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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:

Dam Crack Image Detection Model on Feature Enhancement and Attention Mechanism
Guoyan Xu, Xu Han, Yuwei Zhang, et al.
Water (2022) Vol. 15, Iss. 1, pp. 64-64
Open Access | Times Cited: 14

Showing 14 citing articles:

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 45
Safety Monitoring and Management of Reservoir and Dams
Chunhui Ma, Xiaoyan Xu, Jie Yang, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1078-1078
Open Access | Times Cited: 15
A real-time crack detection approach for underwater concrete structures using sonar and deep learning
Leiming Zheng, Huiming Tan, Chicheng Ma, et al.
Ocean Engineering (2025) Vol. 322, pp. 120582-120582
Closed Access
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
Research on Concrete Crack Detection in Hydropower Station Burial Engineering Based on Quantum Particle Technology
Yuanjiang Ma, Jun Fu, Qingsong Zhang, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 683-683
Open Access
Semantic segmentation of progressive micro-cracking in polymer composites using Attention U-Net architecture
Valeri Ivanov Petkov, Vivek Richards Pakkam Gabriel, Patrik Fernberg
Tomography of Materials and Structures (2024) Vol. 5, pp. 100028-100028
Open Access | Times Cited: 3
Vison Transformer-Based Automatic Crack Detection on Dam Surface
Jian Zhou, Guochuan Zhao, Yonglong Li
Water (2024) Vol. 16, Iss. 10, pp. 1348-1348
Open Access | Times Cited: 3
Research on Failure Modes and Causes of 100-m-High Core Wall Rockfill Dams
Yanan Li, Han Zhang, Yanling Yuan, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1809-1809
Open Access | Times Cited: 3
Deep learning-based method for detection and feature quantification of microscopic cracks on the surface of concrete dams
Xiaochun Lu, Qingquan Li, Jianyuan Li, et al.
Measurement (2024) Vol. 240, pp. 115587-115587
Closed Access | Times Cited: 2
Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection
Hangming Yuan, Tao Jin, Xiao‐Wei Ye
Sensors (2023) Vol. 23, Iss. 14, pp. 6295-6295
Open Access | Times Cited: 6
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
MoL-YOLOv7: Streamlining Industrial Defect Detection With an Optimized YOLOv7 Approach
G. Deepti Raj, B. Prabadevi
IEEE Access (2024) Vol. 12, pp. 117090-117101
Open Access | Times Cited: 1
Underwater Engineering Crack Identification based on Lightweight Convolutional Neural Network
Liulian Dai, Xiaodan Tian, Liya Yang
Procedia Computer Science (2024) Vol. 243, pp. 206-215
Open Access
Study on the Dynamic Mechanism of the Desiccation Crack Initiation and Propagation in Red Clay
Aijun Chen, Chaohua Li, Shanshan Zhao, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11156-11156
Open Access | Times Cited: 1
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