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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 systematic review of convolutional neural network-based structural condition assessment techniques
Sandeep Sony, Kyle Dunphy, Ayan Sadhu, et al.
Engineering Structures (2020) Vol. 226, pp. 111347-111347
Closed Access | Times Cited: 292

Showing 26-50 of 292 citing articles:

Machine Learning Based Quantitative Damage Monitoring of Composite Structure
Xinlin Qing, Yunlai Liao, Yihan Wang, et al.
International Journal of Smart and Nano Materials (2022) Vol. 13, Iss. 2, pp. 167-202
Open Access | Times Cited: 60
A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification
Cheng Yuan, Bing Xiong, Xiuquan Li, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 788-802
Closed Access | Times Cited: 57
The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges
Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 97-97
Open Access | Times Cited: 53
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Elaheh Afsaneh, Amin Sharifdini, Hadi Ghazzaghi, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 53
The classification and localization of crack using lightweight convolutional neural network with CBAM
Liujie Chen, Haodong Yao, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 275, pp. 115291-115291
Closed Access | Times Cited: 48
A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Ultrasonics (2022) Vol. 124, pp. 106776-106776
Open Access | Times Cited: 44
Artificial intelligence-based visual inspection system for structural health monitoring of cultural heritage
Mayank Mishra, Tanmoy Barman, G. V. Ramana
Journal of Civil Structural Health Monitoring (2022) Vol. 14, Iss. 1, pp. 103-120
Closed Access | Times Cited: 41
Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 34
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Computing the characteristics of defects in wooden structures using image processing and CNN
Rana Ehtisham, Waqas Qayyum, Charles V. Camp, et al.
Automation in Construction (2023) Vol. 158, pp. 105211-105211
Closed Access | Times Cited: 28
Image-Based Structural Health Monitoring: A Systematic Review
John Mark G. Payawal, Dong Keon Kim
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 968-968
Open Access | Times Cited: 27
Barely visible impact damage detection in composite structures using deep learning networks with varying complexities
Ali Tabatabaeian, Bruno Jerkovic, Philip G. Harrison, et al.
Composites Part B Engineering (2023) Vol. 264, pp. 110907-110907
Open Access | Times Cited: 25
Post-earthquake damage assessment for RC columns using crack image complexity measures
Sara Jamshidian, Mohammadjavad Hamidia
Bulletin of Earthquake Engineering (2023) Vol. 21, Iss. 13, pp. 6029-6063
Closed Access | Times Cited: 24
Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk
Cheng‐Wei Fei, Yao-Jia Han, Jiongran Wen, et al.
Propulsion and Power Research (2023) Vol. 13, Iss. 1, pp. 12-25
Open Access | Times Cited: 23
Seismic damage identification of high arch dams based on an unsupervised deep learning approach
Xiangyu Cao, Liang Chen, Jianyun Chen, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 168, pp. 107834-107834
Closed Access | Times Cited: 22
Automatic assessment of freeze-thaw damage in concrete structures using piezoelectric-based active sensing approach and deep learning technique
Xiaolong Liao, Qixiang Yan, Liufeng Su, et al.
Engineering Structures (2024) Vol. 302, pp. 117453-117453
Closed Access | Times Cited: 12
Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer
Hubing Li, Haowei Zhang, Hong Zhu, et al.
Engineering Structures (2024) Vol. 307, pp. 117903-117903
Closed Access | Times Cited: 12
Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure
M. Sakr, Ayan Sadhu
Smart Materials and Structures (2024) Vol. 33, Iss. 3, pp. 033001-033001
Open Access | Times Cited: 11
Post-earthquake structural damage assessment and damage state evaluation for RC structures with experimental validation
Hanqing Zhang, Yves Reuland, Jiazeng Shan, et al.
Engineering Structures (2024) Vol. 304, pp. 117591-117591
Closed Access | Times Cited: 8
Review of Image-Processing-Based Technology for Structural Health Monitoring of Civil Infrastructures
J.B. Kim, Hee-Wook Choi, Sung-Keun Kim, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 93-93
Open Access | Times Cited: 8
Automating Dataset Generation for Object Detection in the Construction Industry with AI and Robotic Process Automation (RPA)
Erik Araya-Aliaga, Edison Atencio, Fidel Lozano, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 410-410
Open Access | Times Cited: 1
Damage identification of steel-concrete composite beams based on modal strain energy changes through general regression neural network
Faraz Sadeghi, Yang Yu, Xinqun Zhu, et al.
Engineering Structures (2021) Vol. 244, pp. 112824-112824
Closed Access | Times Cited: 48
Industrial Laser Welding Defect Detection and Image Defect Recognition Based on Deep Learning Model Developed
Honggui Deng, Cheng Yu, Yuxin Feng, et al.
Symmetry (2021) Vol. 13, Iss. 9, pp. 1731-1731
Open Access | Times Cited: 42
Multiclass Damage Identification in a Full-Scale Bridge Using Optimally Tuned One-Dimensional Convolutional Neural Network
Sandeep Sony, Sunanda Gamage, Ayan Sadhu, et al.
Journal of Computing in Civil Engineering (2021) Vol. 36, Iss. 2
Open Access | Times Cited: 42
Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming?
Anastasia Fotaki, Esther Puyol‐Antón, Amedeo Chiribiri, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 35

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