC BASED ON THE MATHEMATICAL MODEL OF THE AFFECTION OF LAYLA AND MAJNUN
Zulqurnain Sabir, Dumitru Băleanu, Muhammad Asif Zahoor Raja, et al.
Fractals (2023) Vol. 31, Iss. 02
Open Access | Times Cited: 4
Study of 3-D Prandtl Nanofluid Flow over a Convectively Heated Sheet: A Stochastic Intelligent Technique
Muhammad Shoaib, Ghania Zubair, Muhammad Asif Zahoor Raja, et al.
Coatings (2021) Vol. 12, Iss. 1, pp. 24-24
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top