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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:

A hybrid partitioned deep learning methodology for moving interface and fluid–structure interaction
Rachit Gupta, Rajeev K. Jaiman
Computers & Fluids (2021) Vol. 233, pp. 105239-105239
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Methods for enabling real-time analysis in digital twins: A literature review
Mohammad Sadegh Es-haghi, Cosmin Anitescu, Timon Rabczuk
Computers & Structures (2024) Vol. 297, pp. 107342-107342
Open Access | Times Cited: 19
Three-dimensional deep learning-based reduced order model for unsteady flow dynamics with variable Reynolds number
Rachit Gupta, Rajeev K. Jaiman
Physics of Fluids (2022) Vol. 34, Iss. 3
Open Access | Times Cited: 45
Effect of vorticity transport on flow structure in the tip region of axial compressors
Jiexuan Hou, Yangwei Liu, Luyang Zhong, et al.
Physics of Fluids (2022) Vol. 34, Iss. 5
Closed Access | Times Cited: 45
Machine learning-based surrogate modeling approaches for fixed-wing store separation
Nicholas Peters, Andrew M. Wissink, John A. Ekaterinaris
Aerospace Science and Technology (2023) Vol. 133, pp. 108150-108150
Closed Access | Times Cited: 23
Multi-fidelity prediction of fluid flow based on transfer learning using Fourier neural operator
Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 23
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
Journal of Computational Physics (2024) Vol. 504, pp. 112866-112866
Open Access | Times Cited: 9
Deep learning-based reduced-order modeling for parameterized convection-dominated partial differential equations
Yu-shan Meng, Yuanhong Chen, Zhen Gao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access | Times Cited: 1
Differentiable hybrid neural modeling for fluid-structure interaction
Xiantao Fan, Jianxun Wang
Journal of Computational Physics (2023) Vol. 496, pp. 112584-112584
Open Access | Times Cited: 19
Predicting waves in fluids with deep neural network
Indu Kant Deo, Rajeev K. Jaiman
Physics of Fluids (2022) Vol. 34, Iss. 6
Open Access | Times Cited: 26
Neural network-based multi-point, multi-objective optimisation for transonic applications
Fernando Tejero, David G. MacManus, Francisco Sanchez-Moreno, et al.
Aerospace Science and Technology (2023) Vol. 136, pp. 108208-108208
Open Access | Times Cited: 15
Predicting fluid–structure interaction with graph neural networks
Rui Gao, Rajeev K. Jaiman
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
High performance neural network for solving coronary artery flow velocity field based on fluid component concentration
Bao Li, Hao Sun, Yang Yang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, et al.
Computers & Mathematics with Applications (2025) Vol. 180, pp. 299-321
Closed Access
Synergizing machine learning with fluid–structure interaction research: An overview of trends and challenges
Muk Chen Ong, Guang Yin
(2025) Vol. 1, Iss. 1, pp. 9470002-9470002
Closed Access
Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics
Indu Kant Deo, Rui Gao, Rajeev K. Jaiman
Physics of Fluids (2023) Vol. 35, Iss. 4
Closed Access | Times Cited: 9
Non-intrusive reduced order models for partitioned fluid–structure interactions
Azzeddine Tiba, Thibault Dairay, Florian De Vuyst, et al.
Journal of Fluids and Structures (2024) Vol. 128, pp. 104156-104156
Open Access | Times Cited: 3
Solving partial differential equations using large-data models: a literature review
Abdul Mueed Hafiz, Irfan Faiq, M. Hassaballah
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 3
A comprehensive review of water entry/exit of lifeboats and occupant safety
Di Wang, Ningge Fan, Binyi Liang, et al.
Ocean Engineering (2024) Vol. 310, pp. 118768-118768
Closed Access | Times Cited: 2
Deep learning-based reduced order model for three-dimensional unsteady flow using mesh transformation and stitching
Xin Li, Zhiwen Deng, Rui Feng, et al.
Computers & Fluids (2024), pp. 106441-106441
Closed Access | Times Cited: 2
A novel artificial neural network-based interface coupling approach for partitioned fluid–structure interaction problems
Farrukh Mazhar, Ali Javed, Atakan Altınkaynak
Engineering Analysis with Boundary Elements (2023) Vol. 151, pp. 287-308
Closed Access | Times Cited: 6
Fast Aerodynamic Prediction of Airfoil with Trailing Edge Flap Based on Multi-Task Deep Learning
Chi Zhang, Zhiyuan Hu, Yongjie Shi, et al.
Aerospace (2024) Vol. 11, Iss. 5, pp. 377-377
Open Access | Times Cited: 2
A generalized framework for unsupervised learning and data recovery in computational fluid dynamics using discretized loss functions
Deepinder Jot Singh Aulakh, Steven Beale, Jon G. Pharoah
Physics of Fluids (2022) Vol. 34, Iss. 7
Closed Access | Times Cited: 8
Prediction of pulsating turbulent pipe flow by deep learning with generalization capability
Koji Matsubara, Akihiko Mitsuishi, K. Iwamoto, et al.
International Journal of Heat and Fluid Flow (2023) Vol. 104, pp. 109214-109214
Closed Access | Times Cited: 4
Predictions for unsteady flow fields with deep learning models of LSTM and GRU
Xingwei Zhang, Chen Jian-Qiao, Ke Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 144788-144811
Open Access | Times Cited: 1
Fluid–structure interaction with the spectral method: application to a cylindrical tube subjected to transverse flow
Mohamed Drissi, Mohamed Mansouri, Saïd Mesmoudi
International Journal of Dynamics and Control (2022) Vol. 11, Iss. 3, pp. 995-1001
Closed Access | Times Cited: 6
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