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:

Visual inspection system for crack defects in metal pipes
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81877-81894
Closed Access | Times Cited: 6

Showing 6 citing articles:

Segmentation of Inner Surface Defects of Stainless Steel Pipes Based on Semi-bilateral Efficient Self-Attention Network
Hui Wang, Zhang Cheng-bo, Yangyu Wang, et al.
Journal of Nondestructive Evaluation (2025) Vol. 44, Iss. 2
Closed Access

Design of a Prototype of an Innovative 3D Scanning Technology for Use in the Digitization of Hard-to-Reach Places
Adrián Vodilka, Marek Kočiško, Jakub Kaščák
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2817-2817
Open Access

Data-Driven Semantic Segmentation Method for Detecting Metal Surface Defects
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15676-15689
Closed Access | Times Cited: 2

GAF-Net: A New Automated Segmentation Method Based on Multiscale Feature Fusion and Feedback module
Long Wen, Yuxing Ye, Lei Zuo
Pattern Recognition Letters (2024)
Closed Access | Times Cited: 2

Detection Method of Stator Coating Quality of Flat Wire Motor Based on Improved YOLOv8s
Hongping Wang, Gong Chen, Xin Rong, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5392-5392
Open Access

Dual-flow feature enhancement network for robust anomaly detection in stainless steel pipe welding
Runlong Cao, Jianqi Zhang, Shen Yun, et al.
The Visual Computer (2024)
Closed Access

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