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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:

A Deep Learning Framework for Vibration-Based Assessment of Delamination in Smart Composite Laminates
Asif Khan, Jae Kyoung Shin, Woo Cheol Lim, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2335-2335
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel
Shirsendu Sikdar, Dianzi Liu, Abhishek Kundu
Composites Part B Engineering (2021) Vol. 228, pp. 109450-109450
Open Access | Times Cited: 95
A Review of Physics-based Models in Prognostics and Health Management of Laminated Composite Structures
Asif Khan, Muhammad Muzammil Azad, Muhammad Sohail, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2023) Vol. 10, Iss. 6, pp. 1615-1635
Closed Access | Times Cited: 23
Non-destructive detection of thin micro-defects in glass reinforced polymer composites using a terahertz electro–magnetic wave based on a convolution neural network
Heon-Su Kim, Dong-Woon Park, Sang-Il Kim, et al.
Composites Part B Engineering (2023) Vol. 257, pp. 110694-110694
Closed Access | Times Cited: 22
Advanced computational modelling of composite materials
Zhengqiang Cheng, Hu Liu, Wei Tan
Engineering Fracture Mechanics (2024) Vol. 305, pp. 110120-110120
Open Access | Times Cited: 14
Deep learning for defect characterization in composite laminates inspected by step-heating thermography
Roberto Marani, Davide Palumbo, Umberto Galietti, et al.
Optics and Lasers in Engineering (2021) Vol. 145, pp. 106679-106679
Closed Access | Times Cited: 44
Innovative method for pavement multiple damages segmentation and measurement by the Road-Seg-CapsNet of feature fusion
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Construction and Building Materials (2022) Vol. 324, pp. 126719-126719
Closed Access | Times Cited: 35
Full scale promoted convolution neural network for intelligent terahertz 3D characterization of GFRP delamination
Yafei Xu, Hongkuan Zhou, Yuqing Cui, et al.
Composites Part B Engineering (2022) Vol. 242, pp. 110022-110022
Closed Access | Times Cited: 31
Predicting the material behavior of recycled composites: Experimental analysis and deep learning hybrid approach
Yoon‐Bo Shim, In Yong Lee, Young-Bin Park
Composites Science and Technology (2024) Vol. 249, pp. 110464-110464
Closed Access | Times Cited: 5
New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform
Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu
Sensors (2025) Vol. 25, Iss. 6, pp. 1926-1926
Open Access
Deep Transfer Learning Approach for Localization of Damage Area in Composite Laminates Using Acoustic Emission Signal
Jingyu Zhao, Weihua Xie, Dong Yu, et al.
Polymers (2023) Vol. 15, Iss. 6, pp. 1520-1520
Open Access | Times Cited: 12
Identification of Poroid Damage in Cfrp Axle Tubes Based on Modal Parameters
Lei Feng, Guoping Ding, Yefa Hu, et al.
(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
On accurately capturing the through-thickness variation of transverse shear and normal stresses for composite beams using FSDT coupled with GPR
Aman Garg, T. Mukhopadhyay, Mohamed‐Ouejdi Belarbi, et al.
Composite Structures (2022) Vol. 305, pp. 116551-116551
Closed Access | Times Cited: 21
Identification of microstructures and damages in silicon carbide ceramic matrix composites by deep learning
Xiangyun Gao, Lei Bao, Yi Zhang, et al.
Materials Characterization (2022) Vol. 196, pp. 112608-112608
Closed Access | Times Cited: 19
Review of microwave techniques used in the manufacture and fault detection of aircraft composites
Zhen Li, P. Wang, Arthur Haigh, et al.
The Aeronautical Journal (2020) Vol. 125, Iss. 1283, pp. 151-179
Closed Access | Times Cited: 31
A Brief Overview of Delamination Localization in Laminated Composites
Asif Khan, Heung Soo Kim
Multiscale Science and Engineering (2022) Vol. 4, Iss. 3, pp. 102-110
Closed Access | Times Cited: 17
Advanced structural health monitoring in carbon fiber-reinforced plastic using real-time self-sensing data and convolutional neural network architectures
In Yong Lee, Juhyeong Jang, Young-Bin Park
Materials & Design (2022) Vol. 224, pp. 111348-111348
Open Access | Times Cited: 15
Failure diagnosis system using a new nonlinear mapping augmentation approach for deep learning algorithm
Dong-Yoon Kim, Yeon-Jun Woo, Keonwook Kang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 108914-108914
Closed Access | Times Cited: 11
Vibration of a Nanocomposite Annular Sandwich Microplate Based on HSDT Using DQM
Mohsen Emdadi, Mehdi Mohammadimehr, Fatemeh Bargozini
Multiscale Science and Engineering (2023) Vol. 5, Iss. 3-4, pp. 180-194
Closed Access | Times Cited: 6
Machine learning approach for delamination detection with feature missing and noise polluted vibration characteristics
Yushu Li, Huichao Liu, Ke Zhou, et al.
Composite Structures (2022) Vol. 287, pp. 115335-115335
Closed Access | Times Cited: 9
Real-time terahertz characterization for composite delamination using a lightweight CPU adaptive network
Yafei Xu, Xingyu Wang, Hongkuan Zhou, et al.
Composites Part B Engineering (2022) Vol. 247, pp. 110354-110354
Closed Access | Times Cited: 9
Feature extraction and classification of multiple cracks from raw vibrational responses of composite beams using 1D-CNN network
Muhammad Irfan Shirazi, Samir Khatir, Djilali Boutchicha, et al.
Composite Structures (2023) Vol. 327, pp. 117701-117701
Closed Access | Times Cited: 5
Intelligent identification of machining damage in ceramic matrix composites based on deep learning
Weiming Mao, Kun Zhou
Composites Part A Applied Science and Manufacturing (2024) Vol. 187, pp. 108487-108487
Closed Access | Times Cited: 1
A two-step method for delamination detection in composite laminates using experience-based learning algorithm
Tongyi Zheng, Weili Luo, Huawei Tong, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 965-983
Closed Access | Times Cited: 7
Damage assessment of laminated composites using unsupervised autonomous features
Asif Khan, Heung Soo Kim
Journal of Thermoplastic Composite Materials (2023) Vol. 37, Iss. 6, pp. 2123-2148
Closed Access | Times Cited: 2
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