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:
A machine-learning method to accurately recognize the leakage pressure-drop signals in trunk natural gas pipelines
Xia Wu, Lei Mou, Wenlong Jia, et al.
Process Safety and Environmental Protection (2023) Vol. 179, pp. 847-863
Closed Access | Times Cited: 3
Xia Wu, Lei Mou, Wenlong Jia, et al.
Process Safety and Environmental Protection (2023) Vol. 179, pp. 847-863
Closed Access | Times Cited: 3
Showing 3 citing articles:
Multi-sensor cross-domain fault diagnosis method for leakage of ship pipeline valves
Zhengjie Liu, Xiaohui Yang, Yingchun Xie, et al.
Ocean Engineering (2024) Vol. 299, pp. 117211-117211
Closed Access | Times Cited: 7
Zhengjie Liu, Xiaohui Yang, Yingchun Xie, et al.
Ocean Engineering (2024) Vol. 299, pp. 117211-117211
Closed Access | Times Cited: 7
A data-driven state identification method for intelligent control of the joint station export system
Guangli Xu, Yifu Wang, Zhihao Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Guangli Xu, Yifu Wang, Zhihao Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Microleakage localization method for subsea production manifold based on transient pressure wave
Xuelin Liu, Baoping Cai, Yi Jiang, et al.
Energy (2025), pp. 135695-135695
Closed Access
Xuelin Liu, Baoping Cai, Yi Jiang, et al.
Energy (2025), pp. 135695-135695
Closed Access
Data augmentation using SMOTE technique: Application for prediction of burst pressure of hydrocarbons pipeline using supervised machine learning models
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Masdi Muhammad, et al.
Results in Engineering (2024), pp. 103233-103233
Open Access | Times Cited: 2
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Masdi Muhammad, et al.
Results in Engineering (2024), pp. 103233-103233
Open Access | Times Cited: 2
