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 1-25 of 52 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: 242

Synthesis, stability, thermophysical properties and heat transfer applications of nanofluid – A review
Bhavin Mehta, Dattatraya Subhedar, Hitesh Panchal, et al.
Journal of Molecular Liquids (2022) Vol. 364, pp. 120034-120034
Closed Access | Times Cited: 130

Viscosity and rheological behavior of Al2O3-Fe2O3/water-EG based hybrid nanofluid: A new correlation based on mixture ratio
V. Vicki Wanatasanappan, Praveen Kumar Kanti, Prabhakar Sharma, et al.
Journal of Molecular Liquids (2023) Vol. 375, pp. 121365-121365
Closed Access | Times Cited: 60

Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making
Tao Zhang, Anahita Manafi Khajeh Pasha, S. Mohammad Sajadi, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 150059-150059
Closed Access | Times Cited: 23

Hybrid nanofluids preparation, thermo-physical properties, and applications: A Review
Bikram Singh, Shilpa Sood
Hybrid Advances (2024) Vol. 6, pp. 100192-100192
Open Access | Times Cited: 16

Experimental analysis of novel ionic liquid-MXene hybrid nanofluid's energy storage properties: Model-prediction using modern ensemble machine learning methods
Zafar Said, Prabhakar Sharma, Navid Aslfattahi, et al.
Journal of Energy Storage (2022) Vol. 52, pp. 104858-104858
Closed Access | Times Cited: 65

Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning techniques
Zafar Said, Prabhakar Sharma, Rajvikram Madurai Elavarasan, et al.
Journal of Energy Storage (2022) Vol. 54, pp. 105230-105230
Closed Access | Times Cited: 64

A critical review of specific heat capacity of hybrid nanofluids for thermal energy applications
Humphrey Adun, Ifeoluwa Wole‐Osho, Eric C. Okonkwo, et al.
Journal of Molecular Liquids (2021) Vol. 340, pp. 116890-116890
Closed Access | Times Cited: 59

Radiation effect on unsteady MHD mixed convection of kerosene oil-based CNT nanofluid using finite element analysis
Rumman Hossain, Md. Abul Kalam Azad, Md. Jahid Hasan, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 11, pp. 8525-8543
Open Access | Times Cited: 45

Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe 3 O 4 ‐coated MWCNT hybrid nanofluids for potential application in energy systems
Prabhakar Sharma, Zafar Said, Saim Memon, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 13, pp. 19242-19257
Open Access | Times Cited: 44

Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Zhongwei Zhang, Mohammed Al‐Bahrani, Behrooz Ruhani, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144362-144362
Closed Access | Times Cited: 35

Rheological and thermophysical properties of hybrid nanofluids and their application in flat-plate solar collectors: a comprehensive review
Mohanad A. Alfellag, Haslinda Mohamed Kamar, Nor Azwadi Che Sidik, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 14, pp. 6645-6686
Closed Access | Times Cited: 23

Optimizing mixing ratio of multi-walled carbon nanotubes and titanium dioxide: A green approach to high-performance hybrid nanofluids for heat transfer
Mohanad A. Alfellag, Haslinda Mohamed Kamar, Ummikalsom Abidin, et al.
Powder Technology (2024) Vol. 436, pp. 119509-119509
Closed Access | Times Cited: 9

Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption
K. Praveen Kumar, Rohit S. Khedkar, Prabhakar Sharma, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104087-104087
Open Access | Times Cited: 8

A critical review of the thermophysical properties and applications of carbon-based hybrid nanofluids in solar thermal systems
Adeola Borode, Thato Tshephe, Peter Apata Olubambi
Frontiers in Energy Research (2025) Vol. 12
Open Access | Times Cited: 1

Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques
Mehdi Jamei, Masoud Karbasi, Mehdi Mosharaf‐Dehkordi, et al.
Measurement (2021) Vol. 189, pp. 110524-110524
Closed Access | Times Cited: 47

Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN)
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab, Davood Toghraie
Powder Technology (2022) Vol. 400, pp. 117210-117210
Closed Access | Times Cited: 33

Enhancing thermal conductivity of water/CeO2-MWCNTs hybrid nanofluid: experimental insights and artificial neural network modeling
Saeed Alqaed, Jawed Mustafa, S. Mohammad Sajadi, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 9, pp. 4019-4031
Closed Access | Times Cited: 6

A unique artificial intelligence approach and mathematical model to accurately evaluate viscosity and density of several nanofluids from experimental data
Shiva Singh, Subrata Kumar Ghosh
Colloids and Surfaces A Physicochemical and Engineering Aspects (2022) Vol. 640, pp. 128389-128389
Closed Access | Times Cited: 26

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

Heat transfer evaluation of combined nanofluids in vertical annulus: An experimental and artificial neural network approach
Mohammad Amin Borhani, Amir Saeed Shirani, M. Talebi, et al.
Progress in Nuclear Energy (2024) Vol. 175, pp. 105339-105339
Closed Access | Times Cited: 4

Impact of hybrid and mono nanofluids on the cooling performance of lithium-ion batteries: Experimental and machine learning insights
Praveen Kumar Kanti, Edmond Soong Jia Yang, V. Vicki Wanatasanappan, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113613-113613
Closed Access | Times Cited: 4

Anti-wear behaviors of nanofluids at the micro-textured tool/chip interface of CBN tools with electromagnetic field effects
Kedong Zhang, M.H. Jiang, Haishan Li, et al.
Wear (2025), pp. 205735-205735
Closed Access

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

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