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The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Corrosion behavior of superhydrophobic surfaces: A review

Open access
Mohamed, Adel M.A., Abdullah, Aboubakr M., Younan, Nathalie A.·2015·Arabian Journal of Chemistry

Abstract

Superhydrophobic surfaces have evoked great interest in researchers for both purely academic pursuits and industrial applications. Metal corrosion is a serious problem, both economically and operationally, for engineering systems such as aircraft, automobiles, pipelines, and naval vessels. Due to the broad range of potential applications of superhydrophobic surfaces, there is a need for a deeper understanding of not only how to fabricate such surfaces using simple methods, but also how specific surface properties, such as morphology, roughness, and surface chemistry, affect surface wetting and stability. In this article, a comprehensive review is presented on the researches and developments related to superhydrophobicity phenomena, fabrication of superhydrophobic surface and applications. A significant attention is paid to state of the art on corrosion performance of superhydrophobic coatings.

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Crossref · 10.1016/j.arabjc.2014.03.006

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Metadata

Authors
Mohamed, A. M. A., Abdullah, A. M., & Younan, N. A.
Venue
Arabian Journal of Chemistry
Published
2015-11
Volume
8
Issue
6
Pages
749-765
ISSN
1878-5352 (ISSN-L)
OpenAlex
W2090489028
Cited by
572
References
62
FWCI
9.84
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Corrosion behavior of superhydrophobic surfaces: A review. https://app.cochat.ai/papers/10.1016/j.arabjc.2014.03.006
The paper
Mohamed, A. M. A., Abdullah, A. M., & Younan, N. A. (2015). Corrosion behavior of superhydrophobic surfaces: A review. Arabian Journal of Chemistry. https://doi.org/10.1016/j.arabjc.2014.03.006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.