The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Superhydrophobic CuO nanoneedle-covered copper surfaces for anticorrosion
Abstract
Anodic CuO nanoneedle array films were synthesized and modified by fluorosilanization to create superhydrophobic surfaces for effective corrosion protection.
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Citations
Cites
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
Cited by
Robust superhydrophobicity: mechanisms and strategies
Zhang, W., Wang, D., Sun, Z., Song, J., & Deng, X. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00751j · Cited by 686
Application of superhydrophobic coatings as a corrosion barrier: A review
Vazirinasab, E., Jafari, R., & Momen, G. (2018) · Surface and Coatings Technology · doi:10.1016/j.surfcoat.2017.11.053 · Cited by 659
Icephobic materials: Fundamentals, performance evaluation, and applications
Shen, Y., Wu, X., Tao, J., Zhu, C., Lai, Y., & Chen, Z. (2019) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.03.004 · Cited by 441
Metadata
- Authors
- Xiao, F., Yuan, S., Liang, B., Li, G., Pehkonen, S. O., & Zhang, T.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 3
- Issue
- 8
- Pages
- 4374-4388
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W1967989241
- Cited by
- 237
- References
- 1
- FWCI
- 9.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Superhydrophobic CuO nanoneedle-covered copper surfaces for anticorrosion. https://app.cochat.ai/papers/10.1039/c4ta05730a
- The paper
- Xiao, F., Yuan, S., Liang, B., Li, G., Pehkonen, S. O., & Zhang, T. (2015). Superhydrophobic CuO nanoneedle-covered copper surfaces for anticorrosion. Journal of Materials Chemistry A. https://doi.org/10.1039/c4ta05730a
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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.