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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:

A decreasing failure rate model with a novel approach to enhance the artificial neural network's structure for engineering and disease data analysis
Tabassum Naz Sindhu, Andaç Batur Çolak, Showkat Ahmad Lone, et al.
Tribology International (2023) Vol. 192, pp. 109231-109231
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Artificial neural network-based study of entropy optimization in Johnson-Segalman nanofluids through a peristaltic channel
Muhammad Ishaq, M. Bilal Ashraf, Moieza Ashraf, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access | Times Cited: 2
Magnetohydrodynamics tangent hyperbolic nanofluid flow across a vertical stretching surface using Levengberg-Marquardt back propagation artificial neural networks
Bilal Ali, Shengjun Liu, Hong Juan Liu, et al.
Numerical Heat Transfer Part A Applications (2024), pp. 1-23
Closed Access | Times Cited: 15
Introducing the new arcsine-generator distribution family: An in-depth exploration with an illustrative example of the inverse weibull distribution for analyzing healthcare industry data
Tabassum Naz Sindhu, Anum Shafiq, Muhammad Bilal Riaz, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100879-100879
Open Access | Times Cited: 14
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: 12
Effect of Radiation on Casson Hybrid Nano-fluid Flow over an Inclined Surface Using Blasius Rayleigh-Stokes Variable: Application in Solar Aircraft
Olayinka Akeem Oladapo, Olusegun Adebayo Ajala, Akintayo Oladimeji Akindele, et al.
Engineering Science & Technology (2024), pp. 158-179
Open Access | Times Cited: 7
A new extension of the Gumbel distribution with biomedical data analysis
Hanita Daud, Ahmad Abubakar Suleiman, Aliyu Ismail Ishaq, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101055-101055
Open Access | Times Cited: 7
A new sine-inspired probability model: Theoretical features with statistical modeling of the music engineering and reliability scenarios
Shuming Han, Dongmei Wang, Yusra Tashkandy, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 288-297
Open Access | Times Cited: 6
Data augmentation using SMOTE technique: Application for prediction of burst pressure of hydrocarbons pipeline using supervised machine learning models
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Masdi Muhammad, et al.
Results in Engineering (2024), pp. 103233-103233
Open Access | Times Cited: 4
Project Cost Prognostication for Government Buildings Using Feed-Forward Backpropagation Neural Network
Jean Adrian O. Maravilla, Dario Landa-Silva, Kevin Lawrence M. de Jesus, et al.
Lecture notes in civil engineering (2025), pp. 249-259
Closed Access
Construction of a novel five-dimensional Hamiltonian conservative hyperchaotic system and its application in image encryption
Minxiu Yan, Shuyan Li
Soft Computing (2025)
Closed Access
A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19
Baijnath Kaushik, Akshma Chadha, Abhigya Mahajan, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110241-110241
Closed Access
Peristaltic flow of electromagnetic tri-hybrid Carreau nanofluid using backpropagated Levenberg–Marquardt technique: an entropy generation analysis in blood cells
Arshad Riaz, Muhammad Naeem Aslam, M. Ali Awan, et al.
Electromagnetic Biology and Medicine (2025), pp. 1-19
Closed Access
Applications to medical and failure time data: Using a new extension of the extended exponential model
Ibrahim E. Ragab, Mohamed Kayid, Oluwafemi Samson Balogun, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101373-101373
Closed Access
An updated software reliability model using the shanker model and failure data
Anum Shafiq, Tabassum Naz Sindhu, Showkat Ahmad Lone, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 2078-2095
Closed Access | Times Cited: 3
Validation Challenges in Data for Different Diesel Engine Performance Regimes Utilising HVO Fuel: A Study on the Application of Artificial Neural Networks for Emissions Prediction
Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Machines (2024) Vol. 12, Iss. 4, pp. 279-279
Open Access | Times Cited: 3
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: 3
An Efficient Deep Learning Prognostic Model for Remaining Useful Life Estimation of High Speed CNC Milling Machine Cutters
Hamdy K. Elminir, Mohamed A. El-Brawany, Dina A. Ibrahim, et al.
Results in Engineering (2024) Vol. 24, pp. 103420-103420
Open Access | Times Cited: 3
Problem optimization of ray tracing through the crystalline lens of the eye with an artificial neural network and Grey Wolf optimizer
Atallah El-shenawy, Mahmoud Abd El-Hady, Ahmed I. Saleh, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108733-108733
Open Access
Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions
Md Munirul Hasan, M.M. Rahman, Mohammad Saiful Islam, et al.
Frontiers in Heat and Mass Transfer (2024) Vol. 22, Iss. 2, pp. 537-556
Open Access | Times Cited: 2
Buongiorno’s radiative Prandtl-Eyring nanofluid flow through porous medium over a stretching surface with cross-diffusion effects
Mahantesh M. Nandeppanavar, Hussain Basha, Sheetal Udgiri
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems (2024)
Closed Access | Times Cited: 1
VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view
Nicola Mosca, Vito Renò, Massimiliano Nitti, et al.
Results in Engineering (2024) Vol. 24, pp. 103168-103168
Closed Access | Times Cited: 1
Prediction of anaerobic digestion performance by quantum convolutional reconstruction gated recurrent neural network*
Dong Hou, Xuanxuan Che, Li Fei-Fei, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 055121-055121
Open Access
A novel cosine-derived probability distribution: Theory and data modeling with computer knowledge graph
Jianping Zhu, Xuxun Cai, Eslam Hussam, et al.
Alexandria Engineering Journal (2024) Vol. 103, pp. 1-11
Open Access
Weak nonlinear thermo bioconvection: Heat transfer via artificial neural network
Sanjalee Maheshwari, Y. D. Sharma, O. P. Yadav, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108090-108090
Closed Access
Estimation of the incidence of inefficiency using bootstrap and Bayesian estimators
Mehmet ÜNSAL, Daniel Friesner, Robert Rosenman, et al.
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access
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