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:
Predicting failure pressure of corroded gas pipelines: A data-driven approach using machine learning
Rui Xiao, Tarek Zayed, Mohamed A. Meguid, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 1424-1441
Closed Access | Times Cited: 6
Rui Xiao, Tarek Zayed, Mohamed A. Meguid, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 1424-1441
Closed Access | Times Cited: 6
Showing 6 citing articles:
Estimating Axial Bearing Capacity of Driven Piles Using Tuned Random Forest Frameworks
Belal Mohammadi Yaychi, Mahzad Esmaeili‐Falak
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 11
Belal Mohammadi Yaychi, Mahzad Esmaeili‐Falak
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 11
Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms
Qiuli Li, Yuchi Leng, Azher M. Abed, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 876-891
Closed Access | Times Cited: 7
Qiuli Li, Yuchi Leng, Azher M. Abed, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 876-891
Closed Access | Times Cited: 7
Residual strength prediction of corroded pipelines based on physics-informed machine learning and domain generalization
Tingting Wu, Xingyuan Miao, Fulin Song
npj Materials Degradation (2025) Vol. 9, Iss. 1
Open Access
Tingting Wu, Xingyuan Miao, Fulin Song
npj Materials Degradation (2025) Vol. 9, Iss. 1
Open Access
Rapid failure risk analysis of corroded gas pipelines using machine learning
Rui Xiao, Tarek Zayed, Mohamed A. Meguid, et al.
Ocean Engineering (2024) Vol. 313, pp. 119433-119433
Closed Access | Times Cited: 2
Rui Xiao, Tarek Zayed, Mohamed A. Meguid, et al.
Ocean Engineering (2024) Vol. 313, pp. 119433-119433
Closed Access | Times Cited: 2
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
The effect of corrosion defects on the collapse pressure of submarine pipelines
Haifeng Tian, Feng Guan, Feng Wan, et al.
Ocean Engineering (2024) Vol. 310, pp. 118647-118647
Closed Access | Times Cited: 2
Haifeng Tian, Feng Guan, Feng Wan, et al.
Ocean Engineering (2024) Vol. 310, pp. 118647-118647
Closed Access | Times Cited: 2
