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-driven insights into phase prediction for high entropy alloys
Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, et al.
Journal of Alloys and Metallurgical Systems (2024), pp. 100110-100110
Open Access | Times Cited: 8
Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, et al.
Journal of Alloys and Metallurgical Systems (2024), pp. 100110-100110
Open Access | Times Cited: 8
Showing 8 citing articles:
A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications
Reliance Jain, Sandeep Jain, Cheenepalli Nagarjuna, et al.
Metals and Materials International (2025)
Closed Access | Times Cited: 3
Reliance Jain, Sandeep Jain, Cheenepalli Nagarjuna, et al.
Metals and Materials International (2025)
Closed Access | Times Cited: 3
Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications
Sandeep Jain, Ayan Bhowmik, Jaichan Lee
Science and Technology of Advanced Materials (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 2
Sandeep Jain, Ayan Bhowmik, Jaichan Lee
Science and Technology of Advanced Materials (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 2
Reducing experimental dependency: Machine-learning-based prediction of Co effects on the mechanical properties of AlCrFeNiCox high-entropy alloys
Sandeep Jain, Reliance Jain, Naresh Kumar Wagri, et al.
Materials Today Communications (2025), pp. 112055-112055
Closed Access | Times Cited: 2
Sandeep Jain, Reliance Jain, Naresh Kumar Wagri, et al.
Materials Today Communications (2025), pp. 112055-112055
Closed Access | Times Cited: 2
Data-driven design of high bulk modulus high entropy alloys using machine learning
Sandeep Jain, Reliance Jain, Vinod Kumar, et al.
Journal of Alloys and Metallurgical Systems (2024) Vol. 8, pp. 100128-100128
Open Access | Times Cited: 8
Sandeep Jain, Reliance Jain, Vinod Kumar, et al.
Journal of Alloys and Metallurgical Systems (2024) Vol. 8, pp. 100128-100128
Open Access | Times Cited: 8
Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni-Cu-Co-Ti-Ta alloy
Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, et al.
Journal of Materials Research and Technology (2025)
Open Access
Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, et al.
Journal of Materials Research and Technology (2025)
Open Access
Design strategies and mechanical behaviour of high-strength eutectic high-entropy alloys: A comprehensive review
Sandeep Jain, Reliance Jain, Vinod Kumar, et al.
Journal of Alloys and Compounds (2025), pp. 180000-180000
Closed Access
Sandeep Jain, Reliance Jain, Vinod Kumar, et al.
Journal of Alloys and Compounds (2025), pp. 180000-180000
Closed Access
Machine learning prediction of magnetic property of lanthanum substituted bismuth ferrite multiferroic with experimental validation
Ishfaq Ahmed, Waseem Akhtar, Shanza Mubashir, et al.
Journal of Magnetism and Magnetic Materials (2025), pp. 173151-173151
Closed Access
Ishfaq Ahmed, Waseem Akhtar, Shanza Mubashir, et al.
Journal of Magnetism and Magnetic Materials (2025), pp. 173151-173151
Closed Access
Advances in Powder Metallurgy for High-Entropy Alloys
Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Hansung Lee, et al.
Hanguk bunmal jaeryo hakoeji (2024) Vol. 31, Iss. 6, pp. 480-492
Closed Access
Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Hansung Lee, et al.
Hanguk bunmal jaeryo hakoeji (2024) Vol. 31, Iss. 6, pp. 480-492
Closed Access
