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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:

Dual attention deep learning network for automatic steel surface defect segmentation
Yue Pan, L. Zhang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 11, pp. 1468-1487
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks
Hong-Hu Chu, Wei Wang, Lu Deng
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 14, pp. 1914-1931
Closed Access | Times Cited: 90
Steel Surface Defect Recognition: A Survey
Xin Wen, Jvran Shan, Yu He, et al.
Coatings (2022) Vol. 13, Iss. 1, pp. 17-17
Open Access | Times Cited: 82
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: 66
Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects
Duo Ma, Hongyuan Fang, Niannian Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2109-2127
Closed Access | Times Cited: 53
A lightweight encoder–decoder network for automatic pavement crack detection
Guijie Zhu, Jiacheng Liu, Zhun Fan, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 12, pp. 1743-1765
Open Access | Times Cited: 42
Task-aware meta-learning paradigm for universal structural damage segmentation using limited images
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Engineering Structures (2023) Vol. 284, pp. 115917-115917
Closed Access | Times Cited: 41
Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 29
Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance
Shanglian Zhou, Carlos Canchila, Wei Song
Automation in Construction (2022) Vol. 146, pp. 104678-104678
Closed Access | Times Cited: 60
Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network
Jing Shang, Jie Xu, Allen Zhang, et al.
Measurement (2023) Vol. 208, pp. 112475-112475
Closed Access | Times Cited: 37
Automated joint 3D reconstruction and visual inspection for buildings using computer vision and transfer learning
Tao Wang, Vincent J.L. Gan
Automation in Construction (2023) Vol. 149, pp. 104810-104810
Open Access | Times Cited: 34
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
A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation
Yue Pan, Jianjun Qin, Limao Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 5, pp. 656-678
Closed Access | Times Cited: 28
A deep‐learning framework for classifying the type, location, and severity of bridge damage using drive‐by measurements
Robert Corbally, Abdollah Malekjafarian
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 6, pp. 852-871
Open Access | Times Cited: 22
A hybrid virtual–real traffic simulation approach to reproducing the spatiotemporal distribution of bridge loads
Junyong Zhou, Wenrong Wu, Colin C. Caprani, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 11, pp. 1699-1723
Open Access | Times Cited: 11
Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality
Xiaojing Zhou, Yue Pan, Jianjun Qin, et al.
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105605-105605
Closed Access | Times Cited: 9
Pixel-wise crack defect segmentation with dual-encoder fusion network
Suli Bai, Mingyang Ma, Lei Yang, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136179-136179
Closed Access | Times Cited: 8
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach
Kunyu Wang, Xianguo Wu, Limao Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101854-101854
Closed Access | Times Cited: 33
The Amalgamation of the Object Detection and Semantic Segmentation for Steel Surface Defect Detection
Mansi Sharma, Jongtae Lim, Hansung Lee
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6004-6004
Open Access | Times Cited: 32
A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM
Sihao Yu, Zixin Zhang, Shuaifeng Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 65-80
Open Access | Times Cited: 20
Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning
L. Minh Dang, Hanxiang Wang, Yanfen Li, et al.
Construction and Building Materials (2023) Vol. 371, pp. 130792-130792
Closed Access | Times Cited: 19
A sub-region Unet for weak defects segmentation with global information and mask-aware loss
Wenbin Zhu, Rui Liang, Jiangxin Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106011-106011
Closed Access | Times Cited: 19
Semantic Segmentation of Metal Surface Defects and Corresponding Strategies
Zhao Zhang, Weibo Wang, Xiaoyan Tian
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 17
Informativeness‐guided active learning for deep learning–based façade defects detection
Jingjing Guo, Qian Wang, Shu Su, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2408-2425
Closed Access | Times Cited: 16
Semi-supervised semantic image segmentation by deep diffusion models and generative adversarial networks
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer‐Hemsi, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 11
Closed Access | Times Cited: 7
Visualizing and quantifying small and nonstationary structural motions in video measurement
Enjian Cai, Yi Zhang, Ser Tong Quek
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 135-159
Closed Access | Times Cited: 23
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