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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:

Modal Strain Energy-Based Structural Damage Detection Using Convolutional Neural Networks
Shuai Teng, Gongfa Chen, Gen Liu, et al.
Applied Sciences (2019) Vol. 9, Iss. 16, pp. 3376-3376
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
Mohsen Azimi, Armin Dadras Eslamlou, Gökhan Pekcan
Sensors (2020) Vol. 20, Iss. 10, pp. 2778-2778
Open Access | Times Cited: 465
Deep neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 1, pp. 379-405
Closed Access | Times Cited: 76
Concrete Crack Detection Based on Well-Known Feature Extractor Model and the YOLO_v2 Network
Shuai Teng, Zongchao Liu, Gongfa Chen, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 813-813
Open Access | Times Cited: 62
Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
Shuai Teng, Zongchao Liu, Xiaoda Li
Buildings (2022) Vol. 12, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 46
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm
Zuxiang Situ, Shuai Teng, Xiaoting Liao, et al.
Journal of Civil Structural Health Monitoring (2023) Vol. 14, Iss. 1, pp. 41-57
Closed Access | Times Cited: 24
Structural health monitoring of inland navigation structures and ports: a review on developments and challenges
Prateek Negi, Rolands Kromanis, Andries G. Dorée, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 605-645
Open Access | Times Cited: 22
Analysis on block chain financial transaction under artificial neural network of deep learning
Wenyou Gao, Chang Su
Journal of Computational and Applied Mathematics (2020) Vol. 380, pp. 112991-112991
Closed Access | Times Cited: 62
Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys
David Merayo, Álvaro Rodríguez-Prieto, Ana María Camacho
Materials (2020) Vol. 13, Iss. 22, pp. 5227-5227
Open Access | Times Cited: 56
Developing deep neural network for damage detection of beam-like structures using dynamic response based on FE model and real healthy state
Zohreh Mousavi, Mir Mohammad Ettefagh, Morteza Sadeghi, et al.
Applied Acoustics (2020) Vol. 168, pp. 107402-107402
Closed Access | Times Cited: 52
Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network
Shuai Teng, Gongfa Chen, Zongchao Liu, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 3950-3950
Open Access | Times Cited: 47
Structural damage detection based on convolutional neural networks and population of bridges
Shuai Teng, Xuedi Chen, Gongfa Chen, et al.
Measurement (2022) Vol. 202, pp. 111747-111747
Closed Access | Times Cited: 35
Unsupervised machine and deep learning methods for structural damage detection: A comparative study
Zilong Wang, Young‐Jin Cha
Engineering Reports (2022)
Open Access | Times Cited: 28
Damage detection in space truss structures using a third-level approach
Richard Frans, Yoyong Arfiadi
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Structural health monitoring of railway truss bridge under moving train load using decision tree models and residual neural networks
Sharan Kumar Sunchikala, S. C. Mohan, Sai Dheeraj Gopala, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Artificial neural network model to extract modal participation factors for damage localization in beam-like structures
Gyeongju Lee, Jin Woo Lee
Journal of Mechanical Science and Technology (2025)
Closed Access
Robust structural damage detection with deep multiple instance learning for sensor fault tolerance
Bradley Ezard, Ling Li, Hong Hao, et al.
Engineering Structures (2025) Vol. 331, pp. 119957-119957
Open Access
Digital image correlation-based structural state detection through deep learning
Shuai Teng, Gongfa Chen, Shaodi Wang, et al.
Frontiers of Structural and Civil Engineering (2022) Vol. 16, Iss. 1, pp. 45-56
Closed Access | Times Cited: 18
Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning
Shuai Teng, Gongfa Chen, Zhaocheng Yan, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2888-2909
Closed Access | Times Cited: 16
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy
Huy Lê, Tam T. Truong, D. Dinh-Cong, et al.
Frontiers of Structural and Civil Engineering (2021) Vol. 15, Iss. 6, pp. 1453-1479
Closed Access | Times Cited: 18
Structural Damage Features Extracted by Convolutional Neural Networks from Mode Shapes
Kefeng Zhong, Shuai Teng, Gen Liu, et al.
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4247-4247
Open Access | Times Cited: 20
Numerical and experimental structural damage detection in an offshore flare bridge using a proposed modal strain energy method
Mehdi Alavinezhad, Madjid Ghodsi Hassanabad, Mohammad Javad Ketabdari, et al.
Ocean Engineering (2022) Vol. 252, pp. 111055-111055
Closed Access | Times Cited: 11
An effective crack identification method in viscoelastic media using an inverse meshfree method
Mohammad Hamidpour, Mohammad Rahim Nami, Amir Khosravifard
International Journal of Mechanical Sciences (2021) Vol. 212, pp. 106834-106834
Closed Access | Times Cited: 14
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
Displacement and strain data-driven damage detection in multi-component and heterogeneous composite structures
A. Pagani, M. Enea
Mechanics of Advanced Materials and Structures (2022), pp. 1-16
Closed Access | Times Cited: 7
Damage identification using deep learning and long-gauge fiber Bragg grating sensors
Wenda Zhang, Dapeng Wang
Applied Optics (2020) Vol. 59, Iss. 33, pp. 10532-10532
Closed Access | Times Cited: 9
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