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 corrosion prediction of as cast Mg-Sn alloys for biomedical applications
Naga Deepak Pagadala, Jyotika jaiswal, R. Radha
Materials Today Communications (2023) Vol. 35, pp. 106108-106108
Closed Access | Times Cited: 8
Naga Deepak Pagadala, Jyotika jaiswal, R. Radha
Materials Today Communications (2023) Vol. 35, pp. 106108-106108
Closed Access | Times Cited: 8
Showing 8 citing articles:
Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods
Atwakyire Moses, Ding Chen, Peng Wan, et al.
Materials Today Communications (2023) Vol. 37, pp. 107285-107285
Closed Access | Times Cited: 40
Atwakyire Moses, Ding Chen, Peng Wan, et al.
Materials Today Communications (2023) Vol. 37, pp. 107285-107285
Closed Access | Times Cited: 40
Designing high elastic modulus magnesium-based composite materials via machine learning approach
Zhu Zhi-hong, Wenhang Ning, Xuanyang Niu, et al.
Materials Today Communications (2023) Vol. 37, pp. 107249-107249
Open Access | Times Cited: 11
Zhu Zhi-hong, Wenhang Ning, Xuanyang Niu, et al.
Materials Today Communications (2023) Vol. 37, pp. 107249-107249
Open Access | Times Cited: 11
Advancements in prediction models for corrosion in oil and gas pipelines
Zhiwei Chen, Yuanqing Jin, Xiaochuan Wang, et al.
Corrosion Reviews (2025)
Closed Access
Zhiwei Chen, Yuanqing Jin, Xiaochuan Wang, et al.
Corrosion Reviews (2025)
Closed Access
Corrosion modeling of Magnesium and its alloys: A short review
A. Ortiz-Ozuna, Marvin Montoya-Rangel, Homero Castaneda, et al.
Materials Today Communications (2025), pp. 112491-112491
Open Access
A. Ortiz-Ozuna, Marvin Montoya-Rangel, Homero Castaneda, et al.
Materials Today Communications (2025), pp. 112491-112491
Open Access
Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review
Yanbing Guo, Mingze Sun, Wang Zhang, et al.
Metals (2023) Vol. 13, Iss. 10, pp. 1790-1790
Open Access | Times Cited: 7
Yanbing Guo, Mingze Sun, Wang Zhang, et al.
Metals (2023) Vol. 13, Iss. 10, pp. 1790-1790
Open Access | Times Cited: 7
Anticorrosion mechanism of natural acidic amino acids on steel in chloride solution: Experimental, theoretical and machine learning approaches
Bin Yang, Yizhen Lv, Zhaocai Zhang, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107801-107801
Closed Access | Times Cited: 5
Bin Yang, Yizhen Lv, Zhaocai Zhang, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107801-107801
Closed Access | Times Cited: 5
Microstructural, mechanical, tribological, and corrosion behavior of ultrafine bio-degradable Mg/CeO2 nanocomposites: Machine learning-based modeling and experiment
Surja Deka, Farzin Mozafari, Ashis Mallick
Tribology International (2023) Vol. 190, pp. 109063-109063
Closed Access | Times Cited: 3
Surja Deka, Farzin Mozafari, Ashis Mallick
Tribology International (2023) Vol. 190, pp. 109063-109063
Closed Access | Times Cited: 3
Predicting corrosion current density in magnesium alloy battery anodes: machine learning approach using rapid miner
R. Radha
Canadian Metallurgical Quarterly (2024), pp. 1-12
Closed Access
R. Radha
Canadian Metallurgical Quarterly (2024), pp. 1-12
Closed Access
