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:

Laboratory investigation of GO-SA-MWCNTs ternary hybrid nanoparticles efficacy on dynamic viscosity and wear properties of oil (5W30) and modeling based on machine learning
Mojtaba Sepehrnia, Somayeh Davoodabadi Farahani, Abolfazl Hamidi Arani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Yunyan Shang, Karrar A. Hammoodi, As’ad Alizadeh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 164, pp. 105673-105673
Closed Access | Times Cited: 9

Thermal equilibrium time as a novel characteristic of nanofluid evaluation: An experimental investigation of distilled water-based binary and ternary nanofluids
Ahssan M.A. Alshibil, Piroska Víg, I. Farkas
Journal of Molecular Liquids (2024) Vol. 400, pp. 124567-124567
Open Access | Times Cited: 4

Experimental and Predictive Modeling of Dynamic Viscosity in Novel Hybrid Nanolubricants Using Correlation and ANN Approaches
Siraj Azam, Sang‐Shin Park
Arabian Journal for Science and Engineering (2025)
Closed Access

Friction and wear properties of wide-velocity range high-energy plasma sprayed CuSn-NiCr solid self-lubricating coatings under heavy load
Yu Wang, Ying Wang, Guanghua Liu, et al.
Wear (2024) Vol. 550-551, pp. 205417-205417
Closed Access | Times Cited: 3

Exploring the role of carbon nano additives in compression ignition engines: A comprehensive review on combustion characteristics
Esmail Khalife, Dhinesh Balasubramanian, Ayat Gharehghani, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119008-119008
Closed Access | Times Cited: 2

A feed-forward artificial neural network with several training methods and various geometries for predicting the rheological behavior of Al2O3/ethylene glycol-water hybrid nanofluid
S. Ali Eftekhari, Maboud Hekmatifar, Davood Toghraie, et al.
Ain Shams Engineering Journal (2023) Vol. 14, Iss. 11, pp. 102555-102555
Open Access | Times Cited: 3

Twofold Machine-Learning and Molecular Dynamics: A Computational Framework
Christos Stavrogiannis, Filippos Sofos, Maria Sagri, et al.
Computers (2023) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 2

Artificial intelligence approach in mixed convection heat transfer under transverse mechanical vibrations in a rectangular cavity
Somayeh Davoodabadi Farahani, As’ad Alizadeh, Mohammed A. Tashkandi, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 11, pp. 103012-103012
Open Access

Rheological modeling of MWCNT-Al₂O₃ hybrid nanofluid using cascade forward neural network method
Mohammad Javad Kholoud, Noushin Mahmoudi Soumar, Amin Torabi Jahromi, et al.
Diamond and Related Materials (2024) Vol. 151, pp. 111796-111796
Closed Access

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