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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 impedance spectroscopy of high-entropy alloys corrosion by using gradient boosting decision tree
Boxin Wei, Jin Xu, Jingyu Pang, et al.
Materials Today Communications (2022) Vol. 32, pp. 104047-104047
Closed Access | Times Cited: 17

Showing 17 citing articles:

Computational experiments of metal corrosion studies: A review
Shuhao Li, Chunqing Li, Feng Wang
Materials Today Chemistry (2024) Vol. 37, pp. 101986-101986
Open Access | Times Cited: 29
High-Throughput Screening of 6858 Compounds for Zinc-Ion Battery Cathodes via Hybrid Machine Learning Optimization
Y.S. Wudil, M.A. Gondal, Mohammed A. Al‐Osta
ACS Applied Materials & Interfaces (2025)
Closed Access | Times Cited: 2
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
LBE corrosion fatigue life prediction of T91 steel and 316 SS using machine learning method assisted by symbol regression
Shaowu Feng, Xingyue Sun, Gang Chen, et al.
International Journal of Fatigue (2023) Vol. 177, pp. 107962-107962
Closed Access | Times Cited: 26
Corrosion and Wear Behavior of Additively Manufactured Metallic Parts in Biomedical Applications
Zhongbin Wei, Shokouh Attarilar, Mahmoud Ebrahimi, et al.
Metals (2024) Vol. 14, Iss. 1, pp. 96-96
Open Access | Times Cited: 10
A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
Mohamed El Amine Ben Seghier, Tam T. Truong, Christian Feiler, et al.
Results in Engineering (2025), pp. 104417-104417
Open Access | Times Cited: 1
Multiscale modelling of irradiation damage behavior in high entropy alloys
Fusheng Tan, Li Li, Jia Li, et al.
Advanced Powder Materials (2023) Vol. 2, Iss. 3, pp. 100114-100114
Open Access | Times Cited: 20
Analysis, Assessment, and Mitigation of Stress Corrosion Cracking in Austenitic Stainless Steels in the Oil and Gas Sector: A Review
Mohammadtaghi Vakili, Petr Koutnı́k, Jan Kohout, et al.
Surfaces (2024) Vol. 7, Iss. 3, pp. 589-642
Open Access | Times Cited: 8
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-assisted prediction and interpretation of electrochemical corrosion behavior in high-entropy alloys
Yun Zou, Jiahao Qian, Xu Wang, et al.
Computational Materials Science (2024) Vol. 244, pp. 113259-113259
Closed Access | Times Cited: 4
Investigation of thermal transformation hysteresis of NiTiHf shape memory alloys via machine learning
Yuxuan Chen, Ruoyuan Li, Xuan Sun, et al.
Solid State Communications (2025) Vol. 397, pp. 115830-115830
Closed Access
Insights into the high-temperature oxidation and electrochemical corrosion behavior of Si alloyed TiAl alloys and the prediction of corrosion behavior using machine learning approaches
Y. Garip, O. Ozdemir
Journal of Alloys and Compounds (2025), pp. 179023-179023
Closed Access
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
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
Electrode impedance modeling based on XGboost algorithm for analyzing the antioxidant properties of juice
Peijin Zhu, Runyue Li, An Lu
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 6, pp. 5031-5042
Closed Access | Times Cited: 1
Elaboration of entropy with glass composition: A molecular dynamics study
Z. Mollaei, Farzad Kermani, Fatemeh Moosavi, et al.
Materials Today Communications (2022) Vol. 33, pp. 104340-104340
Closed Access | Times Cited: 5
Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning
Kang Xu, Jin-hua An, Li Zhang, et al.
Materials Today Communications (2023) Vol. 36, pp. 106498-106498
Closed Access | Times Cited: 2
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