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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:

Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid
Ibrahim M. Alarifi, Hoàng M. Nguyẽn, Ali Naderi, et al.
Materials (2019) Vol. 12, Iss. 21, pp. 3628-3628
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

An updated review of nanofluids in various heat transfer devices
Eric C. Okonkwo, Ifeoluwa Wole‐Osho, Ismail W. Almanassra, et al.
Journal of Thermal Analysis and Calorimetry (2020) Vol. 145, Iss. 6, pp. 2817-2872
Open Access | Times Cited: 304
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning
Chunyang Xia, Zengxi Pan, Joseph Polden, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 5, pp. 1467-1482
Closed Access | Times Cited: 172
An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid
Amin Asadi, Ibrahim M. Alarifi, Loke Kok Foong
Journal of Molecular Liquids (2020) Vol. 307, pp. 112987-112987
Closed Access | Times Cited: 155
Battery thermal management systems based on nanofluids for electric vehicles
Mohammad Ali Abdelkareem, Hussein M. Maghrabie, Ahmed G. Abo‐Khalil, et al.
Journal of Energy Storage (2022) Vol. 50, pp. 104385-104385
Closed Access | Times Cited: 92
Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization
Mohammad Reza Akbarzadeh, Hossein Ghafourian, Arsalan Anvari, et al.
Materials (2023) Vol. 16, Iss. 11, pp. 4200-4200
Open Access | Times Cited: 58
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
Experimental study for predicting the specific heat of water based Cu‐Al 2 O 3 hybrid nanofluid using artificial neural network and proposing new correlation
Andaç Batur Çolak, Oğuzhan Yıldız, Mustafa Bayrak, et al.
International Journal of Energy Research (2020) Vol. 44, Iss. 9, pp. 7198-7215
Open Access | Times Cited: 107
On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach
Mehdi Jamei, Iman Ahmadianfar, Ismail Adewale Olumegbon, et al.
Journal of Energy Storage (2020) Vol. 33, pp. 102067-102067
Closed Access | Times Cited: 95
A review on applications of artificial intelligence in modeling and optimization of laser beam machining
Ali Naderi, Zhiwen Wang, Liyong Wang, et al.
Optics & Laser Technology (2020) Vol. 135, pp. 106721-106721
Closed Access | Times Cited: 90
Magnetohydrodynamic flow of Cu–Fe3O4/H2O hybrid nanofluid with effect of viscous dissipation: dual similarity solutions
Liaquat Ali Lund, Zurni Omar, Jawad Raza, et al.
Journal of Thermal Analysis and Calorimetry (2020) Vol. 143, Iss. 2, pp. 915-927
Closed Access | Times Cited: 85
Machine learning-based approaches for modeling thermophysical properties of hybrid nanofluids: A comprehensive review
Akbar Maleki, Arman Haghighi, Ibrahim Mahariq
Journal of Molecular Liquids (2020) Vol. 322, pp. 114843-114843
Closed Access | Times Cited: 82
On the natural convection of nanofluids in diverse shapes of enclosures: an exhaustive review
M.S. Sadeghi, Naghmeh Anadalibkhah, Ramin Ghasemiasl, et al.
Journal of Thermal Analysis and Calorimetry (2020) Vol. 147, Iss. 1, pp. 1-22
Closed Access | Times Cited: 78
Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study
Mohammad Mehdi Rashidi, Mohammad Alhuyi Nazari, Ibrahim Mahariq, et al.
Nanomaterials (2021) Vol. 11, Iss. 11, pp. 3084-3084
Open Access | Times Cited: 74
Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods
Mehdi Jamei, Masoud Karbasi, Ismail Adewale Olumegbon, et al.
Journal of Molecular Liquids (2021) Vol. 335, pp. 116434-116434
Closed Access | Times Cited: 59
A novel empirical equation for the effective viscosity of nanofluids based on theoretical and empirical results
Mohamad Klazly, Gabriella Bognár
International Communications in Heat and Mass Transfer (2022) Vol. 135, pp. 106054-106054
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
An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids
Ifeoluwa Wole‐Osho, Eric C. Okonkwo, Humphrey Adun, et al.
Journal of Thermal Analysis and Calorimetry (2020) Vol. 144, Iss. 3, pp. 671-688
Open Access | Times Cited: 67
Advances in electrode and electrolyte improvements in vanadium redox flow batteries with a focus on the nanofluidic electrolyte approach
Sadegh Aberoumand, Peter Woodfield, Bahman Shabani, et al.
Physics Reports (2020) Vol. 881, pp. 1-49
Closed Access | Times Cited: 61
MHD Bioconvection Flow and Heat Transfer of Nanofluid through an Exponentially Stretchable Sheet
M. Ferdows, Khairy Zaimi, A. M. Rashad, et al.
Symmetry (2020) Vol. 12, Iss. 5, pp. 692-692
Open Access | Times Cited: 57
A neural network-based predictive model for the thermal conductivity of hybrid nanofluids
Humphrey Adun, Ifeoluwa Wole‐Osho, Eric C. Okonkwo, et al.
International Communications in Heat and Mass Transfer (2020) Vol. 119, pp. 104930-104930
Open Access | Times Cited: 57
Thermal and Fluid Dynamics Performance of MWCNT-Water Nanofluid Based on Thermophysical Properties: An Experimental and Theoretical Study
Zongjie Lyu, Amin Asadi, Ibrahim M. Alarifi, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 55
Effect of concentration and sedimentation on boiling heat transfer coefficient of GNPs-SiO2/deionized water hybrid Nanofluid: An experimental investigation
Mingyang Huang, Hosein Borzoei, Ali Abdollahi, et al.
International Communications in Heat and Mass Transfer (2021) Vol. 122, pp. 105141-105141
Closed Access | Times Cited: 50
Fuzzy modeling and particle swarm optimization of Al2O3/SiO2 nanofluid
Tareq Salameh, Polamarasetty P Kumar, Enas Taha Sayed, et al.
International Journal of Thermofluids (2021) Vol. 10, pp. 100084-100084
Open Access | Times Cited: 50
Modeling of carbon dioxide fixation by microalgae using hybrid artificial intelligence (AI) and fuzzy logic (FL) methods and optimization by genetic algorithm (GA)
Omkar Singh Kushwaha, Haripriyan Uthayakumar, K. Kumaresan
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 10, pp. 24927-24948
Closed Access | Times Cited: 37
A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level
Zahra Kayhomayoon, Faezeh Babaeian, Sami Ghordoyee Milan, et al.
Water (2022) Vol. 14, Iss. 5, pp. 751-751
Open Access | Times Cited: 35
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