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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:

Identification of concrete surface damage based on probabilistic deep learning of images
Yang Zhang, Yi‐Qing Ni, Xinyu Jia, et al.
Automation in Construction (2023) Vol. 156, pp. 105141-105141
Closed Access | Times Cited: 20

Showing 20 citing articles:

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: 27
Predictive models in machine learning for strength and life cycle assessment of concrete structures
A. Dinesh, B. Rahul Prasad
Automation in Construction (2024) Vol. 162, pp. 105412-105412
Closed Access | Times Cited: 12
A Review of Computer Vision-Based Monitoring Approaches for Construction Workers’ Work-Related Behaviors
Jiaqi Li, Miao Qi, Zheng Zou, et al.
IEEE Access (2024) Vol. 12, pp. 7134-7155
Open Access | Times Cited: 7
Deep learning-based acoustic emission data clustering for crack evaluation of welded joints in field bridges
Dan Li, Qingfeng Chen, Hao Wang, et al.
Automation in Construction (2024) Vol. 165, pp. 105540-105540
Closed Access | Times Cited: 7
A survey of generative models for image-based structural health monitoring in civil infrastructure
Gi-Hun Gwon, Hyung‐Jo Jung
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100138-100138
Open Access
A finite difference model for coupling thermo-hydro-vapor in the lining concrete exposed to high temperatures and its application
Feng Wang, Tenggen Xiong
International Journal of Thermal Sciences (2025) Vol. 211, pp. 109696-109696
Closed Access
Unsupervised damage localization method based on GAN-BiLSTM response modeling
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Engineering Structures (2025) Vol. 328, pp. 119714-119714
Closed Access
Remotely operated vehicle (ROV) underwater vision-based micro-crack inspection for concrete dams using a customizable CNN framework
Hao Liu, Jingyue Yuan, Qiubing Ren, et al.
Automation in Construction (2025) Vol. 173, pp. 106102-106102
Closed Access
Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length
Xinrui Ma, Xianlin Wang, Shi‐Zhi Chen
Automation in Construction (2024) Vol. 168, pp. 105754-105754
Closed Access | Times Cited: 3
Unsupervised quantitative structural damage identification method based on BiLSTM networks and probability distribution model
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118597-118597
Closed Access | Times Cited: 3
A data-driven prediction for concrete crack propagation path based on deep learning method
Jiawei Lei, Chengkan Xu, Chaofeng Lü, et al.
Case Studies in Construction Materials (2024), pp. e03883-e03883
Open Access | Times Cited: 2
Deep learning-integrated electromagnetic imaging for evaluating reinforced concrete structures in water-contact scenarios
Alan Putranto, Tzu-Hsuan Lin, Bo-Xun Huang
Automation in Construction (2024) Vol. 164, pp. 105459-105459
Closed Access | Times Cited: 1
Shallow defects identification for urban roads using interpretable dynamic broad network
Yang Zhang, Ruyang Yin, Xiao‐Mei Yang, et al.
Transportation Geotechnics (2024) Vol. 47, pp. 101273-101273
Closed Access | Times Cited: 1
Construction Activity Recognition Method Based on Object Detection, Attention Orientation Estimation, and Person Re-Identification
Jiaqi Li, Xuefeng Zhao, Lingjie Kong, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1644-1644
Open Access | Times Cited: 1
Extraction and measurement of recessive and conventional cracks in underground engineering concrete structures
Wenchong Tang, Liang Tang, Xiangxun Kong, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110010-110010
Closed Access | Times Cited: 1
Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform
Wei Ding, Jiangpeng Shu, Carl J. Debono, et al.
Automation in Construction (2024) Vol. 168, pp. 105829-105829
Closed Access | Times Cited: 1
Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
Faris Elghaish, Sandra Matarneh, Farzad Pour Rahimian, et al.
Developments in the Built Environment (2024), pp. 100587-100587
Open Access | Times Cited: 1
Accelerating Image Analysis in Immersive Devices Using Automatic Region Selection
Kaveh Malek, Mahsa Sanei, Ali Mohammadkhorasani, et al.
(2024)
Closed Access
Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction
Rui Wang, Xinxin Guo, Jiaxuan Liu, et al.
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access
Intelligent Recognition for Electromagnetic Targets
Mingqian Liu, Zhiqiang Wu, Ke Yang
(2024), pp. 283-287
Closed Access
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