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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:

From snapshots to manifolds – a tale of shear flows
E. Farzamnik, Andrea Ianiro, Stefano Discetti, et al.
Journal of Fluid Mechanics (2023) Vol. 955
Open Access | Times Cited: 24

Showing 24 citing articles:

Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling
Hunor Csala, Scott T. M. Dawson, Amirhossein Arzani
Physics of Fluids (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 40
Nonlinear model reduction to fractional and mixed-mode spectral submanifolds
George Haller, Bálint Kaszás, Aihui Liu, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 6
Open Access | Times Cited: 25
Linear and nonlinear dimensionality reduction from fluid mechanics to machine learning
Miguel Alfonso Mendez
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 20
Prediction of pressure fields on cavitation hydrofoil based on improved compressed sensing technology
Yangyang Sha, Yuhang Xu, Yingjie Wei, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Nonlinear dynamics of the actuated fluidic pinball — Steady, periodic, and chaotic regimes
Nan Deng, Bernd R. Noack, Guy Y. Cornejo Maceda, et al.
Chaos Solitons & Fractals (2025) Vol. 193, pp. 116075-116075
Closed Access
A prediction of urban boundary layer using Recurrent Neural Network and reduced order modeling
Yedam Lee, Sang Lee
Building and Environment (2025), pp. 112804-112804
Closed Access
Dynamics-augmented cluster-based network model
Chang Hou, Nan Deng, Bernd R. Noack
Journal of Fluid Mechanics (2024) Vol. 988
Open Access | Times Cited: 2
Manifold learning-based reduced-order model for full speed flow field
Renge Li, Shufang Song
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 2
Actuation manifold from snapshot data
Luigi Marra, Guy Y. Cornejo Maceda, Andrea Meilán-Vila, et al.
Journal of Fluid Mechanics (2024) Vol. 996
Closed Access | Times Cited: 2
Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks
Álvaro Moreno Soto, Alejandro Güemes, Stefano Discetti
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 419, pp. 116652-116652
Open Access | Times Cited: 6
Machine-learned control-oriented flow estimation for multi-actuator multi-sensor systems exemplified for the fluidic pinball
Songqi Li, Wenpeng Li, Bernd R. Noack
Journal of Fluid Mechanics (2022) Vol. 952
Open Access | Times Cited: 9
Features and mechanisms of asymmetric wake evolution downstream of two parallel circular cylinders
Yuhao Yan, Weilin Chen, Zhimeng Zhang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 10
Open Access | Times Cited: 5
Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small data
Cristina P. Martin-Linares, Yorgos M. Psarellis, George Karapetsas, et al.
Journal of Fluid Mechanics (2023) Vol. 975
Open Access | Times Cited: 5
Artificial intelligence and machine learning in aerodynamics
Jiaqing Kou, Tianbai Xiao
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 190-218
Open Access | Times Cited: 1
Cluster Globally, Model Locally: Clusterwise modeling of nonlinear dynamics
Bernd R. Noack, Nan Deng, Luc Pastur, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Feature-based manifold modeling for the quasiperiodic wake dynamics of a pair of side-by-side cylinders
Nan Deng, Yuhao Yan, Chunning Ji, et al.
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access | Times Cited: 1
From Patterns to Cocktails: A Novel Visualization Method for Turbulent Flow Fields in Stirred Reactors
Meng Tong, Yu Wang, Shuang Qin, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 44, pp. 19320-19328
Closed Access | Times Cited: 1
The fluidic pinball with symmetric forcing displays steady, periodic, quasi-periodic, and chaotic dynamics
Yanting Liu, Nan Deng, Bernd R. Noack, et al.
Theoretical and Computational Fluid Dynamics (2024) Vol. 38, Iss. 2, pp. 203-223
Closed Access
Machine Learning in Viscoelastic Fluids Via Energy-Based Kernel Embedding
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
(2024)
Open Access
Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
Journal of Computational Physics (2024) Vol. 516, pp. 113371-113371
Open Access
Complexity of extreme-event prediction in turbulent flows
Alberto Vela-Martín
Physical Review Fluids (2024) Vol. 9, Iss. 10
Closed Access
Machine-learned flow estimation with sparse data—Exemplified for the rooftop of an unmanned aerial vehicle vertiport
Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access
Learning the latent dynamics of fluid flows from high-fidelity numerical simulations using parsimonious diffusion maps
Alessandro Della Pia, Dimitrios G. Patsatzis, Lucia Russo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access
TOWARDS AERODYNAMIC SHAPE OPTIMISATION BY MANIFOLD LEARNING AND NEURAL NETWORKS
Rodrigo Castellanos, Javier Nieto-Centenero, Alejandro Gorgues, et al.
(2023), pp. 59-72
Open Access
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