Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Interpretable Predicting Creep Rupture Life of Superalloys: Enhanced by Domain‐Specific Knowledge
Jiawei Yin, Ziyuan Rao, Dayong Wu, et al.
Advanced Science (2024) Vol. 11, Iss. 11
Open Access | Times Cited: 11

Showing 11 citing articles:

Optimizing casting process using a combination of small data machine learning and phase-field simulations
Xiaolong Pei, Jiaqi Pei, Hua Hou, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
A study of creep rupture life prediction for P91 steel with machine learning method: model selection and sensitivity analysis
Jie Chen, Xinbao Liu, Lin Zhu, et al.
International Journal of Pressure Vessels and Piping (2025), pp. 105494-105494
Closed Access
A novel low-density and high-strength Fe-Ni-base high-entropy superalloy with stable γ/γ' coherent microstructure at 1023 K
Chao Liu, Yancheng Li, Jinlin Li, et al.
Scripta Materialia (2024) Vol. 252, pp. 116236-116236
Closed Access | Times Cited: 4
Prediction of optical properties of oxide glass combined with autoencoder and machine learning
Chengcheng Liu, Hang Su
Journal of Non-Crystalline Solids (2024) Vol. 642, pp. 123166-123166
Closed Access | Times Cited: 2
Knowledge-based intelligent ensemble monitoring method of grit wear in ultrasonic assisted grinding
Lida Zhu, Shaoqing Qin, Yanpeng Hao, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103043-103043
Closed Access | Times Cited: 1
New insights into oxidation and creep characteristics of T91 heat-resistant steel in martensitic and ferritic states
Hongjun Li, Ming Huang, Qin Yuan, et al.
Corrosion Science (2024), pp. 112487-112487
Closed Access
A Prediction Method for Local Creep Strain of Directionally Solidified Superalloys and Turbine Blades
Song Lu, Yikai Shao, Weiwei Zheng, et al.
˜The œminerals, metals & materials series (2024), pp. 512-521
Closed Access
Evaluating the Thermal Shock Resistance of SiC-C/CA Composites Through the Cohesive Finite Element Method and Machine Learning
Deng Qi-ping, Yu Xiong, Zhengchun Du, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11025-11025
Open Access
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
Processing, Defect Formation, Microstructure, and Mechanical Properties of Additively Manufactured Refractory Metals: A Review
Chunmei Ma, Yunwei Gui, Yongtian Wang, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access
Page 1

Scroll to top