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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:

Estimation of crack width based on shape‐sensitive kernels and semantic segmentation
Jun Lee, Sung‐Ho Hwang, Il Choi, et al.
Structural Control and Health Monitoring (2019) Vol. 27, Iss. 4
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Crack Detection and Quantification on Concrete Surface of Sewage Treatment Plant Based on Improved Deep Learning Method
Yuqin Wei, Yanhua Wang, Daoyuan Guo
ICCREM 2021 (2025), pp. 599-610
Closed Access
A railway tunnel structural monitoring methodology proposal for predictive maintenance
Behzad V. Farahani, Francisco Barros, Pedro J. Sousa, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 8
Open Access | Times Cited: 34
Evaluation of structural integrity of railway bridge using acceleration data and semi-supervised learning approach
Jun S. Lee, Hyun Min Kim, Sung Il Kim, et al.
Engineering Structures (2021) Vol. 239, pp. 112330-112330
Open Access | Times Cited: 28
BIM-driven data augmentation method for semantic segmentation in superpoint-based deep learning network
Ruoming Zhai, Jingui Zou, Yifeng He, et al.
Automation in Construction (2022) Vol. 140, pp. 104373-104373
Closed Access | Times Cited: 19
Clustering and diagnosis of crack images of tunnel linings via graph neural networks
Zhong Zhou, Shirong Zhou, Yidi Zheng, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-13
Closed Access | Times Cited: 3
Concrete crack segmentation based on convolution–deconvolution feature fusion with holistically nested networks
Shengjun Xu, Ming Hao, Guanghui Liu, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 8
Closed Access | Times Cited: 18
Automated Identification and Localization of Rail Internal Defects Based on Object Detection Networks
Sicheng Wang, Bin Yan, Xinyue Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 805-805
Open Access | Times Cited: 3
DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection
Alireza Saberironaghi, Jing Ren
Journal of Imaging (2024) Vol. 10, Iss. 5, pp. 100-100
Open Access | Times Cited: 3
Semi-automatic crack width measurement using an OrthoBoundary algorithm
Zhe Li, Yi Miao, Mehran Eskandari Torbaghan, et al.
Automation in Construction (2023) Vol. 158, pp. 105251-105251
Closed Access | Times Cited: 8
A novel approach for thermal crack detection and quantification in structural concrete using ripplet transform
A. Diana Andrushia, N. Anand, Prince Arulraj G
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 11
Open Access | Times Cited: 22
Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration
Kang Yang, Youliang Ding, Peng Sun, et al.
Structure and Infrastructure Engineering (2021) Vol. 19, Iss. 7, pp. 978-989
Closed Access | Times Cited: 16
Curve‐based crack detection using crack information gain
Qi Chen, Yuchun Huang, Xingxing Weng, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 8
Open Access | Times Cited: 14
Crack analysis of tall concrete wind towers using an ad-hoc deep multiscale encoder–decoder with depth separable convolutions under severely imbalanced data
Jianghua Deng, Linxin Hua, Ye Lü, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
A method for in-field railhead crack detection using digital image correlation
Knut Andreas Meyer, Daniel Gren, Johan Ahlström, et al.
International Journal of Rail Transportation (2022) Vol. 10, Iss. 6, pp. 675-694
Open Access | Times Cited: 7
Research on crack detection method of ballastless track slab based on infrared thermometer
Shuanglong Cui, Xiaogang Sun, Mei-sheng Luan, et al.
Infrared Physics & Technology (2021) Vol. 116, pp. 103772-103772
Closed Access | Times Cited: 9
Target Tracking from Weak Acoustic Signals in an Underwater Environment Using a Deep Segmentation Network
Won Shin, Dasol Kim, Hyunsuk Ko
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1584-1584
Open Access | Times Cited: 3
Applications of Deep Learning in Intelligent Construction
Yang Zhang, Ka‐Veng Yuen
Structural integrity (2021), pp. 227-245
Closed Access | Times Cited: 8
Visual Inspection of Irregular Cracks in Steel Structure by Double Gradient Fusion Algorithm Using Alternating Current Field Measurement Technique
Xin’an Yuan, Jianchao Zhao, Wei Li, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 8881-8890
Closed Access | Times Cited: 5
An overview of intelligent construction and maintenance technology for highway subgrade engineering
Junhui Zhang, Liyan Liu, Hao Yang
Intelligent Transportation Infrastructure (2023) Vol. 2
Open Access | Times Cited: 2
Automated fatigue crack detection of orthotropic steel decks using an improved mask region-based convolutional neural network approach
Yang Zhao, Pengyu Wang, Shunyao Cai, et al.
Advances in Structural Engineering (2023) Vol. 27, Iss. 1, pp. 17-34
Closed Access | Times Cited: 2
KESTİRİMCİ BAKIMDA MAKİNE ÖĞRENMESİ: LİTERATÜR ARAŞTIRMASI
Damla Rana DÜNDAR, İnci Sarıçiçek, E. Miné Cinar, et al.
Eskişehir Osmangazi Üniversitesi mühendislik ve mimarlık fakültesi dergisi :/Osmangazi Üniversitesi Mühendislik-Mimarlık Fakültesi dergisi (2021) Vol. 29, Iss. 2, pp. 256-276
Open Access | Times Cited: 5
Detection Based on Crack Key Point and Deep Convolutional Neural Network
Dejiang Wang, Jianji Cheng, Honghao Cai
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11321-11321
Open Access | Times Cited: 5
Crack Recognition in Masonry Structures: CNN Models with Limited Data Sets
Mazleenda Mazni, Abdul Rashid Husain, Mohd Ibrahim Shapiai, et al.
ELEKTRIKA- Journal of Electrical Engineering (2024) Vol. 23, Iss. 1, pp. 133-140
Open Access
Pixel-level automatic detection and quantification of running bands on rail surfaces
Mingjing Yue, Xiancai Yang, Yao Qian, et al.
Automation in Construction (2024) Vol. 165, pp. 105548-105548
Closed Access
Research on the Application of Machine Learning in Predictive Maintenance of Building Structures
Saibo Jin
Learning and analytics in intelligent systems (2024), pp. 381-391
Closed Access

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