Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Image-based concrete crack detection in tunnels using deep fully convolutional networks
Yupeng Ren, Jisheng Huang, Zhiyou Hong, et al.
Construction and Building Materials (2019) Vol. 234, pp. 117367-117367
Closed Access | Times Cited: 379

Showing 1-25 of 379 citing articles:

Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 378
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
Dong‐Ho Kang, Sukhpreet S. Benipal, Dharshan Lokekere Gopal, et al.
Automation in Construction (2020) Vol. 118, pp. 103291-103291
Closed Access | Times Cited: 307
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
Mengqi Huang, Jelena Ninić, Qianbing Zhang
Tunnelling and Underground Space Technology (2020) Vol. 108, pp. 103677-103677
Open Access | Times Cited: 267
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: 233
Efficient attention-based deep encoder and decoder for automatic crack segmentation
Dong Hee Kang, Young‐Jin Cha
Structural Health Monitoring (2021) Vol. 21, Iss. 5, pp. 2190-2205
Open Access | Times Cited: 199
Attention-based generative adversarial network with internal damage segmentation using thermography
Rahmat Ali, Young‐Jin Cha
Automation in Construction (2022) Vol. 141, pp. 104412-104412
Closed Access | Times Cited: 153
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
UNet-based model for crack detection integrating visual explanations
Fangyu Liu, Linbing Wang
Construction and Building Materials (2022) Vol. 322, pp. 126265-126265
Closed Access | Times Cited: 110
Review on computer vision-based crack detection and quantification methodologies for civil structures
Jianghua Deng, Amardeep Singh, Yiyi Zhou, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129238-129238
Closed Access | Times Cited: 108
Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
K C Laxman, Nishat Tabassum, Li Ai, et al.
Construction and Building Materials (2023) Vol. 370, pp. 130709-130709
Closed Access | Times Cited: 79
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network
Chaoqun Xiang, Wei Wang, Lu Deng, et al.
Automation in Construction (2022) Vol. 140, pp. 104346-104346
Closed Access | Times Cited: 77
Scanning electron microscopy (SEM) image segmentation for microstructure analysis of concrete using U-net convolutional neural network
Srikanth Sagar Bangaru, Chao Wang, Xu Zhou, et al.
Automation in Construction (2022) Vol. 144, pp. 104602-104602
Closed Access | Times Cited: 73
Road damage detection using UAV images based on multi-level attention mechanism
Yingchao Zhang, Zhiwu Zuo, Xiaobin Xu, et al.
Automation in Construction (2022) Vol. 144, pp. 104613-104613
Closed Access | Times Cited: 69
A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios
Chaoqun Xiang, Jingjing Guo, Ran Cao, et al.
Automation in Construction (2023) Vol. 152, pp. 104894-104894
Closed Access | Times Cited: 63
Computer Vision Applications in Intelligent Transportation Systems: A Survey
Esma Dilek, Murat Dener
Sensors (2023) Vol. 23, Iss. 6, pp. 2938-2938
Open Access | Times Cited: 50
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 42
Tunnel lining detection and retrofitting
Yandan Jiang, Lai Wang, Bo Zhang, et al.
Automation in Construction (2023) Vol. 152, pp. 104881-104881
Open Access | Times Cited: 42
Multi-scale triple-attention network for pixelwise crack segmentation
Lei Yang, Suli Bai, Yanhong Liu, et al.
Automation in Construction (2023) Vol. 150, pp. 104853-104853
Closed Access | Times Cited: 41
Pixel-level road crack detection in UAV remote sensing images based on ARD-Unet
Yuxi Gao, Hongbin Cao, Weiwei Cai, et al.
Measurement (2023) Vol. 219, pp. 113252-113252
Closed Access | Times Cited: 40
A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
Peng Xiong, Xingu Zhong, Chao Zhao, et al.
Construction and Building Materials (2021) Vol. 299, pp. 123896-123896
Closed Access | Times Cited: 95
Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms
Habib Ahmed, Hung Manh La, Nenad Gucunski
Sensors (2020) Vol. 20, Iss. 14, pp. 3954-3954
Open Access | Times Cited: 92
Comparison of crack segmentation using digital image correlation measurements and deep learning
Amir Hossein Rezaie, Radhakrishna Achanta, Michele Godio, et al.
Construction and Building Materials (2020) Vol. 261, pp. 120474-120474
Open Access | Times Cited: 87
Semi-supervised semantic segmentation network for surface crack detection
Wenjun Wang, Chao Su
Automation in Construction (2021) Vol. 128, pp. 103786-103786
Closed Access | Times Cited: 87
Research and applications of artificial neural network in pavement engineering: A state-of-the-art review
Xu Yang, Jinchao Guan, Ling Ding, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2021) Vol. 8, Iss. 6, pp. 1000-1021
Open Access | Times Cited: 87
Machine vision-based surface crack analysis for transportation infrastructure
Wenbo Hu, Weidong Wang, Chengbo Ai, et al.
Automation in Construction (2021) Vol. 132, pp. 103973-103973
Closed Access | Times Cited: 82
Page 1 - Next Page

Scroll to top