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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:

Phase prediction and experimental realisation of a new high entropy alloy using machine learning
Swati Singh, Nirmal Kumar Katiyar, Saurav Goel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Frontiers in high entropy alloys and high entropy functional materials
Wentao Zhang, Xueqian Wang, Fengqi Zhang, et al.
Rare Metals (2024) Vol. 43, Iss. 10, pp. 4639-4776
Closed Access | Times Cited: 23
A comprehensive review of two-dimensional high-entropy layered hydroxides: Synthesis, characterization, and applications
Abdul Hai, Muhammad Daud, Ghulam Mujtaba, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216435-216435
Closed Access | Times Cited: 2
Multicomponent alloys design and mechanical response: From high entropy alloys to complex concentrated alloys
Manuel Cabrera, Yovany Oropesa, Juan Pablo Sanhueza, et al.
Materials Science and Engineering R Reports (2024) Vol. 161, pp. 100853-100853
Closed Access | Times Cited: 14
Synthesis Strategies for High Entropy Nanoparticles
Linlin Yang, Ren He, Jiali Chai, et al.
Advanced Materials (2024)
Closed Access | Times Cited: 9
Supervised machine learning-based multi-class phase prediction in high-entropy alloys using robust databases
Ángelo Oñate, Juan Pablo Sanhueza, Diabb Zegpi, et al.
Journal of Alloys and Compounds (2023) Vol. 962, pp. 171224-171224
Closed Access | Times Cited: 22
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
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
Predictive analytics of wear performance in high entropy alloy coatings through machine learning
S. Sivaraman, N. Radhika
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076014-076014
Closed Access | Times Cited: 7
Data‐Driven Materials Research and Development for Functional Coatings
Kai Xu, Xuelian Xiao, Linjing Wang, et al.
Advanced Science (2024)
Open Access | Times Cited: 7
A novel tetragonal T-C2N supported transition metal atoms as superior bifunctional catalysts for OER/ORR: From coordination environment to rational design
Zhe Xue, Rui Tan, Hongxia Wang, et al.
Journal of Colloid and Interface Science (2023) Vol. 651, pp. 149-158
Closed Access | Times Cited: 16
Data-driven analysis and prediction of stable phases for high-entropy alloy design
Iman Peivaste, Ericmoore Jossou, Ahmed A. Tiamiyu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
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
Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering
Guiyang Liu, Qingqing Wu, Yong Ma, et al.
Journal of Materials Science (2025)
Closed Access
Anisotropic plasticity mechanisms in a newly synthesised high entropy alloy investigated using atomic simulations and nanoindentation experiments
Pengfei Fan, Nirmal Kumar Katiyar, Muhammad Arshad, et al.
Journal of Alloys and Compounds (2023) Vol. 970, pp. 172541-172541
Open Access | Times Cited: 10
Critical review of high-entropy alloys for catalysts: Design, synthesis, and applications
Long Luo, Huimin Han, Liangpan Chen, et al.
International Journal of Hydrogen Energy (2024) Vol. 90, pp. 885-917
Closed Access | Times Cited: 3
Critical raw material-free multi-principal alloy design for a net-zero future
Swati Singh, Mingwen Bai, A. Matthews, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Developing new high-entropy alloys with enhanced hardness using a hybrid machine learning approach: integrating interpretability and NSGA-II optimization
Debsundar Dey, Anik Pal, P. Biyani, et al.
Journal of Materials Science (2025)
Closed Access
Physical Significance of Descriptors to Predict the Band Center of High‐Entropy Nanoalloys
Yūsuke Nanba, Michihisa Koyama
Journal of Computational Chemistry (2025) Vol. 46, Iss. 8
Closed 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
Phase Stability and Transitions in High-Entropy Alloys: Insights from Lattice Gas Models, Computational Simulations, and Experimental Validation
Łukasz Łach
Entropy (2025) Vol. 27, Iss. 5, pp. 464-464
Open Access
Machine learning – informed development of high entropy alloys with enhanced corrosion resistance
H.C. Ozdemir, A. Nazarahari, Bengisu Yılmaz, et al.
Electrochimica Acta (2023) Vol. 476, pp. 143722-143722
Closed Access | Times Cited: 9
Phase prediction of high-entropy alloys based on machine learning and an improved information fusion approach
Cun Chen, Xiaoli Han, Yong Zhang, et al.
Computational Materials Science (2024) Vol. 239, pp. 112976-112976
Open Access | Times Cited: 3
Sigma Phase Stabilization by Nb Doping in a New High-Entropy Alloy in the FeCrMnNiCu System: A Study of Phase Prediction and Nanomechanical Response
Ángelo Oñate, Juan Pablo Sanhueza, Gleydis Dueña, et al.
Metals (2024) Vol. 14, Iss. 1, pp. 74-74
Open Access | Times Cited: 2
A Review of the Preparation and Prospects of Amorphous Alloys by Mechanical Alloying
Xianjie Yuan, Y. D. Zhang, Xuanhui Qu, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 3117-3143
Open Access | Times Cited: 2
Prediction of Mechanical Properties of Rare-Earth Magnesium Alloys Based on Convolutional Neural Networks
Mei Cheng, Xiya Jia, Zhimin Zhang
Materials (2024) Vol. 17, Iss. 20, pp. 4956-4956
Open Access | Times Cited: 2
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