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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:

Current Trends in Fluid Research in the Era of Artificial Intelligence: A Review
Filippos Sofos, Christos Stavrogiannis, Kalliopi K. Exarchou-Kouveli, et al.
Fluids (2022) Vol. 7, Iss. 3, pp. 116-116
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Enhancing property prediction and process optimization in building materials through machine learning: A review
Konstantinos I. Stergiou, Charis Ntakolia, Paris Varytis, et al.
Computational Materials Science (2023) Vol. 220, pp. 112031-112031
Open Access | Times Cited: 86
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 63
Intelligent computing for electromagnetohydrodynamic bioconvection flow of micropolar nanofluid with thermal radiation and stratification: Levenberg–Marquardt backpropagation algorithm
Zeeshan Khan, Wafa F. Alfwzan, Aatif Ali, et al.
AIP Advances (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 14
Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing
Mustafa A. Alawsi, Salah L. Zubaidi, Nabeel Saleem Saad Al-Bdairi, et al.
Hydrology (2022) Vol. 9, Iss. 7, pp. 115-115
Open Access | Times Cited: 46
Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow
Fabian Pioch, Jan Hauke Harmening, Andreas Maximilian Müller, et al.
Fluids (2023) Vol. 8, Iss. 2, pp. 43-43
Open Access | Times Cited: 30
Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures
Fabian Jirasek, Hans Hasse
Annual Review of Chemical and Biomolecular Engineering (2023) Vol. 14, Iss. 1, pp. 31-51
Open Access | Times Cited: 28
Can Artificial Intelligence Accelerate Fluid Mechanics Research?
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 26
Machine learning-based CFD simulations: a review, models, open threats, and future tactics
Dhruvil Panchigar, Kunal Kar, Shashank Shukla, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 21677-21700
Closed Access | Times Cited: 29
Computer Simulation and Speedup of Solving Heat Transfer Problems of Heating and Melting Metal Particles with Laser Radiation
Agris Gulevskis, Konstantin Volkov
Computers (2025) Vol. 14, Iss. 2, pp. 47-47
Open Access
Low Capillary Elastic Flow Model Optimization Using the Lattice Boltzmann Method and Non-Dominated Sorting Genetic Algorithm
Yaqi Hou, Wei Zhang, Jiahua Hu, et al.
Micromachines (2025) Vol. 16, Iss. 3, pp. 298-298
Open Access
A combined clustering/symbolic regression framework for fluid property prediction
Filippos Sofos, Avraam Charakopoulos, Konstantinos Papastamatiou, et al.
Physics of Fluids (2022) Vol. 34, Iss. 6
Closed Access | Times Cited: 22
Symbolic regression development of empirical equations for diffusion in Lennard-Jones fluids
Todd M. Alam, Joshua P. Allers, Calen J. Leverant, et al.
The Journal of Chemical Physics (2022) Vol. 157, Iss. 1
Open Access | Times Cited: 20
The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches
Theodoros E. Karakasidis, Filippos Sofos, Christos Tsonos
Fluids (2022) Vol. 7, Iss. 10, pp. 321-321
Open Access | Times Cited: 18
CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
Jianxun Wang, Pan Du, Meet Hemant Parikh, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Flame front dynamics, shape and structure on acceleration and deflagration-to-detonation transition
P. N. Krivosheyev, Alexey O. Novitski, O. G. Penyazkov
Acta Astronautica (2022) Vol. 204, pp. 692-704
Closed Access | Times Cited: 15
A physically consistent AI-based SPH emulator for computational fluid dynamics
Eleonora Amato, Vito Zago, Ciro Del Negro
Nonlinear Engineering (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques
Filippos Sofos, Christos G. Papakonstantinou, Maria Valasaki, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 567-567
Open Access | Times Cited: 10
Spatial prediction of the turbulent unsteady von Kármán vortex street using echo state networks
Mohammad Sharifi Ghazijahani, Florian Heyder, Jörg Schumacher, et al.
Physics of Fluids (2023) Vol. 35, Iss. 11
Open Access | Times Cited: 5
Predicting the Self-Diffusion Coefficient of Liquids Based on Backpropagation Artificial Neural Network: A Quantitative Structure–Property Relationship Study
Fazhan Zeng, Wan Ren, Yongjun Xiao, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 48, pp. 17697-17706
Closed Access | Times Cited: 9
Vectorized Numerical Algorithms to Solve Internal Problems of Computational Fluid Dynamics
Konstantin Volkov
Algorithms (2024) Vol. 17, Iss. 2, pp. 50-50
Open Access | Times Cited: 1
Reassessing the transport properties of fluids: A symbolic regression approach
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Physical review. E (2024) Vol. 109, Iss. 1
Closed Access | Times Cited: 1
Advances in CFD Modeling of Urban Wind Applied to Aerial Mobility
Adrián García-Gutiérrez, Jesús Gonzalo, Deibi López, et al.
Fluids (2022) Vol. 7, Iss. 7, pp. 246-246
Open Access | Times Cited: 6
Neural network complexity of chaos and turbulence
Tim Whittaker, Romuald A. Janik, Yaron Oz
The European Physical Journal E (2023) Vol. 46, Iss. 7
Open Access | Times Cited: 3
Phase equilibrium in canonical cubic structure I (sI) and II (sII) and hexagonal (sH) gas hydrate solid solutions
Peter Englezos
Fluid Phase Equilibria (2023) Vol. 578, pp. 114005-114005
Closed Access | Times Cited: 3
The need for adoption of neural HPC (NeuHPC) in space sciences
H. Karimabadi, Jason Wilkes, Dewi Roberts
Frontiers in Astronomy and Space Sciences (2023) Vol. 10
Open Access | Times Cited: 2
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