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:

Tailoring the microstructure and mechanical properties of (CrMnFeCoNi)100-C high-entropy alloys: Machine learning, experimental validation, and mathematical modeling
Mohammad Reza Zamani, Milad Roostaei, Hamed Mirzadeh, et al.
Current Opinion in Solid State and Materials Science (2023) Vol. 27, Iss. 5, pp. 101105-101105
Closed Access | Times Cited: 11

Showing 11 citing articles:

Optimization strategies of high-entropy alloys for electrocatalytic applications
Liyuan Xiao, Zhenlü Wang, Jingqi Guan
Chemical Science (2023) Vol. 14, Iss. 45, pp. 12850-12868
Open Access | Times Cited: 74

Tailoring the strengthening mechanisms of high-entropy alloys toward excellent strength-ductility synergy by metalloid silicon alloying: A review
Mohammad Javad Sohrabi, Alireza Kalhor, Hamed Mirzadeh, et al.
Progress in Materials Science (2024) Vol. 144, pp. 101295-101295
Closed Access | Times Cited: 53

Deformation-induced martensitic transformations: A strategy for overcoming the strength-ductility trade-off in high-entropy alloys
Mohammad Sajad Mehranpour, Novin Rasooli, Hyoung Seop Kim, et al.
Current Opinion in Solid State and Materials Science (2024) Vol. 31, pp. 101177-101177
Closed Access | Times Cited: 16

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques
Sheetal Kumar Dewangan, Reliance Jain, Soumyabrata Bhattacharjee, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 2377-2387
Open Access | Times Cited: 11

Prediction of coating layer thickness and surface hardness in electric discharge coating process using RSM, ANN, and ANFIS with ANOVA optimization
V Kumaran, B. Muralidharan
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access | Times Cited: 1

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

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

From high-entropy alloys to alloys with high entropy: A new paradigm in materials science and engineering for advancing sustainable metallurgy
J. M. Torralba, Alberto Meza, S. Kumaran, et al.
Current Opinion in Solid State and Materials Science (2025) Vol. 36, pp. 101221-101221
Open Access

Optimizing microwave-assisted synthesis of akermanite nanoparticles using citric acid as a chelating agent: A combined machine learning and experimental approach
Nilufar Balighieh, Mohammad Reza Zamani, Seyed Farshid Kashani-Bozorg, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 2211-2222
Open Access | Times Cited: 2

Analysis of the possibility of using exploration and learning algorithms in the production of castings
Adam Bitka, Mateusz Witkowski, Krzysztof Jaśkowiec, et al.
Archives of Civil and Mechanical Engineering (2024) Vol. 25, Iss. 1
Open Access

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