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:
Identification of voids and interlaminar shear strengths of polymer‐matrix composites by optical microscopy experiment and deep learning methodology
Ling Luo, Boming Zhang, Yongpeng Lei, et al.
Polymers for Advanced Technologies (2021) Vol. 32, Iss. 4, pp. 1853-1865
Closed Access | Times Cited: 13
Ling Luo, Boming Zhang, Yongpeng Lei, et al.
Polymers for Advanced Technologies (2021) Vol. 32, Iss. 4, pp. 1853-1865
Closed Access | Times Cited: 13
Showing 13 citing articles:
An Overview of the Recent Advances in Composite Materials and Artificial Intelligence for Hydrogen Storage Vessels Design
Mourad Nachtane, Mostapha Tarfaoui, Mohamed amine Abichou, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 3, pp. 119-119
Open Access | Times Cited: 60
Mourad Nachtane, Mostapha Tarfaoui, Mohamed amine Abichou, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 3, pp. 119-119
Open Access | Times Cited: 60
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol
Nanoscale Horizons (2022) Vol. 7, Iss. 12, pp. 1427-1477
Open Access | Times Cited: 64
Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol
Nanoscale Horizons (2022) Vol. 7, Iss. 12, pp. 1427-1477
Open Access | Times Cited: 64
Automatic void content assessment of composite laminates using a machine-learning approach
João Manuel Martins Machado, João Manuel R. S. Tavares, P.P. Camanho, et al.
Composite Structures (2022) Vol. 288, pp. 115383-115383
Open Access | Times Cited: 25
João Manuel Martins Machado, João Manuel R. S. Tavares, P.P. Camanho, et al.
Composite Structures (2022) Vol. 288, pp. 115383-115383
Open Access | Times Cited: 25
Effect Mechanism and Simulation of Voids on Hygrothermal Performances of Composites
Zhu Liu, Yongpeng Lei, Xiangyang Zhang, et al.
Polymers (2022) Vol. 14, Iss. 5, pp. 901-901
Open Access | Times Cited: 24
Zhu Liu, Yongpeng Lei, Xiangyang Zhang, et al.
Polymers (2022) Vol. 14, Iss. 5, pp. 901-901
Open Access | Times Cited: 24
Optimal design of thin-layered composites for type IV vessels: Finite element analysis enhanced by ANN
FanDing Li, Xuedong Chen, Peng Xu, et al.
Thin-Walled Structures (2023) Vol. 187, pp. 110752-110752
Closed Access | Times Cited: 11
FanDing Li, Xuedong Chen, Peng Xu, et al.
Thin-Walled Structures (2023) Vol. 187, pp. 110752-110752
Closed Access | Times Cited: 11
The effect of convolutional neural network architectures on phase segmentation of composite material X-ray micrographs
Pedro Galvez-Hernandez, James Kratz
Journal of Composite Materials (2023) Vol. 57, Iss. 18, pp. 2899-2918
Open Access | Times Cited: 11
Pedro Galvez-Hernandez, James Kratz
Journal of Composite Materials (2023) Vol. 57, Iss. 18, pp. 2899-2918
Open Access | Times Cited: 11
Optimization strategy for curing ultra-thick composite laminates based on multi-objective genetic algorithm
Yan Gao, Jing Ye, Zhenyi Yuan, et al.
Composites Communications (2022) Vol. 31, pp. 101115-101115
Closed Access | Times Cited: 16
Yan Gao, Jing Ye, Zhenyi Yuan, et al.
Composites Communications (2022) Vol. 31, pp. 101115-101115
Closed Access | Times Cited: 16
Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites
Shailee Upadhyay, Abraham George Smith, Dirk Vandepitte, et al.
Composites Part A Applied Science and Manufacturing (2023) Vol. 177, pp. 107937-107937
Closed Access | Times Cited: 9
Shailee Upadhyay, Abraham George Smith, Dirk Vandepitte, et al.
Composites Part A Applied Science and Manufacturing (2023) Vol. 177, pp. 107937-107937
Closed Access | Times Cited: 9
Electrically-assisted void reduction for synergistic improvement in strength and toughness of fiber-reinforced composites
Kaiqiang Wen, Hechuan Ma, Siyi Cheng, et al.
Materials & Design (2023) Vol. 229, pp. 111909-111909
Open Access | Times Cited: 6
Kaiqiang Wen, Hechuan Ma, Siyi Cheng, et al.
Materials & Design (2023) Vol. 229, pp. 111909-111909
Open Access | Times Cited: 6
Annotator bias and its effect on deep learning segmentation of uncured composite micrographs
Pedro Galvez-Hernandez, James Kratz
NDT & E International (2024) Vol. 144, pp. 103088-103088
Open Access | Times Cited: 2
Pedro Galvez-Hernandez, James Kratz
NDT & E International (2024) Vol. 144, pp. 103088-103088
Open Access | Times Cited: 2
Solid epoxy prepregs with patterned resin distribution: Influence of pattern and process parameters on part quality in vacuum‐bag‐only processing
J. Janzen, David May
Polymer Composites (2023) Vol. 44, Iss. 11, pp. 8153-8167
Open Access | Times Cited: 5
J. Janzen, David May
Polymer Composites (2023) Vol. 44, Iss. 11, pp. 8153-8167
Open Access | Times Cited: 5
Overview on characterization of shear properties using finite element analysis for polymer composites
Moganapriya Chinnasamy, Rajasekar Rathanasamy, Samir Kumar Pal, et al.
Elsevier eBooks (2024), pp. 125-148
Closed Access
Moganapriya Chinnasamy, Rajasekar Rathanasamy, Samir Kumar Pal, et al.
Elsevier eBooks (2024), pp. 125-148
Closed Access
Deep Learning-Based Microscopic Damage Assessment of Fiber-Reinforced Polymer Composites
Muhammad Muzammil Azad, Atta ur Rehman Shah, M. N. Prabhakar, et al.
Materials (2024) Vol. 17, Iss. 21, pp. 5265-5265
Open Access
Muhammad Muzammil Azad, Atta ur Rehman Shah, M. N. Prabhakar, et al.
Materials (2024) Vol. 17, Iss. 21, pp. 5265-5265
Open Access
