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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:

Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction
Humphrey Adun, Ifeoluwa Wole‐Osho, Eric C. Okonkwo, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 11233-11254
Open Access | Times Cited: 17

Showing 17 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
On the hydrothermal behavior and entropy analysis of buoyancy driven magnetohydrodynamic hybrid nanofluid flow within an octagonal enclosure fitted with fins: Application to thermal energy storage
Nilankush Acharya
Journal of Energy Storage (2022) Vol. 53, pp. 105198-105198
Closed Access | Times Cited: 139
A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
Biomethane Production from the Mixture of Sugarcane Vinasse, Solid Waste and Spent Tea Waste: A Bayesian Approach for Hyperparameter Optimization for Gaussian Process Regression
Mansoor Alruqi, Prabhakar Sharma
Fermentation (2023) Vol. 9, Iss. 2, pp. 120-120
Open Access | Times Cited: 23
Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 6
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
A novel empirical effective viscosity equation for hybrid nanofluids
Mohamad Klazly, Gabriella Bognár
Journal of Molecular Liquids (2025), pp. 127404-127404
Closed Access
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
Prediction of nanofluid thermal conductivity and viscosity with machine learning and molecular dynamics
Freddy Ajila, Saravanan Manokaran, Kanimozhi Ramaswamy, et al.
Thermal Science (2024) Vol. 28, Iss. 1 Part B, pp. 717-729
Open Access | Times Cited: 2
Machine learning methods for modeling nanofluid flows: a comprehensive review with emphasis on compact heat transfer devices for electronic device cooling
M. S. Abhijith, K. P. Soman
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 12, pp. 5843-5869
Closed Access | Times Cited: 2
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
Predicting thermophysical properties of alkanes and refrigerants using machine learning algorithms
Kiran Rathod, Sai Charan Ravula, Prasanna Sai Chandra Kommireddi, et al.
Fluid Phase Equilibria (2023) Vol. 578, pp. 114016-114016
Closed Access | Times Cited: 4
Thermal and Energy Transport Prediction in Non-Newtonian Biomagnetic Hybrid Nanofluids using Gaussian Process Regression
S. Gopi Krishna, M. Shanmugapriya, B. Rushi Kumar, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 8, pp. 11737-11761
Closed Access | Times Cited: 1
Predictive Modeling of Bioenergy Production from Fountain Grass Using Gaussian Process Regression: Effect of Kernel Functions
SK Safdar Hossain, Bamidele Victor Ayodele, Abdulrahman Almithn
Energies (2022) Vol. 15, Iss. 15, pp. 5570-5570
Open Access | Times Cited: 4
Fluid Viscosity and Density Determination With Machine Learning-Enhanced Coriolis Mass Flow Sensors
Romas Zubavicius, Dennis Alveringh, Mannes Poel, et al.
(2024), pp. 82-85
Closed Access
Effect of applying serpentine channels and hybrid nanofluid for thermal management of photovoltaic cell: Numerical simulation, ANN and sensitivity analysis
Ali Basem, Mohammad Alhuyi Nazari, Ali Mehrabi, et al.
Renewable Energy (2024) Vol. 232, pp. 121077-121077
Closed Access
Predictive performance of thermophysical properties of supercritical carbon dioxide using Gaussian process regression and deep learning
Mingshuo Zhou, Chenxu Ni, Xingjian Wang
Proceedings (2023)
Open Access | Times Cited: 1
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