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:

OUR-Net: A Multi-Frequency Network With Octave Max Unpooling and Octave Convolution Residual Block for Pavement Crack Segmentation
Pengtao Li, Meihua Wang, Zhun Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 13833-13848
Closed Access | Times Cited: 6

Showing 6 citing articles:

Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model
Zixuan Zhang, Y G He, Di Hu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Lightweight decoder U-net crack segmentation network based on depthwise separable convolution
Yongbo Yu, Yage Zhang, Junyang Yu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 5
Closed Access | Times Cited: 2

Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures
R. Rakshitha, S Srinath, N. Vinay Kumar, et al.
Results in Engineering (2024) Vol. 25, pp. 103726-103726
Closed Access | Times Cited: 1

Classification of different size of potholes based on surface area using convolutional neural network
Chauhdary Fazeel Ahmad, Ammar T. Al-Sayegh, Abdullah Cheema, et al.
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access

Leveraging a deep learning generative model to enhance recognition of minor asphalt defects
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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