
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:
Prediction of hardness or yield strength for ODS steels based on machine learning
Tian-Xing Yang, Peng Dou
Materials Characterization (2024) Vol. 211, pp. 113886-113886
Closed Access | Times Cited: 4
Tian-Xing Yang, Peng Dou
Materials Characterization (2024) Vol. 211, pp. 113886-113886
Closed Access | Times Cited: 4
Showing 4 citing articles:
Additive manufacturing of FeCrAl alloys for nuclear applications - A focused review
Selvamurugan Palaniappan, Sameehan S. Joshi, Shashank Sharma, et al.
Nuclear Materials and Energy (2024) Vol. 40, pp. 101702-101702
Open Access | Times Cited: 10
Selvamurugan Palaniappan, Sameehan S. Joshi, Shashank Sharma, et al.
Nuclear Materials and Energy (2024) Vol. 40, pp. 101702-101702
Open Access | Times Cited: 10
Effects of hybrid alloy compositions on the dispersion morphology and crystal & interface structures of Y–O oxides in FeCrAl ODS steel
Zhan-Xing Li, Z. Liao, Junyi Liu, et al.
Vacuum (2025), pp. 114323-114323
Closed Access
Zhan-Xing Li, Z. Liao, Junyi Liu, et al.
Vacuum (2025), pp. 114323-114323
Closed Access
An optimized machine-learning tool to predict heat treatment response of hot-work tool steels
Venu Yarasua, Bojan Podgornika
Results in Engineering (2025), pp. 105260-105260
Open Access
Venu Yarasua, Bojan Podgornika
Results in Engineering (2025), pp. 105260-105260
Open Access
Data–Driven Stress Prediction and Microstructure Characterization During Hot Deformation of Al–Zn–Mg–Cu Alloys
Min Bai, Xiaodong Wu, Lingfei Cao, et al.
Metals and Materials International (2025)
Closed Access
Min Bai, Xiaodong Wu, Lingfei Cao, et al.
Metals and Materials International (2025)
Closed Access
Extreme high accuracy prediction and design of Fe-C-Cr-Mn-Si steel using machine learning
Hao Wu, Jianyuan Zhang, Jintao Zhang, et al.
Materials & Design (2024), pp. 113473-113473
Open Access | Times Cited: 1
Hao Wu, Jianyuan Zhang, Jintao Zhang, et al.
Materials & Design (2024), pp. 113473-113473
Open Access | Times Cited: 1
Predicting Mechanical Properties of Low-Alloy Steels Using Features Extracted from Electron Backscatter Diffraction Characterization
Huitao Yu, Jingxiao Zhao, Xiucheng Li, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 6494-6507
Open Access
Huitao Yu, Jingxiao Zhao, Xiucheng Li, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 6494-6507
Open Access