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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:

Autonomous assessment of delamination in laminated composites using deep learning and data augmentation
Asif Khan, Izaz Raouf, Yeong Rim Noh, et al.
Composite Structures (2022) Vol. 290, pp. 115502-115502
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022
Pankaj Chaupal, Prakash Rajendran
Composite Structures (2023) Vol. 311, pp. 116809-116809
Closed Access | Times Cited: 53
Delamination detection in CFRP laminates using deep transfer learning with limited experimental data
Muhammad Muzammil Azad, Prashant Kumar, Heung Soo Kim
Journal of Materials Research and Technology (2024) Vol. 29, pp. 3024-3035
Open Access | Times Cited: 29
Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network
Izaz Raouf, Prashant Kumar, Heung Soo Kim
Expert Systems with Applications (2024) Vol. 258, pp. 125137-125137
Closed Access | Times Cited: 14
Damage localization for composite structure using guided wave signals with Gramian angular field image coding and convolutional neural networks
Yunlai Liao, Xinlin Qing, Yihan Wang, et al.
Composite Structures (2023) Vol. 312, pp. 116871-116871
Closed Access | Times Cited: 36
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Muhammad Muzammil Azad, Sungjun Kim, Yu Bin Cheon, et al.
Advanced Composite Materials (2023) Vol. 33, Iss. 2, pp. 162-188
Closed Access | Times Cited: 35
Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures
Muhammad Muzammil Azad, Heung Soo Kim
Composite Structures (2023) Vol. 329, pp. 117792-117792
Closed Access | Times Cited: 26
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
Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107185-107185
Closed Access | Times Cited: 21
Deep learning for automatic assessment of breathing-debonds in stiffened composite panels using non-linear guided wave signals
Shirsendu Sikdar, Wiesław Ostachowicz, Abhishek Kundu
Composite Structures (2023) Vol. 312, pp. 116876-116876
Open Access | Times Cited: 19
Assessing Feasibility and Performance of Ultrasonic Guided Wave–Based Numerical–Experimental Methodology for Debonding Monitoring of Adhesive Joints: Application to an Internal Beam of a Battery Box
Andrea Calvo-Echenique, M. Sánchez, Emmanuel Duvivier, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm
Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, et al.
Advanced Science (2025)
Open Access
Laminated Composite Plate Model Considering Interfacial Imperfection Based on Quasi‐Conforming Element Technique
Zhiyuan Zhu, Xiaobin Li
International Journal for Numerical Methods in Engineering (2025) Vol. 126, Iss. 6
Closed Access
A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management
Salman Khalid, Jinwoo Song, Muhammad Muzammil Azad, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3837-3837
Open Access | Times Cited: 15
Tribological characteristics of additively manufactured 316 stainless steel against 100 cr6 alloy using deep learning
Munish Kumar Gupta, Mehmet Erdi Korkmaz, C. Sherin Shibi, et al.
Tribology International (2023) Vol. 188, pp. 108893-108893
Open Access | Times Cited: 13
Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning
Muhammad Muzammil Azad, Izaz Raouf, Muhammad Sohail, et al.
Machines (2024) Vol. 12, Iss. 9, pp. 589-589
Open Access | Times Cited: 4
A State-of-art on Damage Detection of Composite Structure Using Lamb Wave and Deep Learning Techniques
Olivier Munyaneza, Do-Gyeong Yuk, Jung Woo Sohn
International Journal of Precision Engineering and Manufacturing-Smart Technology (2025) Vol. 3, Iss. 1, pp. 65-82
Closed Access
Delamination Detection Framework for the Imbalanced Dataset in Laminated Composite Using Wasserstein Generative Adversarial Network-Based Data Augmentation
S. Kim, Muhammad Muzammil Azad, Jinwoo Song, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11837-11837
Open Access | Times Cited: 11
Addressing data scarcity using audio signal augmentation and deep learning for bolt looseness prediction
Nikesh Chelimilla, Viswanath Chinthapenta, Srikanth Korla
Smart Materials and Structures (2024) Vol. 33, Iss. 8, pp. 085012-085012
Closed Access | Times Cited: 3
Prediction of fatigue life of laminated composites by integrating artificial neural network model and non-dominated sorting genetic algorithm
A.H. Mirzaei, Parisa Haghi, M.M. Shokrieh
International Journal of Fatigue (2024) Vol. 188, pp. 108528-108528
Closed Access | Times Cited: 3
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
Anti-interference damage localization in composite overwrapped pressure vessels using machine learning and ultrasonic guided waves
Chaojie Hu, Bin Yang, Lulu Yang, et al.
NDT & E International (2023) Vol. 140, pp. 102961-102961
Closed Access | Times Cited: 9
Matrix cracking and delamination detection in GFRP laminates using pre-trained CNN models
Pankaj Chaupal, Shishir Rohit, Prakash Rajendran
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 3
Closed Access | Times Cited: 7
An efficient neural network approach for laminated composite plates using refined zigzag theory
V.‐T. Truong, Quang-Huy Le, Jaehun Lee, et al.
Composite Structures (2024) Vol. 348, pp. 118476-118476
Closed Access | Times Cited: 2
AWJ Parameters Optimisation via BBD-ISOA approach while Machining NFRP Composite
A. Tamilarasan, A. Renugambal
Materials and Manufacturing Processes (2023) Vol. 38, Iss. 9, pp. 1130-1143
Closed Access | Times Cited: 6
Structural vibration-based identification of delamination in CFRP cylinders using complex frequency domain correlation and CNN
Ran Gu, Yue Li, Shufeng Zhang, et al.
Composite Structures (2023) Vol. 321, pp. 117299-117299
Closed Access | Times Cited: 5
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