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:
Application of Machine Learning Algorithms in Predicting Rheological Behavior of BN-diamond/Thermal Oil Hybrid Nanofluids
Abulhassan Ali, Nawal Noshad, Abhishek Kumar, et al.
Fluids (2024) Vol. 9, Iss. 1, pp. 20-20
Open Access | Times Cited: 4
Abulhassan Ali, Nawal Noshad, Abhishek Kumar, et al.
Fluids (2024) Vol. 9, Iss. 1, pp. 20-20
Open Access | Times Cited: 4
Showing 4 citing articles:
Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant
Xiedong Song, Mohammadreza Baghoolizadeh, As’ad Alizadeh, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 156, pp. 107634-107634
Closed Access | Times Cited: 9
Xiedong Song, Mohammadreza Baghoolizadeh, As’ad Alizadeh, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 156, pp. 107634-107634
Closed Access | Times Cited: 9
Rheological behavior predictions of non-Newtonian nanofluids via correlations and artificial neural network for thermal applications
Nik Eirdhina Binti Nik Salimi, Suhaib Umer Ilyas, Syed Ali Ammar Taqvi, et al.
Digital Chemical Engineering (2024) Vol. 12, pp. 100170-100170
Open Access | Times Cited: 3
Nik Eirdhina Binti Nik Salimi, Suhaib Umer Ilyas, Syed Ali Ammar Taqvi, et al.
Digital Chemical Engineering (2024) Vol. 12, pp. 100170-100170
Open Access | Times Cited: 3
Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration
Cheah Jason, Suhaib Umer Ilyas, Syahrir Ridha, et al.
Lecture notes in civil engineering (2024), pp. 469-477
Closed Access
Cheah Jason, Suhaib Umer Ilyas, Syahrir Ridha, et al.
Lecture notes in civil engineering (2024), pp. 469-477
Closed Access
Advances in nanofluid flow, heat, and mass transfer at moving/stretching surfaces
K. Vajravelu, John Abraham, Swati Mukhopadhyay, et al.
Advances in heat transfer (2024), pp. 81-154
Closed Access
K. Vajravelu, John Abraham, Swati Mukhopadhyay, et al.
Advances in heat transfer (2024), pp. 81-154
Closed Access
