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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:

Intelligent identification of girth welds defects in pipelines using neural networks with attention modules
Lushuai Xu, Shaohua Dong, Haotian Wei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107295-107295
Closed Access | Times Cited: 13

Showing 13 citing articles:

Unsupervised surface defect detection using dictionary-based sparse representation
Fanwu Meng, Tao Gong, Di Wu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110020-110020
Open Access
3DWDC-Net: An improved 3DCNN with separable structure and global attention for weld internal defect classification based on phased array ultrasonic tomography images
Shaofeng Wang, Erqing Zhang, Lu Zhou, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112564-112564
Closed Access
The influence of the outer pipe during internal MFL detection in subsea steel pipe-in-pipe
Haotian Wei, Shaohua Dong, Lushuai Xu, et al.
Journal of Magnetism and Magnetic Materials (2024) Vol. 600, pp. 172149-172149
Closed Access | Times Cited: 2
Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement
Deyan Yang, Hongquan Jiang, Song Ai, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109442-109442
Closed Access | Times Cited: 2
Automatic defect detection of pipelines based on improved OFG-YOLO algorithm
Denglian Yang, Chongsen Ma, Guangtao Yu, et al.
Measurement (2024), pp. 115847-115847
Closed Access | Times Cited: 1
A Quantification and Identification Method for Pipeline Dents Based on an Enhanced Multivariate Regression Prediction Algorithm
Tong Shi, Xiaoben Liu, Kun Li, et al.
(2024)
Closed Access
A New Hybrid Velocity Prediction Model for Pipeline Detectors Based on Bo-Ssa, Bilstm, and the Attention Mechanism
Junjie Ma, Yiming Li, Zhongchao Zhang, et al.
(2024)
Closed Access
Recognition of dispersed organic matter macerals using YOLOv5m model with convolutional block attention module
Yuanzhe Wu, Qingfeng Lu, Wenfeng Wang, et al.
Fuel (2024) Vol. 378, pp. 132899-132899
Closed Access
Welding Quality Target Detection Based on YOLOv9 Lightweight Model
Mingzhu Fu, Hongjun Wang, Wenxian Yang, et al.
Mechanisms and machine science (2024), pp. 1-12
Closed Access
Internal inspection method for crack defects in ferromagnetic pipelines under remanent magnetization
Haotian Wei, Shaohua Dong, Lushuai Xu, et al.
Measurement (2024) Vol. 242, pp. 115907-115907
Closed Access
A dynamic graph convolutional network-based framework for the unsteady operating states recognition of multi-product pipeline systems
Li Zhang, Lin Fan, Jianjun Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109785-109785
Closed Access
Research on Improved YOLOv5 Pipeline Defect Detection Algorithm
J. C. Zeng, Yiming Zheng, Xinping Jin, et al.
Journal of Pipeline Systems Engineering and Practice (2024) Vol. 16, Iss. 2
Closed Access
Road Crack Defect Detection Based on Improved YOLOv5
Shuai S. He, Ye Yuan
(2023), pp. 359-362
Closed Access
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