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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:

Ensemble machine learning for predicting the homogenized elastic properties of unidirectional composites: A SHAP-based interpretability analysis
Wenzhao Wang, Yunmei Zhao, Yan Li
Acta Mechanica Sinica (2023) Vol. 40, Iss. 3
Closed Access | Times Cited: 9

Showing 9 citing articles:

Multimodal Data Fusion Enhanced Deep Learning Prediction of Crack Path Segmentation in CFRP Composites
Peng Zhang, Keke Tang, Guangxu Chen, et al.
Composites Science and Technology (2024) Vol. 257, pp. 110812-110812
Closed Access | Times Cited: 4
Machine learning-encoded multiscale modelling and Bayesian optimization framework to design programmable metamaterials
Yang Liu, Xiaoyan Li, Yuli Chen, et al.
Acta Mechanica Sinica (2024) Vol. 41, Iss. 1
Closed Access | Times Cited: 1
Examining the effect of the shear coefficient on the prediction of progressive failure of fiber-reinforced composites
Bowen Wu, Yang Chen, Chao Zhang
Composite Structures (2024), pp. 118663-118663
Closed Access | Times Cited: 1
Three-dimensional cohesive finite element simulations coupled with machine learning to predict mechanical properties of polymer-bonded explosives
Daokun Lu, Bingru Zhang, Liu Liu, et al.
Composites Science and Technology (2024) Vol. 259, pp. 110947-110947
Closed Access | Times Cited: 1
A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites
Yunmei Zhao, Zhenyue Chen, Xiaobin Jian
Polymers (2023) Vol. 15, Iss. 19, pp. 3962-3962
Open Access | Times Cited: 3
Predicting surface roughness of carbon/phenolic composites in extreme environments using machine learning
Tong Shang, Jingran Ge, Jing Yang, et al.
Acta Mechanica Sinica (2024) Vol. 41, Iss. 4
Closed Access
Delamination assessment and prediction in ultrasonic-assisted drilling of laminated hybrid composites
Mohammad Baraheni, Behzad Hashemi Soudmand, Saeid Amini
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access
Local elasticity assessment of unidirectional fiber-reinforced polymer composites through impulse excitation and machine learning
Ying Liu, Hamzah Ali Alkhazaleh, Mohammad Ahmar Khan, et al.
Journal of Reinforced Plastics and Composites (2024)
Closed Access
An Artificial Intelligence Approach to Predicting Processing Parameters for Liquid Composite Molded (LCM) Carbon Fibre-Reinforced Plastics (CFRPs)
Jennifer Sears, Jennifer Johrendt
Research Square (Research Square) (2024)
Open Access
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