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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:

Reinforcement-learning-based control of confined cylinder wakes with stability analyses
Jichao Li, Mengqi Zhang
Journal of Fluid Mechanics (2021) Vol. 932
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Machine learning in aerodynamic shape optimization
Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins
Progress in Aerospace Sciences (2022) Vol. 134, pp. 100849-100849
Open Access | Times Cited: 184
Recent advances in applying deep reinforcement learning for flow control: Perspectives and future directions
Colin Vignon, Jean Rabault, Ricardo Vinuesa
Physics of Fluids (2023) Vol. 35, Iss. 3
Open Access | Times Cited: 78
Comparative analysis of machine learning methods for active flow control
Fabio Pino, Lorenzo Schena, Jean Rabault, et al.
Journal of Fluid Mechanics (2023) Vol. 958
Open Access | Times Cited: 46
Primary instability, sensitivity and active control of flow past two tandem circular cylinders
Ziyu Liu, Lei Zhou, Hui Tang, et al.
Ocean Engineering (2024) Vol. 294, pp. 116863-116863
Closed Access | Times Cited: 23
A zero-net-mass-flux wake stabilization method for blunt bodies via global linear instability
Q. Q. Zhu, Lei Zhou, Hongfu Zhang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 17
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
A review on deep reinforcement learning for fluid mechanics: An update
Jonathan Viquerat, Philippe Méliga, Aurélien Larcher, et al.
Physics of Fluids (2022) Vol. 34, Iss. 11
Open Access | Times Cited: 64
Effective control of two-dimensional Rayleigh–Bénard convection: Invariant multi-agent reinforcement learning is all you need
Colin Vignon, Jean Rabault, Joel Vasanth, et al.
Physics of Fluids (2023) Vol. 35, Iss. 6
Open Access | Times Cited: 29
Active flow control for bluff body drag reduction using reinforcement learning with partial measurements
Chengwei Xia, Junjie Zhang, Eric C. Kerrigan, et al.
Journal of Fluid Mechanics (2024) Vol. 981
Open Access | Times Cited: 11
Active flow control for bluff body under high Reynolds number turbulent flow conditions using deep reinforcement learning
Jingbo Chen, Enrico Ballini, Stefano Micheletti
Physics of Fluids (2025) Vol. 37, Iss. 2
Open Access | Times Cited: 1
Deep reinforcement learning for active flow control in a turbulent separation bubble
Bernat Font, Francisco Alcántara-Ávila, Jean Rabault, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Deep reinforcement learning for computational fluid dynamics on HPC systems
Marius Kurz, Philipp Offenhäuser, Dominic Viola, et al.
Journal of Computational Science (2022) Vol. 65, pp. 101884-101884
Open Access | Times Cited: 35
Machine-learning flow control with few sensor feedback and measurement noise
Rodrigo Castellanos, Guy Y. Cornejo Maceda, Ignacio de la Fuente, et al.
Physics of Fluids (2022) Vol. 34, Iss. 4
Open Access | Times Cited: 32
Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes
Pau Varela, Pol Suárez, Francisco Alcántara-Ávila, et al.
Actuators (2022) Vol. 11, Iss. 12, pp. 359-359
Open Access | Times Cited: 31
Reinforcement-learning-based actuator selection method for active flow control
Romain Paris, Samir Beneddine, Julien Dandois
Journal of Fluid Mechanics (2023) Vol. 955
Open Access | Times Cited: 18
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
Alec J. Linot, Kevin Zeng, Michael D. Graham
International Journal of Heat and Fluid Flow (2023) Vol. 101, pp. 109139-109139
Open Access | Times Cited: 18
Balanced proper-orthogonal-decomposition-based feedback control of vortex-induced vibration
Haokui Jiang, Shunxiang Cao
Physical Review Fluids (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 7
Adjoint-based machine learning for active flow control
Xuemin Liu, Jonathan F. MacArt
Physical Review Fluids (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Reinforcement-learning-based control of convectively unstable flows
Da Xu, Mengqi Zhang
Journal of Fluid Mechanics (2023) Vol. 954
Open Access | Times Cited: 13
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
Active flow control using deep reinforcement learning with time delays in Markov decision process and autoregressive policy
Yiqian Mao, Shan Zhong, Hujun Yin
Physics of Fluids (2022) Vol. 34, Iss. 5
Open Access | Times Cited: 20
Airfoils optimization based on deep reinforcement learning to improve the aerodynamic performance of rotors
Jiaqi Liu, Rongqian Chen, Jinhua Lou, et al.
Aerospace Science and Technology (2023) Vol. 143, pp. 108737-108737
Closed Access | Times Cited: 12
Optimal parallelization strategies for active flow control in deep reinforcement learning-based computational fluid dynamics
Wang Jia, Hang Xu
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 4
Robust and adaptive deep reinforcement learning for enhancing flow control around a square cylinder with varying Reynolds numbers
Wang Jia, Hang Xu
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 4
Mitigating the lift of a circular cylinder in wake flow using deep reinforcement learning guided self-rotation
Fuwang Zhao, Yuanye Zhou, Feng Ren, et al.
Ocean Engineering (2024) Vol. 306, pp. 118138-118138
Closed Access | Times Cited: 4
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