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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:

The transformative potential of machine learning for experiments in fluid mechanics
Ricardo Vinuesa, Steven L. Brunton, Beverley McKeon
Nature Reviews Physics (2023) Vol. 5, Iss. 9, pp. 536-545
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Jin Li, Meisa Zhou, Hong‐Hui Wu, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 20
Closed Access | Times Cited: 44
Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at $$Re_D=3900$$
Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, et al.
Flow Turbulence and Combustion (2025)
Open Access | Times Cited: 2
Identifying regions of importance in wall-bounded turbulence through explainable deep learning
A. Cremades, Sergio Hoyas, Rahul Deshpande, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
A deep learning super-resolution model for turbulent image upscaling and its application to shock wave–boundary layer interaction
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 12
Perspectives on predicting and controlling turbulent flows through deep learning
Ricardo Vinuesa
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 11
Advanced intelligent computing ANN for momentum, thermal, and concentration boundary layers in plasma electro hydrodynamics burgers fluid
Muhammad Imran Khan, Refka Ghodhbani, T.A. Taha, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108195-108195
Closed Access | Times Cited: 11
New insights into experimental stratified flows obtained through physics-informed neural networks
Lu Zhu, Xianyang Jiang, Adrien Lefauve, et al.
Journal of Fluid Mechanics (2024) Vol. 981
Open Access | Times Cited: 9
On the spatial prediction of the turbulent flow behind an array of cylinders via echo state networks
Mohammad Sharifi Ghazijahani, Christian Cierpka
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110079-110079
Open Access | Times Cited: 1
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 7
Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 5
On the prediction of the turbulent flow behind cylinder arrays via Echo State Networks
Mohammad Sharifi Ghazijahani, Christian Cierpka
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035005-035005
Open Access | Times Cited: 5
Data-driven physics-informed neural networks: A digital twin perspective
Sunwoong Yang, Hojin Kim, Yoonpyo Hong, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 428, pp. 117075-117075
Open Access | Times Cited: 5
A deep neural network reduced order model for unsteady aerodynamics of pitching airfoils
Giacomo Baldan, Alberto Guardone
Aerospace Science and Technology (2024) Vol. 152, pp. 109345-109345
Open Access | Times Cited: 5
Data-driven methods for flow and transport in porous media: A review
Yang Guang, Ran Xu, Yusong Tian, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 235, pp. 126149-126149
Open Access | Times Cited: 5
Inductive transfer-learning of high-fidelity aerodynamics from inviscid panel methods
Benjamin Wong, Boo Cheong Khoo
Advances in Aerodynamics (2025) Vol. 7, Iss. 1
Open Access
Modern, Efficient, and Differentiable Transport Equation Models Using JAX: Applications to Population Balance Equations
Mohammed Alsubeihi, Arthur Jessop, Ben Moseley, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access
Reconstruction of Gappy Data for Experiments of Flow past a Circular Cylinder based on the Deep Learning Method
Fan Zhang, Heng Zhang, Zhuoyue Li, et al.
Acta Physica Sinica (2025) Vol. 74, Iss. 7, pp. 1-1
Open Access
Investigating the failure mechanisms of cascade landslide dams under overtopping conditions: an experimental approach
Changjing Fu, Tianlong Zhao, Hongxin Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Similarity learning with neural networks
Gabriel Sanfins, Fábio Ramos, Danilo Naiff
Physical review. E (2025) Vol. 111, Iss. 2
Open Access
Physics-informed neural networks enhanced planar laser-induced fluorescence technique: Reconstructing flow fields of supersonic gas flow into the low-pressure region
Tingxuan Fan, Tianliang Zhao, Tingting Liu, et al.
Optics and Lasers in Engineering (2025) Vol. 188, pp. 108913-108913
Closed Access
OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics
Sandeep Pandey, Ran Xu, Wenkang Wang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Conventional Flow Analysis Methods in Vehicle Damper Performance Evaluation
Aadil Arshad Ferhath, Kamalakkannan Kasi
Discover Mechanical Engineering (2025) Vol. 4, Iss. 1
Open Access
Changes in the safety and edible quality of stir-fried chicken packaged using coated tinplate bowls during open-fire reheating: Experimental and visualization modeling
Ziwu Gao, Jiale Ma, Dequan Zhang, et al.
Food Chemistry (2025), pp. 143981-143981
Closed Access
Biomimetic propulsion system efficiency for unmanned underwater vehicle
Piotr Szymak, Paweł Piskur, Rafał Kot, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
ANN-Based Prediction and RSM Optimization of Radiative Heat Transfer in Couple Stress Nanofluids with Thermodiffusion Effects
Reima Daher Alsemiry, Sameh E. Ahmed, Mohamed R. Eid, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 1055-1055
Open Access
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