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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 1-25 of 57 citing articles:

Structural crack detection using deep convolutional neural networks
Ali Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, et al.
Automation in Construction (2021) Vol. 133, pp. 103989-103989
Closed Access | Times Cited: 227
Novel visual crack width measurement based on backbone double-scale features for improved detection automation
Yunchao Tang, Zhaofeng Huang, Zheng Chen, et al.
Engineering Structures (2022) Vol. 274, pp. 115158-115158
Open Access | Times Cited: 145
Classification and analysis of deep learning applications in construction: A systematic literature review
Rana Khallaf, Mohamed Khallaf
Automation in Construction (2021) Vol. 129, pp. 103760-103760
Closed Access | Times Cited: 120
Crack detection using fusion features‐based broad learning system and image processing
Yang Zhang, Ka‐Veng Yuen
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 12, pp. 1568-1584
Closed Access | Times Cited: 104
Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network
Zhong Zhou, Junjie Zhang, Chenjie Gong
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2491-2510
Open Access | Times Cited: 96
Review of robot-based damage assessment for offshore wind turbines
Yiming Liu, Muhammad R. Hajj, Yi Bao
Renewable and Sustainable Energy Reviews (2022) Vol. 158, pp. 112187-112187
Closed Access | Times Cited: 75
Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel-Level Accuracy
Zihao Wu, Yunchao Tang, Bo Hong, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 64
Real-time remote measurement of distance using ultra-wideband (UWB) sensors
Yiming Liu, Yi Bao
Automation in Construction (2023) Vol. 150, pp. 104849-104849
Closed Access | Times Cited: 41
Review of image-based analysis and applications in construction
Kareem Mostafa, Tarek Hegazy
Automation in Construction (2020) Vol. 122, pp. 103516-103516
Closed Access | Times Cited: 86
A deep learning-based approach for refined crack evaluation from shield tunnel lining images
Shuai Zhao, Dongming Zhang, Yadong Xue, et al.
Automation in Construction (2021) Vol. 132, pp. 103934-103934
Closed Access | Times Cited: 80
Semantic segmentation of bridge components based on hierarchical point cloud model
Jun S. Lee, Jeong-Jun Park, Young-Moo Ryu
Automation in Construction (2021) Vol. 130, pp. 103847-103847
Open Access | Times Cited: 69
Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings
Shuai Zhao, Mahdi Shadabfar, Dongming Zhang, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 6
Open Access | Times Cited: 63
Data-driven damage assessment of reinforced concrete shear walls using visual features of damage
Sina Mansourdehghan, Kiarash M. Dolatshahi, Amir Hossein Asjodi
Journal of Building Engineering (2022) Vol. 53, pp. 104509-104509
Closed Access | Times Cited: 47
MobileNetV3-BLS: A broad learning approach for automatic concrete surface crack detection
Jing Zhang, Yuanyuan Cai, Dong Ho Yang, et al.
Construction and Building Materials (2023) Vol. 392, pp. 131941-131941
Closed Access | Times Cited: 22
Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
Wenjun Wang, Chao Su
IEEE Access (2020) Vol. 8, pp. 206548-206558
Open Access | Times Cited: 60
Developing a new deep learning CNN model to detect and classify highway cracks
Faris Elghaish, Saeed Talebi, Essam Abdellatef, et al.
Journal of Engineering Design and Technology (2021) Vol. 20, Iss. 4, pp. 993-1014
Open Access | Times Cited: 40
The application of deep learning in bridge health monitoring: a literature review
Guo-Qing Zhang, Bin Wang, Jun Li, et al.
Advances in Bridge Engineering (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 29
A hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images
Shuai Zhao, Guokai Zhang, Dongming Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 12, pp. 3105-3117
Open Access | Times Cited: 21
A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference
Jianghua Deng, Ye Lü, Vincent CS Lee
Measurement (2023) Vol. 216, pp. 112892-112892
Closed Access | Times Cited: 20
Modern Tendencies in Vehicle-Based Condition Monitoring of the Railway Track
Héctor A. Fernández-Bobadilla, Ullrich Martin
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-44
Closed Access | Times Cited: 16
Vision Measurement of Tunnel Structures with Robust Modelling and Deep Learning Algorithms
Xiangyang Xu, Hao Yang
Sensors (2020) Vol. 20, Iss. 17, pp. 4945-4945
Open Access | Times Cited: 49
Towards automated detection and quantification of concrete cracks using integrated images and lidar data from unmanned aerial vehicles
Yujie Yan, Zhong Mao, Jiahao Wu, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 8
Closed Access | Times Cited: 38
Crack Segmentation Network using Additive Attention Gate—CSN-II
Ali Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105130-105130
Closed Access | Times Cited: 25
A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance
Lorenzo De Donato, Francesco Flammini, Stefano Marrone, et al.
IEEE Access (2022) Vol. 10, pp. 65376-65400
Open Access | Times Cited: 23
A Novel Hybrid Approach for Concrete Crack Segmentation Based on Deformable Oriented-YOLOv4 and Image Processing Techniques
Zengsheng He, Cheng Su, Yichuan Deng
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1892-1892
Open Access | Times Cited: 4
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