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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:

An attention-based progressive fusion network for pixelwise pavement crack detection
Mingyang Ma, Lei Yang, Yanhong Liu, et al.
Measurement (2024) Vol. 226, pp. 114159-114159
Closed Access | Times Cited: 13

Showing 13 citing articles:

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
AF2CN: Towards effective demoiréing from multi-resolution images
Shitan Asu, Yujin Dai, Shijie Li, et al.
Image and Vision Computing (2025), pp. 105467-105467
Closed Access
Dual-branch crack segmentation network with multi-shape kernel based on convolutional neural network and Mamba
Jianming Zhang, Dianwen Li, Zhigao Zeng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110536-110536
Closed Access
Advancing road safety: A lightweight feature fusion model for robust road crack segmentation
Ali Khan, Somaiya Khan, Mohammed A. M. Elhassan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103262-103262
Closed Access
Efficient crack segmentation with multi-decoder networks and enhanced feature fusion
Ammar M. Okran, Hatem A. Rashwan, Adel Saleh, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110697-110697
Closed Access
Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 4
Local–Global Feature Adaptive Fusion Network for Building Crack Detection
Yibin He, Zhiqiang Yuan, Xin Xia, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 7076-7076
Open Access | Times Cited: 4
Weak feature crack detection in high-resolution concrete dam surface image with LarkMNet
Jianyuan Li, Xiaochun Lu, Ping Zhang, et al.
Measurement (2024) Vol. 238, pp. 115327-115327
Open Access | Times Cited: 3
Crack detection based on attention mechanism with YOLOv5
Min‐Li Lan, Dan Yang, Shuangxi Zhou, et al.
Engineering Reports (2024)
Open Access | Times Cited: 2
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
Crack Detection and Segmentation for Bridge Structures Using Two-Stage Neural Network from Unmanned Aerial Vehicle Imagery
Ruitao Yang, Jia‐Yong Yu, Ruoxian Li, et al.
(2024)
Closed Access
Mlff-Internimage: Pavement Crack Segmentation Model Integrating Multi-Level Fusion Features
Guoyan Li, Junqing Yang, Jiao Hong, et al.
(2024)
Closed Access
A dense triple-level attention-based network for surgical instrument segmentation
Lei Yang, Hongyong Wang, Gui‐Bin Bian, et al.
Multimedia Tools and Applications (2024)
Closed Access
MLFF-InternImage: Pavement crack semantic segmentation model integrating multi-level fusion features
Guoyan Li, Junqing Yang, Jiao Hong, et al.
Measurement (2024) Vol. 241, pp. 115686-115686
Closed Access
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