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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 unique artificial intelligence approach and mathematical model to accurately evaluate viscosity and density of several nanofluids from experimental data
Shiva Singh, Subrata Kumar Ghosh
Colloids and Surfaces A Physicochemical and Engineering Aspects (2022) Vol. 640, pp. 128389-128389
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System
Prabhakar Sharma, Zafar Said, Anurag Kumar, et al.
Energy & Fuels (2022) Vol. 36, Iss. 13, pp. 6626-6658
Closed Access | Times Cited: 243
A class of promising fuel cell performance: International status on the application of nanofluids for thermal management systems
A.G.N. Sofiah, Jagadeesh Pasupuleti, M. Samykano, et al.
Materials Today Sustainability (2024) Vol. 26, pp. 100709-100709
Closed Access | Times Cited: 18
A review of multifunctional applications of nanofluids in solar energy
Lei Sun, Liu Yang, Ning Zhao, et al.
Powder Technology (2022) Vol. 411, pp. 117932-117932
Closed Access | Times Cited: 38
Model of aircraft maintenance repair and overhaul using artificial neural networks
B. B. Safoklov, Denis Prokopenko, Yury Deniskin, et al.
Transportation research procedia (2022) Vol. 63, pp. 1534-1543
Open Access | Times Cited: 33
The effects of nanofluid thermophysical properties on enhanced oil recovery in a heterogenous porous media
Abdullah Al-Yaari, Dennis Ling Chuan Ching, Hamzah Sakidin, et al.
Case Studies in Chemical and Environmental Engineering (2023) Vol. 9, pp. 100556-100556
Open Access | Times Cited: 19
A new empirical model for accurate investigation of rheological behavior of MWCNT/oxide nanoparticles-engine oil hybrid nano-lubricants
Mehdi Rahmati, Abbas Ayatizadeh Tanha, Seyedeh Khadijeh Abolfazli
Tribology International (2023) Vol. 182, pp. 108337-108337
Closed Access | Times Cited: 13
Mathematical and artificial neural network modeling to predict the heat transfer of mixed convective electroosmotic nanofluid flow with Helmholtz-Smoluchowski velocity and multiple slip effects: An application of soft computing
Shan Ali Khan, Umar Farooq, Muhammad Imran, et al.
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 104950-104950
Open Access | Times Cited: 5
Prediction of the viscosity of iron-CuO/water-ethylene glycol non-Newtonian hybrid nanofluids using different machine learning algorithms
Mohammed Shorbaz Graish, Ali B.M. Ali, Murtadha M. Al-Zahiwat, et al.
Case Studies in Chemical and Environmental Engineering (2025), pp. 101180-101180
Open Access
Exploring the impact of particle stability, size, and morphology on nanofluid thermal conductivity: A comprehensive review for energy applications
Sajid Farooq, Muhammad Habib, Olavo Cardozo, et al.
Advances in Colloid and Interface Science (2025), pp. 103495-103495
Closed Access
Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
Yazeed AbuShanab, Wahib A. Al‐Ammari, Samer Gowid, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16716-e16716
Open Access | Times Cited: 11
Uncertainty evaluation in density and viscosity of nanofluids at different temperatures using Gaussian process regression-based Monte-Carlo simulations
Aman Garg, Anshu Sharma, Li Li, et al.
Journal of Molecular Liquids (2024) Vol. 411, pp. 125794-125794
Closed Access | Times Cited: 3
Experimental exploration of rheological behavior of polyethylene glycol-carbon dot nanofluid: Introducing a robust artificial intelligence paradigm optimized with unscented Kalman filter technique
Amin Shahsavar, Mohamad Amin Mirzaei, Aidin Shaham, et al.
Journal of Molecular Liquids (2022) Vol. 358, pp. 119198-119198
Closed Access | Times Cited: 14
Modeling the viscosity of ionic liquids using combined friction theory with perturbed hard-chain equation of state and neural network approaches
H. Moslehi, S.M. Hosseini, Mariano Pierantozzi, et al.
Journal of Molecular Liquids (2023) Vol. 383, pp. 122004-122004
Closed Access | Times Cited: 7
On the evaluation of mono-nanofluids’ density using a radial basis function neural network optimized by evolutionary algorithms
Omid Deymi, Farzaneh Rezaei, Saeid Atashrouz, et al.
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102750-102750
Closed Access | Times Cited: 2
Dynamic Viscosity Prediction for MWCNT-MgO (10%-90%) -SAE40 Oil Hybrid Nano-lubricant Using Artificial Neural Network and Multi-Dimensional Nonlinear Least Square Curve Fitting
Xiaojian Lin, Ali Basem, Mortatha Al‐Yasiri, et al.
Chinese Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 2
Advances in nanofluids for tubular heat exchangers: Thermal performance, environmental effects, economics and outlook
Tauseef‐ur Rehman, Cheol Woo Park
Energy (2024) Vol. 308, pp. 132732-132732
Closed Access | Times Cited: 2
A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
Abdullah Al-Yaari, Dennis Ling Chuan Ching, Hamzah Sakidin, et al.
Materials (2023) Vol. 16, Iss. 15, pp. 5414-5414
Open Access | Times Cited: 6
Investigation the effects of different nanoparticles on density and specific heat: Prediction using MLP artificial neural network and response surface methodology
Mohammad Hemmat Esfe, Sayyid Majid Motallebi, Davood Toghraie
Colloids and Surfaces A Physicochemical and Engineering Aspects (2022) Vol. 645, pp. 128808-128808
Closed Access | Times Cited: 10
Numerical analysis of the chemically reactive EMHD flow of a nanofluid past a bi-directional Riga plate influenced by velocity slips and convective boundary conditions
Ebrahem A. Algehyne, Amal F. Alharbi, Anwar Saeed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Synthesis of nanofluids preparation – A review
Ravi Kiran Mudidana, M. Vijay, V. Rambabu
Materials Today Proceedings (2023)
Closed Access | Times Cited: 5
Development of predictive models for density of hybrid nanofluids using different machine learning techniques
Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Priya Mathur, Mojeed O. Oyedeji, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2022) Vol. 237, Iss. 5, pp. 1722-1739
Closed Access | Times Cited: 8
Multiphase numerical simulation in mini-channel heat exchangers using hybrid nanofluid
Shiva Singh, Subrata Kumar Ghosh
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 20, pp. 11255-11267
Closed Access | Times Cited: 4
The heating effect on tribological behaviour in the hot rolling process using TiO2 oil-in-water emulsion - A comparative study
Ritesh Kumar Patel, Sidhant Kumar Sabar, Subrata Kumar Ghosh
Powder Technology (2023) Vol. 432, pp. 119112-119112
Closed Access | Times Cited: 4
Influence of chevron angle and MWCNT/distilled water nanofluid on the thermo-hydraulic performance of compact plate heat exchanger: An experimental and numerical study
Shiva Singh, Subrata Kumar Ghosh
Powder Technology (2022) Vol. 405, pp. 117515-117515
Closed Access | Times Cited: 7
A comprehensive study to predict the rheological behavior of different hybrid nano-lubricants: A novel RSM-based analysis
Mohammad Hemmat Esfe, Saeed Esfandeh, Sayyid Majid Motallebi, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2022) Vol. 646, pp. 128886-128886
Closed Access | Times Cited: 6
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