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:

On the Use of Machine Learning for Damage Assessment in Composite Structures: A Review
Ronny Francis Ribeiro, Guilherme Ferreira Gomes
Applied Composite Materials (2023) Vol. 31, Iss. 1, pp. 1-37
Closed Access | Times Cited: 14

Showing 14 citing articles:

Understanding and mitigating delamination in composite materials: A comprehensive review
Lucas Eiji de Castro Saiki, Guilherme Ferreira Gomes
Mechanics of Advanced Materials and Structures (2024), pp. 1-21
Closed Access | Times Cited: 17

Machine learning approach to evaluating impact behavior in fabric-laminated composite materials
Shivashankar Hiremath, Yu Zhang, Lu Zhang, et al.
Results in Engineering (2024) Vol. 23, pp. 102576-102576
Open Access | Times Cited: 8

A multi-field coupled data-driven surrogate approach for multiphysical damage diagnostic of energy harvesting composite plates
N. Bui, Duy-Khuong Ly, D. Dinh-Cong, et al.
Advances in Engineering Software (2025) Vol. 202, pp. 103871-103871
Closed Access

In-situ piezoelectric sensors for structural health monitoring with machine learning integration
Rogers K. Langat, Weikun Deng, Emmanuel De Luycker, et al.
Mechatronics (2025) Vol. 106, pp. 103297-103297
Open Access

Artificial Intelligence for Non-Destructive Imaging in Composite Materials
Mine Seçkin, Pınar Demircioğlu, Ahmet Çağdaş Seçkin, et al.
Eng—Advances in Engineering (2025) Vol. 6, Iss. 3, pp. 46-46
Open Access

Machine learning and numerical simulations for predicting critical crack conditions in wooden panels
America Califano, Pietro Foti, Marco Baiesi, et al.
International Journal of Structural Integrity (2025)
Closed Access

Brief Review of Vibrothermography and Optical Thermography for Defect Quantification in CFRP Material
Zulham Hidayat, Nicolas P. Avdelidis, Henrique Fernandes
Sensors (2025) Vol. 25, Iss. 6, pp. 1847-1847
Open Access

A Review of Machine Learning for Progressive Damage Modelling of Fiber-Reinforced Composites
Jimbay Loh, Kirk Ming Yeoh, Karthikayen Raju, et al.
Applied Composite Materials (2024)
Closed Access | Times Cited: 4

Comparative analysis of modal, static, and buckling behaviors in thin-walled composite cylinders: A detailed study
Lucas Eiji de Castro Saiki, Guilherme Ferreira Gomes
Composite Structures (2024) Vol. 352, pp. 118672-118672
Closed Access | Times Cited: 3

Advanced machine learning techniques for predicting concrete mechanical properties: a comprehensive review of models and methodologies
Fangyuan Li, Md. Sohel Rana, Muhammad Ahmed Qurashi
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2

AI- and ML-based Models for Predicting Remaining Useful Life (RUL) of Nanocomposites and Reinforced Laminated Structures
Samarthya Goyal, Suman Mondal, Sutanuka Mohanty, et al.
(2024), pp. 385-425
Closed Access | Times Cited: 1

Multi-scale correlation of impact-induced defects in carbon fiber composites using X-ray scattering and machine learning
A. Sexton, Heikki Suhonen, Mathias K. Huss-Hansen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

The Development of Composites Materials: From Conventional to Innovative Uses
Laeth Hussain, Praveen, Sreerench Ragavu, et al.
E3S Web of Conferences (2024) Vol. 529, pp. 01050-01050
Open Access

A method for detection of delamination depth position within composite laminates based on 2D continuous wavelet transform and CNN
Mingxuan Huang, Zhonghai Xu, Chunxing Hu, et al.
Structural Health Monitoring (2024)
Closed Access

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