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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.

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Showing 14 citing articles:

Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook
Xuhao Wan, Zeyuan Li, Wei Yu, et al.
Advanced Materials (2023)
Closed Access | Times Cited: 29
Molecular dynamics of solidification
Yasushi Shibuta
ISIJ International (2024) Vol. 64, Iss. 7, pp. 1107-1124
Open Access | Times Cited: 4
Effect of Cr element on tensile mechanical properties of Al0.3CoCrxFeNi high entropy alloys by MD simulations
Yingzhi Li, Dong Guo, Shichao Fan, et al.
Applied Physics A (2025) Vol. 131, Iss. 2
Closed Access
Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating
Han Yan, Tan Junling, Hui Chen, et al.
Polymers (2025) Vol. 17, Iss. 3, pp. 282-282
Open Access
Prediction of mechanical properties of high entropy alloys based on machine learning
Tinghong Gao, Qingqing Wu, Lei Chen, et al.
Physica Scripta (2025) Vol. 100, Iss. 4, pp. 046013-046013
Closed Access
A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons
Yichuan Tang, Shaopeng Liu, Silong Li, et al.
MetalMat (2025)
Open Access
Phase formation prediction in magnetron sputtered Cu(Ti)Zn thin films: Numerical vs experimental approaches
Dimitri Boivin, Andrea Jagodar, Pascal Brault, et al.
Journal of Applied Physics (2025) Vol. 137, Iss. 14
Open Access
Machine learning–assisted prediction of mechanical properties of high-entropy alloy/graphene nanocomposite
Qingqing Wu, Tinghong Gao, Guiyang Liu, et al.
Materials Today Communications (2024) Vol. 40, pp. 109663-109663
Closed 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
Mechanical properties, nano-tribological behavior and deformation mechanism of FeCrNi MEA with the addition of Co/Cu: Molecular dynamics simulation
Wei Cheng, Xiu-Bo Liu, Fei-Zhi Zhang, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1348-1359
Closed Access | Times Cited: 2
Effects of Mn addition on wear and corrosion resistances of AlCoCrFeNi high-entropy alloy coating sprayed by HVOF
Dandan Zhang, Qiang Li, Chuntao Chang, et al.
Journal of Materials Research and Technology (2024)
Open Access | Times Cited: 1
Design of novel high entropy alloys based on the end-of-life recycling rate and element lifetime for cryogenic applications
Mehran Bahramyan, R. Taherzadeh Mousavian, Gopinath Perumal, et al.
Materials & Design (2024), pp. 113316-113316
Open Access | Times Cited: 1
Combining machine learning and molecular dynamics to predict strength-toughness and energy dissipation mechanisms of hybrid double-crosslinked CNT networks
F. Y. Wu, Heng Zou, Qiaoxin Zhang, et al.
Computational Materials Science (2024) Vol. 246, pp. 113403-113403
Closed Access | Times Cited: 1
Atomic-Scale Investigation of the Strengthening Mechanism of Graphene in High-Entropy Alloys with Initial Dislocations
Xianhe Zhang, Hongyun Wang, Xuyao Zhang, et al.
(2024)
Closed Access
Machine Learning Design of Aluminum-Lithium Alloys with High Strength
Hongxia Wang, Zhiqiang Duan, Qingwei Guo, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 2, pp. 1393-1409
Open Access
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