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:

Quantitative characterization of reinforcement cross-sectional roughness and prediction of cover cracking based on machine learning under the influence of pitting corrosion
Ce Jiang, Xiaogang Zhang, Peiyuan Lun, et al.
Measurement (2023) Vol. 220, pp. 113322-113322
Closed Access | Times Cited: 7

Showing 7 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: 23

Current and emerging trends of inorganic, organic and eco-friendly corrosion inhibitors
Mahmoud A. Ahmed, Sherif Amin, Ashraf A. Mohamed
RSC Advances (2024) Vol. 14, Iss. 43, pp. 31877-31920
Open Access | Times Cited: 17

Fast screening of high anti-corrosion Ta ternary alloys by machine learning and electron-level descriptors
Yuanjiang Lv, Wenqian Sun, Qiaomei Luo, et al.
Materials Chemistry and Physics (2025), pp. 130820-130820
Closed Access

Deep learning-based extraction and quantification of features in XCT images of steel corrosion in concrete
Mingyang Zhang, Wei-Lun Wang
Case Studies in Construction Materials (2023) Vol. 20, pp. e02717-e02717
Open Access | Times Cited: 4

3D visual reconstruction of corrosion in underwater structure using alternating current field measurement technique
Xin’an Yuan, Jianxi Ding, Baoping Cai, et al.
Ocean Engineering (2024) Vol. 308, pp. 118294-118294
Closed Access | Times Cited: 1

Corrosion degree detection of ferromagnetic materials using a hybrid machine learning approach and self-magnetic flux leakage technology
Hong Zhang, Houxuan Li, Runchuan Xia, et al.
Measurement (2024) Vol. 240, pp. 115611-115611
Closed Access

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