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:
Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes
Mohamed Amine Bouhlel, Sicheng He, Joaquim R. R. A. Martins
Structural and Multidisciplinary Optimization (2020) Vol. 61, Iss. 4, pp. 1363-1376
Closed Access | Times Cited: 76
Mohamed Amine Bouhlel, Sicheng He, Joaquim R. R. A. Martins
Structural and Multidisciplinary Optimization (2020) Vol. 61, Iss. 4, pp. 1363-1376
Closed Access | Times Cited: 76
Showing 1-25 of 76 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: 179
Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins
Progress in Aerospace Sciences (2022) Vol. 134, pp. 100849-100849
Open Access | Times Cited: 179
Recent advances and applications of surrogate models for finite element method computations: a review
Jakub Kůdela, Radomil Matoušek
Soft Computing (2022) Vol. 26, Iss. 24, pp. 13709-13733
Closed Access | Times Cited: 147
Jakub Kůdela, Radomil Matoušek
Soft Computing (2022) Vol. 26, Iss. 24, pp. 13709-13733
Closed Access | Times Cited: 147
Rapid airfoil design optimization via neural networks-based parameterization and surrogate modeling
Xiaosong Du, Ping He, Joaquim R. R. A. Martins
Aerospace Science and Technology (2021) Vol. 113, pp. 106701-106701
Open Access | Times Cited: 123
Xiaosong Du, Ping He, Joaquim R. R. A. Martins
Aerospace Science and Technology (2021) Vol. 113, pp. 106701-106701
Open Access | Times Cited: 123
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
Paul Saves, Rémi Lafage, Nathalie Bartoli, et al.
Advances in Engineering Software (2023) Vol. 188, pp. 103571-103571
Open Access | Times Cited: 45
Paul Saves, Rémi Lafage, Nathalie Bartoli, et al.
Advances in Engineering Software (2023) Vol. 188, pp. 103571-103571
Open Access | Times Cited: 45
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization
S. Ashwin Renganathan, Romit Maulik, Jai Ahuja
Aerospace Science and Technology (2021) Vol. 111, pp. 106522-106522
Open Access | Times Cited: 66
S. Ashwin Renganathan, Romit Maulik, Jai Ahuja
Aerospace Science and Technology (2021) Vol. 111, pp. 106522-106522
Open Access | Times Cited: 66
Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods
Chun Kit Jeffery Hou, Kamran Behdinan
Data Science and Engineering (2022) Vol. 7, Iss. 4, pp. 402-427
Open Access | Times Cited: 44
Chun Kit Jeffery Hou, Kamran Behdinan
Data Science and Engineering (2022) Vol. 7, Iss. 4, pp. 402-427
Open Access | Times Cited: 44
Data-based approach for wing shape design optimization
Jichao Li, Mengqi Zhang
Aerospace Science and Technology (2021) Vol. 112, pp. 106639-106639
Closed Access | Times Cited: 49
Jichao Li, Mengqi Zhang
Aerospace Science and Technology (2021) Vol. 112, pp. 106639-106639
Closed Access | Times Cited: 49
On-line transfer learning for multi-fidelity data fusion with ensemble of deep neural networks
Zengcong Li, Shu Zhang, Hongqing Li, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101689-101689
Closed Access | Times Cited: 32
Zengcong Li, Shu Zhang, Hongqing Li, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101689-101689
Closed Access | Times Cited: 32
Efficient structural optimisation of composite materials aircraft wings
Spyridon Kilimtzidis, Αθανάσιος Κοτζακόλιος, Vassilis Kostopoulos
Composite Structures (2022) Vol. 303, pp. 116268-116268
Closed Access | Times Cited: 30
Spyridon Kilimtzidis, Αθανάσιος Κοτζακόλιος, Vassilis Kostopoulos
Composite Structures (2022) Vol. 303, pp. 116268-116268
Closed Access | Times Cited: 30
Surrogate Aerodynamic Wing Modeling Based on a Multilayer Perceptron
Oscar Ulises Espinosa Barcenas, Jose Gabriel Quijada Pioquinto, Ekaterina Kurkina, et al.
Aerospace (2023) Vol. 10, Iss. 2, pp. 149-149
Open Access | Times Cited: 18
Oscar Ulises Espinosa Barcenas, Jose Gabriel Quijada Pioquinto, Ekaterina Kurkina, et al.
Aerospace (2023) Vol. 10, Iss. 2, pp. 149-149
Open Access | Times Cited: 18
Advanced UAV Design Optimization Through Deep Learning-Based Surrogate Models
Hasan Karali, Gökhan İnalhan, Antonios Tsourdos
Aerospace (2024) Vol. 11, Iss. 8, pp. 669-669
Open Access | Times Cited: 6
Hasan Karali, Gökhan İnalhan, Antonios Tsourdos
Aerospace (2024) Vol. 11, Iss. 8, pp. 669-669
Open Access | Times Cited: 6
A fast three-dimensional flow field prediction around bluff bodies using deep learning
Farhad Nemati Taher, Abdussamet Subaşı
Physics of Fluids (2024) Vol. 36, Iss. 2
Closed Access | Times Cited: 5
Farhad Nemati Taher, Abdussamet Subaşı
Physics of Fluids (2024) Vol. 36, Iss. 2
Closed Access | Times Cited: 5
A duality-preserving adjoint method for segregated Navier–Stokes solvers
Lean Fang, Ping He
Journal of Computational Physics (2024) Vol. 503, pp. 112860-112860
Closed Access | Times Cited: 5
Lean Fang, Ping He
Journal of Computational Physics (2024) Vol. 503, pp. 112860-112860
Closed Access | Times Cited: 5
Multifidelity aerodynamic flow field prediction using random forest-based machine learning
Jethro Nagawkar, Leifur Leifsson
Aerospace Science and Technology (2022) Vol. 123, pp. 107449-107449
Open Access | Times Cited: 23
Jethro Nagawkar, Leifur Leifsson
Aerospace Science and Technology (2022) Vol. 123, pp. 107449-107449
Open Access | Times Cited: 23
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
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
Static Aeroelastic Optimization of High-Aspect-Ratio Composite Aircraft Wings via Surrogate Modeling
Spyridon Kilimtzidis, Vassilis Kostopoulos
Aerospace (2023) Vol. 10, Iss. 3, pp. 251-251
Open Access | Times Cited: 12
Spyridon Kilimtzidis, Vassilis Kostopoulos
Aerospace (2023) Vol. 10, Iss. 3, pp. 251-251
Open Access | Times Cited: 12
Recent progress of efficient low-boom design and optimization methods
Zhonghua Han, Jianling Qiao, Liwen Zhang, et al.
Progress in Aerospace Sciences (2024) Vol. 146, pp. 101007-101007
Open Access | Times Cited: 4
Zhonghua Han, Jianling Qiao, Liwen Zhang, et al.
Progress in Aerospace Sciences (2024) Vol. 146, pp. 101007-101007
Open Access | Times Cited: 4
Multi-fidelity deep learning for aerodynamic shape optimization using convolutional neural network
Guocheng Tao, Chengwei Fan, Wen Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 4
Guocheng Tao, Chengwei Fan, Wen Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 4
A Combined Modeling Method for Complex Multi-Fidelity Data Fusion
Lei Tang, Feng Liu, Anping Wu, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035071-035071
Open Access | Times Cited: 4
Lei Tang, Feng Liu, Anping Wu, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035071-035071
Open Access | Times Cited: 4
StructureGraph: a universal performance evaluation method for engineering structures via heterogeneous graph neural network
Yongcheng Li, Changsheng Wang, Shuyu Lv, et al.
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 3
Closed Access
Yongcheng Li, Changsheng Wang, Shuyu Lv, et al.
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 3
Closed Access
Adjoint-Free Aerodynamic Shape Optimization of the Common Research Model Wing
Jichao Li, Mengqi Zhang
AIAA Journal (2021) Vol. 59, Iss. 6, pp. 1990-2000
Closed Access | Times Cited: 30
Jichao Li, Mengqi Zhang
AIAA Journal (2021) Vol. 59, Iss. 6, pp. 1990-2000
Closed Access | Times Cited: 30
Deep learning based multistage method for inverse design of supercritical airfoil
Ruiwu Lei, Junqiang Bai, Wang Hui, et al.
Aerospace Science and Technology (2021) Vol. 119, pp. 107101-107101
Closed Access | Times Cited: 29
Ruiwu Lei, Junqiang Bai, Wang Hui, et al.
Aerospace Science and Technology (2021) Vol. 119, pp. 107101-107101
Closed Access | Times Cited: 29
Invertible Neural Networks for Airfoil Design
Andrew Glaws, Ryan King, Ganesh Vijayakumar, et al.
AIAA Journal (2022) Vol. 60, Iss. 5, pp. 3035-3047
Open Access | Times Cited: 20
Andrew Glaws, Ryan King, Ganesh Vijayakumar, et al.
AIAA Journal (2022) Vol. 60, Iss. 5, pp. 3035-3047
Open Access | Times Cited: 20
AI-Driven Multidisciplinary Conceptual Design of Unmanned Aerial Vehicles
Hasan Karali, Gökhan İnalhan, Antonios Tsourdos
AIAA SCITECH 2022 Forum (2024)
Open Access | Times Cited: 3
Hasan Karali, Gökhan İnalhan, Antonios Tsourdos
AIAA SCITECH 2022 Forum (2024)
Open Access | Times Cited: 3
A Review of Intelligent Airfoil Aerodynamic Optimization Methods Based on Data-Driven Advanced Models
Liyue Wang, Haochen Zhang, Cong Wang, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1417-1417
Open Access | Times Cited: 3
Liyue Wang, Haochen Zhang, Cong Wang, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1417-1417
Open Access | Times Cited: 3
