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:
Unraveling phase prediction in high entropy alloys: A synergy of machine learning, deep learning, and ThermoCalc, validation by experimental analysis
Mokali Veeresham, Narayanaswamy Sake, Unhae Lee, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 1744-1755
Open Access | Times Cited: 6
Mokali Veeresham, Narayanaswamy Sake, Unhae Lee, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 1744-1755
Open Access | Times Cited: 6
Showing 6 citing articles:
Enhancing high-entropy alloy performance: Predictive modelling of wear rates with machine learning
Madabhushi Siri Niketh, N. Radhika, Adeolu Adesoji Adediran, et al.
Results in Engineering (2024) Vol. 23, pp. 102387-102387
Open Access | Times Cited: 5
Madabhushi Siri Niketh, N. Radhika, Adeolu Adesoji Adediran, et al.
Results in Engineering (2024) Vol. 23, pp. 102387-102387
Open Access | Times Cited: 5
Machine learning assisted design of Fe-Ni-Cr-Al based multi-principal elements alloys with ultra-high microhardness and unexpected wear resistance
Ling Qiao, Jingchuan Zhu, Junya Inoue
Journal of Materials Research and Technology (2024) Vol. 33, pp. 8222-8231
Open Access | Times Cited: 4
Ling Qiao, Jingchuan Zhu, Junya Inoue
Journal of Materials Research and Technology (2024) Vol. 33, pp. 8222-8231
Open Access | Times Cited: 4
Wear and Erosion Performance of Flame Sprayed Rare Earth Element-doped AlCoCrFeMo High Entropy Alloy Coatings
Pankaj Kumar, Maria Ophelia Jarligo, Asad Asad, et al.
Wear (2025), pp. 205773-205773
Closed Access
Pankaj Kumar, Maria Ophelia Jarligo, Asad Asad, et al.
Wear (2025), pp. 205773-205773
Closed Access
Interpretable phase structure and hardness prediction of multi-principal element alloys through ensemble learning
Xiaohui Li, Zicong Li, Chunxi Hou, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access
Xiaohui Li, Zicong Li, Chunxi Hou, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access
Machine learning-driven design of BCC phase FeCrVTiMoxSiy high-entropy alloy coatings with high hardness to enhance wear resistance
Shouyuan Lin, Yuan Yao, Guanghui Shi, et al.
Surface and Coatings Technology (2025) Vol. 511, pp. 132238-132238
Closed Access
Shouyuan Lin, Yuan Yao, Guanghui Shi, et al.
Surface and Coatings Technology (2025) Vol. 511, pp. 132238-132238
Closed Access
Artificial neural network modeling for the oxidation kinetics of divalent manganese ions during chlorination and the role of arsenite ions in the binary/ternary systems
Ziqiao Liao, K.-S. Choi, Zahid Ullah, et al.
Water Research (2024) Vol. 259, pp. 121876-121876
Closed Access | Times Cited: 1
Ziqiao Liao, K.-S. Choi, Zahid Ullah, et al.
Water Research (2024) Vol. 259, pp. 121876-121876
Closed Access | Times Cited: 1
Analysis of Stability and Mechanical Properties of Al-Cr-Fe-Co-Ni-Cu HEA Based on Machine Learning
Jose J. Pais Pereda, Konstantin V. Larionov, Lin Jiang, et al.
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 43, pp. 18489-18497
Closed Access | Times Cited: 1
Jose J. Pais Pereda, Konstantin V. Larionov, Lin Jiang, et al.
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 43, pp. 18489-18497
Closed Access | Times Cited: 1
