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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:

Efficacy evaluation of oxide-MWCNT water hybrid nanofluids: An experimental and artificial neural network approach
Vikas Kumar, Ashutosh Pare, Arun Kumar Tiwari, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2021) Vol. 620, pp. 126562-126562
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Hydrothermal performance analysis of hybrid nanofluid flow in minichannel heat sink equipped with secondary inclined channels and pins
H. K. Dawood, Mohanad A. Alfellag, Waleed M. Abed, et al.
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access
Exploring the thermo-physical characteristic of novel multi-wall carbon nanotube—Therminol-55-based nanofluids for solar-thermal applications
P. Ganesh Kumar, Sakthivadivel Duraiswamy, Rajendran Prabakaran, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 7, pp. 10717-10728
Closed Access | Times Cited: 25
Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques
Mojtaba Sepehrnia, Mohammad Lotfalipour, Mahdi Malekiyan, et al.
Nanoscale Research Letters (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 16
Optimizing the thermophysical behavior of a novel ternary hybrid nanofluid for energy applications through experimental research
Humphrey Adun, Muhammad Abid, Doğa Kavaz, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32728-e32728
Open Access | Times Cited: 3
Investigation of the Thermal Conductivity, Viscosity, and Thermal Performance of Graphene Nanoplatelet-Alumina Hybrid Nanofluid in a Differentially Heated Cavity
Adeola Borode, Noor A. Ahmed, Peter Apata Olubambi, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 22
Shape-factor and radiative flux impacts on unsteady graphene–copper hybrid nanofluid with entropy optimisation: Cattaneo–Christov heat flux theory
Wasim Jamshed, Rabia Safdar, Rabha W. Ibrahim, et al.
Pramana (2022) Vol. 96, Iss. 3
Closed Access | Times Cited: 14
APPLICABILITY OF MACHINE LEARNING TECHNIQUES IN PREDICTING SPECIFIC HEAT CAPACITY OF COMPLEX NANOFLUIDS
Young‐Suk Oh, Zhixiong Guo
Heat Transfer Research (2023) Vol. 55, Iss. 3, pp. 39-60
Closed Access | Times Cited: 7
Machine Learning Approach for Thermal Characteristics and Improvement of Heat Transfer of Nanofluids—A Review
Harishchandra Patel, Dwesh K. Singh, Om Prakash, et al.
Lecture notes in networks and systems (2024), pp. 227-233
Closed Access | Times Cited: 2
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
GBR-GSO based machine learning predictive model for estimating density of Al2N3, Si3N4, and TiN nanoparticles suspended in ethylene glycol nanofluids
Hari Mohan Singh, Durga Prasad Sharma, Ibrahim Olanrewaju Alade
The European Physical Journal Plus (2022) Vol. 137, Iss. 5
Closed Access | Times Cited: 12
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
Zinc oxide–silver/water hybrid nanofluid flow toward an off‐centered rotating disk using temperature‐dependent experimental‐based thermal conductivity
Seyed Mahdi Mousavi, Mohammad Yousefi, Mohammadreza Nademi Rostami, et al.
Heat Transfer (2022) Vol. 51, Iss. 5, pp. 4169-4186
Closed Access | Times Cited: 9
Thermophysical and rheological properties of unitary and hybrid nanofluids
Hatice Mercan, Ali Çelen, Tolga Taner
Elsevier eBooks (2022), pp. 95-129
Closed Access | Times Cited: 8
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
Hybrid nanocomposites impact on heat transfer efficiency and pressure drop in turbulent flow systems: application of numerical and machine learning insights
Tao Hai, Mohammed Suleman Aldlemy, Raad Z. Homod, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Hybrid Nanofluids in Solar Thermal Collectors: Size and Cost Reduction Opportunities
Phongpapop Kitisomkiat, Chaiyanan Kamsuwan, Alireza Rahbari, et al.
Journal of Advanced Research in Numerical Heat Transfer (2024) Vol. 28, Iss. 1, pp. 80-93
Closed Access | Times Cited: 1
Turbulent forced convection flow of water-based nanofluids with temperature-dependent properties over backward-facing step channel with upwardly deflected downstream wall
Mahmoud Jourabian, Mehrdad Raeesi
Numerical Heat Transfer Part A Applications (2023), pp. 1-30
Closed Access | Times Cited: 2
A state of art review of the viscosity behavior of nano-lubricants containing MWCNT nanoparticles: Focusing on engine lubrication goals
Milad Goodarzi, Saeed Esfandeh, Davood Toghraie
Journal of Molecular Liquids (2021) Vol. 346, pp. 118264-118264
Closed Access | Times Cited: 4
Ultra-Thin, Bendable PbS Photodetector on Paper for High-Performance Infrared Sensing
Mohammed Y.H. Thabit, Nabeel M.S. Kaawash, Devidas I. Halge, et al.
Journal of Electronic Materials (2024) Vol. 53, Iss. 11, pp. 6986-6992
Closed Access
Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al2O3/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects
Tarikul Islam, Sílvio Gama, Marco Martins Afonso
Mathematics (2024) Vol. 13, Iss. 1, pp. 78-78
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
Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids
Priya Mathur, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Deepak Panwar, et al.
Expert Systems (2023) Vol. 41, Iss. 1
Open Access | Times Cited: 1
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

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