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:

Multi-modal cascade detection of pipeline defects based on deep transfer metric learning
Boxuan Gao, Hong Zhao, Xingyuan Miao
Engineering Failure Analysis (2024) Vol. 160, pp. 108216-108216
Closed Access | Times Cited: 8

Showing 8 citing articles:

Application of machine learning to leakage detection of fluid pipelines in recent years: A review and prospect
Jianwu Chen, Xiao Wu, Zhibo Jiang, et al.
Measurement (2025), pp. 116857-116857
Closed Access | Times Cited: 1

A DSF-net-based approach to dual-branch instance segmentation of weak bridge defects
He Zhang, Ruihong Shen, Jiawei Lei, et al.
Engineering Structures (2025) Vol. 327, pp. 119583-119583
Closed Access

Inner wall defect detection in oil and gas pipelines using point cloud data segmentation
Zhouyu Yan, Hong Zhao
Automation in Construction (2025) Vol. 173, pp. 106098-106098
Closed Access

Corrosion Depth Prediction of a Buried Pipeline Based on TEM and MSDBO-BiLSTM
Fulin Song, Hong Zhao, Xingyuan Miao, et al.
Journal of Pipeline Systems Engineering and Practice (2025) Vol. 16, Iss. 2
Closed Access

Research of Highway Bridge Settlement Monitoring Technology based on Machine Vision
Zhao Qian, Chunhao Hu, Guoqing Xia, et al.
Journal of Research in Science and Engineering (2024) Vol. 6, Iss. 7, pp. 29-32
Open Access | Times Cited: 1

Identification of Coating Layer Pipeline Defects Based on the GA-SENet-ResNet18 Model
S.. Wang, Wei Liang, Fang Shi
International Journal of Pressure Vessels and Piping (2024), pp. 105327-105327
Closed Access

Anomaly triplet-net: progress recognition model using deep metric learning considering occlusion for manual assembly work
Takumi Kitsukawa, Katsutoshi Miura, Shigeki Yumoto, et al.
Advanced Robotics (2024) Vol. 39, Iss. 2, pp. 89-101
Closed Access

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