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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 thermal conductivity model (ANN) for nanofluid based on experimental study
Ashutosh Pare, Subrata Kumar Ghosh
Powder Technology (2020) Vol. 377, pp. 429-438
Closed Access | Times Cited: 62

Showing 51-75 of 62 citing articles:

Insights into the Estimation of the Enhanced Thermal Conductivity of Phase Change Material-Containing Oxide Nanoparticles using Gaussian Process Regression Method
Tzu-Chia Chen, Hasan Sh. Majdi, Aras Masood Ismael, et al.
International Journal of Chemical Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 5
Experimental Performance Evaluation and Artificial-Neural-Network Modeling of ZnO-CuO/EG-W Hybrid Nanofluids
Yuling Zhai, Long Li, Zihao Xuan, et al.
Fluid dynamics & materials processing (2022) Vol. 18, Iss. 3, pp. 629-646
Open Access | Times Cited: 3
A critical analysis and prediction of heat transfer and flow characteristics in the sudden expansion channel with square block using machine learning
V Murugashri, P Balavignesh, P. Rahul, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-25
Closed Access
Optimization of process parameters by Taguchi based grey relational analysis in machining of AISI 4340 using hybrid nanofluids MQL
Rahul Bhedasgaonkar, Uday A. Dabade
AIP conference proceedings (2024) Vol. 3122, pp. 100023-100023
Closed Access
Development of a predictive model for thermal conductivity in graphene nanoplatelets-infused damper oil using ANN/RSM
S. Manikandan, A. Nanthakumar
Thermal Science (2024) Vol. 28, Iss. 5 Part B, pp. 4235-4247
Open Access
Thermophysical Properties, and Figures-of-Merit Analyses of nanodiamond/CuO Ionanofluids: Experimental and Artificial Neural Network Predictions
L. Syam Sundar, Sérgio M. O. Tavares, E. Venkata Ramana, et al.
Journal of Ionic Liquids (2024), pp. 100113-100113
Open Access
Machine learning-based predictions of nanofluid thermal properties
Young‐Suk Oh, Zhixiong Guo
Heat Transfer Research (2024) Vol. 55, Iss. 18, pp. 1-26
Closed Access
Stacked Heterogeneous Ensemble Learning Model in Mixed Convection Heat Transfer from a Vertically Oscillating Flat Plate
Selma Akçay, Selim Buyrukoğlu, Ünal Akdağ
Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023) Vol. 6, Iss. 1, pp. 635-654
Open Access
Development of a neural architecture to predict the thermal conductivity of nanofluids
Iraj Shahrivar, Ashkan Ghafouri, Zahra Niazi
Research Square (Research Square) (2023)
Open Access
Prediction of Sinter Properties Using a Hyper-Parameter-Tuned Artificial Neural Network
Soumya Sahoo, Ashutosh Pare, Subhabrata Mishra, et al.
ACS Omega (2023) Vol. 8, Iss. 13, pp. 11782-11789
Open Access
Development of a neural architecture to predict the thermal conductivity of nanofluids
Iraj Shahrivar, Ashkan Ghafouri, Zahra Niazi, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 12
Open Access
Heat Transfer Analysis of Different Coolant in the Waist Tubes of a Radiator and Performance Prediction Based on Artificial Neural Network
Yi Liu, Zongpeng Ma, Ying Huang
International Journal of Heat and Technology (2022) Vol. 40, Iss. 1, pp. 267-272
Open Access
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