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OpenAlex Citation Counts

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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 Hardness Prediction of High-Entropy Alloys for Laser Additive Manufacturing
Wenhan Zhu, Wenyi Huo, Shiqi Wang, et al.
JOM (2023) Vol. 75, Iss. 12, pp. 5537-5548
Open Access | Times Cited: 15

Showing 15 citing articles:

Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
Lorena Espina-Romero, Humberto Gutiérrez Hurtado, Doile Enrique Ríos Parra, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 60-60
Open Access | Times Cited: 7
Designing cobalt-free face-centered cubic high-entropy alloys: A strategy using d-orbital energy level
Yulin Li, Artur Olejarz, Ł. Kurpaska, et al.
International Journal of Refractory Metals and Hard Materials (2024) Vol. 124, pp. 106834-106834
Open Access | Times Cited: 6
Body-centered cubic phase stability in cobalt-free refractory high-entropy alloys
Yulin Li, Ł. Kurpaska, Eryang Lu, et al.
Results in Physics (2024) Vol. 60, pp. 107688-107688
Open Access | Times Cited: 5
Machine-Learning Synergy in High-Entropy Alloys: A Review
Sally Elkatatny, Walaa Abd‐Elaziem, Tamer A. Sebaey, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 3976-3997
Closed Access | Times Cited: 5
Deep Learning-Based Framework for Efficient Design of Multicomponent High Hardness High Entropy Alloys
Yuexing Han, Hui Wang, Pengfei Xu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Data-driven body-centered cubic phase prediction in cobalt-free high-entropy alloys
Xuliang Luo, Yulin Li, Tero Mäkinen, et al.
Materials Today Communications (2025), pp. 112464-112464
Closed Access
Exploiting Transformer-Based Networks and Boosting Algorithms for Ultralow Compressible Boride Design
Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Jianjun Hu, et al.
The Journal of Physical Chemistry C (2025)
Closed Access
Prediction of material toughness using ensemble learning and data augmentation
Mykyta Smyrnov, Florian Funcke, Evgeniya Kabliman
Philosophical Magazine Letters (2024) Vol. 104, Iss. 1
Open Access | Times Cited: 3
Recent machine learning-driven investigations into high entropy alloys: a comprehensive review
Yonggang Yan, Xunxiang Hu, Yalin Liao, et al.
Journal of Alloys and Compounds (2024), pp. 177823-177823
Closed Access | Times Cited: 3
Stepping Out of the Teens: From Innovations and Potential to Applications in High-Entropy Alloys
Roopam Jain, Reshma Sonkusare, N.P. Gurao
Transactions of Indian National Academy of Engineering (2024) Vol. 9, Iss. 3, pp. 567-584
Closed Access | Times Cited: 2
High entropy oxides for reversible lithium-ion battery: a brief review
Soumyadeep Sur, G. Anand, Shikhar Krishn Jha
Materials Research Express (2024) Vol. 11, Iss. 7, pp. 072003-072003
Open Access | Times Cited: 1
Development of Machine Learning Regression Models for the Prediction of Tensile Strength of Friction Stir Processed AA8090/SiC Surface Composites
Karthik Adiga, Mervin A. Herbert, Shrikantha S. Rao, et al.
Materials Research Express (2024) Vol. 11, Iss. 7, pp. 076517-076517
Open Access
Supervised machine learning for multi-principal element alloy structural design
J. Berry, Katerina A. Christofidou
Materials Science and Technology (2024)
Open Access
Plastic deformations in NiCoFe medium-entropy alloy investigated using nanoindentation simulations
Qinqin Xu, F. J. Domínguez-Gutiérrez, Wenyi Huo, et al.
Results in Physics (2024), pp. 107989-107989
Open Access
Assessing the Process-Property Relationship in Laser Powder Bed Fusion of AlSi10Mg Using Kalman Filter-Based Machine Learning Algorithms
Akshansh Mishra, Vijaykumar S. Jatti, Eyob Messele Sefene
Journal of Materials Engineering and Performance (2024)
Closed Access
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