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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:

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

Showing 26-50 of 40 citing articles:

Accelerated intelligent prediction and analysis of mechanical properties of magnesium alloys based on scaled Super learner machine-learning algorithms
Atwakyire Moses, Ying Gui, B.H. Chen, et al.
Mechanics of Materials (2024), pp. 105168-105168
Closed Access | Times Cited: 2
Effective corrosion detection in reinforced concrete via laser-induced breakdown spectroscopy and machine learning
Y.S. Wudil, Adel Shalabi, Mohammed A. Al‐Osta, et al.
Materials Today Communications (2024) Vol. 41, pp. 111005-111005
Closed Access | Times Cited: 2
Investigation of electrochemical micromachining on magnesium alloy using hollow tool electrode
N. Sivashankar, R. Thanigaivelan, L. Selvarajan, et al.
Ultrasonics (2024) Vol. 147, pp. 107526-107526
Closed Access | Times Cited: 2
Microstructure-informed machine learning for understanding corrosion resistance in structural alloys through fusion with experimental studies
M. Rahman, Bo Zhao, Shuaihang Pan, et al.
Computational Materials Science (2024) Vol. 248, pp. 113624-113624
Closed Access | Times Cited: 2
Prediction of formation energy for oxides in ODS steels by machine learning
Tian-Xing Yang, Peng Dou
Materials & Design (2024), pp. 113503-113503
Open Access | Times Cited: 1
Prediction of Hardness or Yield Strength for Ods Steels Based on Machine Learning
Tian-Xing Yang, Akihiko Kimura, Peng Dou
(2024)
Closed Access | Times Cited: 1
Study on the Composition Design, Microstructure, Wear and Corrosion Resistant of Duplex Stainless Steels Based on Machine Learning
Jing Liang, Nanying Lv, Zhina Xie, et al.
Metals and Materials International (2024)
Closed Access | Times Cited: 1
Synergistic effects of BSA adsorption and shear stress on corrosion behaviors of WE43 alloy under simulated physiological flow field
Jianwei Dai, Juyi Yang, Xiangang Zhang, et al.
Corrosion Science (2024) Vol. 237, pp. 112317-112317
Closed Access | Times Cited: 1
Corrosion Behaviour Modelling Using Artificial Neural Networks: A Case Study in Biogas Environment
M.J. Jiménez–Come, Francisco Javier González Gallero, Pascual Álvarez Gómez, et al.
Metals (2023) Vol. 13, Iss. 11, pp. 1811-1811
Open Access | Times Cited: 2
Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels
Lukas C. Jarren, Eugen Gazenbiller, Visheet Arya, et al.
Materials and Corrosion (2024)
Open Access
Intelligent Prediction and Analysis of Mechanical Properties of Magnesium Alloys Using Interpretable Machine Learning
Atwakyire Moses, Ying Gui, Marembo Micheal, et al.
(2023)
Closed Access | Times Cited: 1
An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network
Ziheng Zhao, Nishat Akhtar, Elmi Bin Abu Bakar, et al.
(2024)
Closed Access
Prediction of Formation Energy for Oxides in Ods Steels by Machine Learning
Tian-Xing Yang, Peng Dou
(2024)
Closed Access
Modeling of zirconium alloy cladding corrosion behavior based on neural ordinary differential equation
Tao Zhang, Yongjun Jiao, Zhenhai Liu, et al.
Nuclear Engineering and Technology (2024) Vol. 57, Iss. 3, pp. 103251-103251
Open Access
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
Multi-objective optimization of fracturing ball strength and corrosion rate with genetic algorithms and interpretable machine learning
Xiaoda Liu, Jing Yang, Liu Chiao Yi, et al.
Advanced Composites and Hybrid Materials (2024) Vol. 8, Iss. 1
Closed Access
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