Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An enhanced hybrid deep neural network reduced-order model for transonic buffet flow prediction
Ziyang Liu, Renkun Han, Miao Zhang, et al.
Aerospace Science and Technology (2022) Vol. 126, pp. 107636-107636
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Fast aerodynamics prediction of laminar airfoils based on deep attention network
Kuijun Zuo, Zhengyin Ye, Weiwei Zhang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 3
Closed Access | Times Cited: 51
Fast flow field prediction of three-dimensional hypersonic vehicles using an improved Gaussian process regression algorithm
Yuxin Yang, Youtao Xue, Wenwen Zhao, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 11
Artificial neural network-based temperature prediction of a lunar orbiter in thermal vacuum test: Data-driven reduced-order models
Byungkwan Jang, Woojin Lee, Jang-Joon Lee, et al.
Aerospace Science and Technology (2024) Vol. 145, pp. 108867-108867
Closed Access | Times Cited: 8
An accuracy-enhanced transonic flow prediction method fusing deep learning and a reduced-order model
Xuyi Jia, Chunlin Gong, Wen Ji, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 8
Prediction of transonic flow over supercritical airfoils using geometric-encoding and deep-learning strategies
Zhiwen Deng, Jing Wang, Hongsheng Liu, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 16
Aeroelastic stability of elastic skin of airfoil in transonic buffeting flow
Liangcheng Nie, Chuanqiang Gao, Zihao Dou, et al.
Aerospace Science and Technology (2024) Vol. 146, pp. 108925-108925
Closed Access | Times Cited: 4
A new proposal for the prediction of an aircraft engine fuel consumption: a novel CNN-BiLSTM deep neural network model
Sedat Metlek
Aircraft Engineering and Aerospace Technology (2023) Vol. 95, Iss. 5, pp. 838-848
Closed Access | Times Cited: 11
Fast performance prediction and field reconstruction of gas turbine using supervised graph learning approaches
Jinxing Li, Yuqi Wang, Zhilong Qiu, et al.
Aerospace Science and Technology (2023) Vol. 140, pp. 108425-108425
Closed Access | Times Cited: 10
A novel attention enhanced deep neural network for hypersonic spatiotemporal turbulence prediction
J. Du, Xin Li, Siwei Dong, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 3
Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall
X.Y. Zhang, Yang Zhang, K.M. Liew
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117157-117157
Closed Access | Times Cited: 3
Airfoil-based convolutional autoencoder and long short-term memory neural network for predicting coherent structures evolution around an airfoil
Bo Zhang
Computers & Fluids (2023) Vol. 258, pp. 105883-105883
Closed Access | Times Cited: 9
Temporal predictions of periodic flows using a mesh transformation and deep learning-based strategy
Zhiwen Deng, Hongsheng Liu, Beiji Shi, et al.
Aerospace Science and Technology (2022) Vol. 134, pp. 108081-108081
Closed Access | Times Cited: 15
A variable fidelity approach for predicting aerodynamic wall quantities of hypersonic vehicles using the ConvNeXt Encoder-Decoder framework
Yuxin Yang, Shaobo Yao, Youtao Xue, et al.
Aerospace Science and Technology (2024), pp. 109605-109605
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
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
Towards a new paradigm in intelligence-driven computational fluid dynamics simulations
Xinhai Chen, Zhichao Wang, Liang Deng, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Accelerating unsteady aerodynamic simulations using predictive reduced-order modeling
Z. Y. Li, Ping He
Aerospace Science and Technology (2023) Vol. 139, pp. 108412-108412
Open Access | Times Cited: 4
Flow sensing method for fluid-structure interaction systems via multilayer proper orthogonal decomposition
Xuyi Jia, Chunlin Gong, Wen Ji, et al.
Journal of Fluids and Structures (2023) Vol. 124, pp. 104023-104023
Open Access | Times Cited: 4
A Divide-and-Conquer Deep Learning Approach to Reconstruct
Xingwen Peng, Wen Yao, Xingchen Li, et al.
(2024)
Closed Access
A novel spatial–temporal prediction method for the effects of fish movement on flow field based on hybrid deep neural network
Jingyang Wang, Baiyinbaoligao, Xiangpeng Mu, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access
A multi-scale mixed information-driven hybrid deep neural network model for predicting unsteady flows
Zhicheng Gong, Zili Xu, Shizhi Zhao, et al.
Ocean Engineering (2024) Vol. 311, pp. 118904-118904
Closed Access
Shock Buffet Onset Prediction with Flow Feature-Informed Neural Network
Qiyue Ma, Chuanqiang Gao, Neng Xiong, et al.
Aerospace Science and Technology (2024) Vol. 155, pp. 109649-109649
Closed Access
Fast Aerodynamic Performance Prediction for Airfoils across Multiple Reynolds Numbers Using Deep Learning Method
Ming-Yu Wu, Yan Wu, Yue Hua, et al.
Journal of Aerospace Engineering (2024) Vol. 38, Iss. 1
Closed Access
Deep learning-based predictive modeling of transonic flow over an airfoil
Li-Wei Chen, Nils Thuerey
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access
Integrated penalty control: A highly robust start-up control schedule design method for gas turbine engines
Ping Kang, Yang Dai, Hang Zhao, et al.
Aerospace Science and Technology (2024), pp. 109903-109903
Closed Access
Page 1 - Next Page

Scroll to top