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:
Machine Learning-Based Framework for Predicting Creep Rupture Life of Modified 9Cr-1Mo Steel
Mengyu Chai, Yuhang He, Yongquan Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4972-4972
Open Access | Times Cited: 7
Mengyu Chai, Yuhang He, Yongquan Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4972-4972
Open Access | Times Cited: 7
Showing 7 citing articles:
A breakthrough in creep lifetime prediction: Leveraging machine learning and service data
Arsalan Zare, Reza Khadem Hosseini
Scripta Materialia (2024) Vol. 245, pp. 116037-116037
Closed Access | Times Cited: 9
Arsalan Zare, Reza Khadem Hosseini
Scripta Materialia (2024) Vol. 245, pp. 116037-116037
Closed Access | Times Cited: 9
Discovering chemistry to creep rupture equations in Alloy 617 with machine learning
Md Abir Hossain, Liangyan Hao, Wei Xiong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Md Abir Hossain, Liangyan Hao, Wei Xiong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting creep failure life in adhesive-bonded single-lap joints using machine learning
Faizullah Jan, Marcin Kujawa, Piotr Paczos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Faizullah Jan, Marcin Kujawa, Piotr Paczos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning Algorithms for Predicting Mechanical Stiffness of Lattice Structure-Based Polymer Foam
Mohammad Javad Hooshmand, Chowdhury Sakib-Uz-Zaman, Mohammad Abu Hasan Khondoker
Materials (2023) Vol. 16, Iss. 22, pp. 7173-7173
Open Access | Times Cited: 11
Mohammad Javad Hooshmand, Chowdhury Sakib-Uz-Zaman, Mohammad Abu Hasan Khondoker
Materials (2023) Vol. 16, Iss. 22, pp. 7173-7173
Open Access | Times Cited: 11
Prediction of High-Temperature Creep Life of Austenitic Heat-Resistant Steels Based on Data Fusion
Limin Wei, Shuo Wang, Weixun Hao, et al.
Metals (2023) Vol. 13, Iss. 9, pp. 1630-1630
Open Access | Times Cited: 5
Limin Wei, Shuo Wang, Weixun Hao, et al.
Metals (2023) Vol. 13, Iss. 9, pp. 1630-1630
Open Access | Times Cited: 5
Performance prediction of 304 L stainless steel based on machine learning
Xiaohui Gao, Yafeng Ji, Pengfei Fan, et al.
Materials Today Communications (2024) Vol. 41, pp. 110666-110666
Closed Access | Times Cited: 1
Xiaohui Gao, Yafeng Ji, Pengfei Fan, et al.
Materials Today Communications (2024) Vol. 41, pp. 110666-110666
Closed Access | Times Cited: 1
Predicting creep life of CrMo pressure vessel steel using machine learning models with optimal feature subset selection
Mengyu Chai, Yuhang He, Junjie Wang, et al.
International Journal of Pressure Vessels and Piping (2024), pp. 105349-105349
Closed Access
Mengyu Chai, Yuhang He, Junjie Wang, et al.
International Journal of Pressure Vessels and Piping (2024), pp. 105349-105349
Closed Access
