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Cited by 193

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Self-aggregating cationic-chains enable alkaline stable ion-conducting channels for anion-exchange membrane fuel cells

Zhang, Jianjun, Zhang, Kaiyu, Liang, Xian, Yu, Weisheng, Ge, Xiaolin, Shehzad, Muhammad A., Ge, Zijuan, Yang, Zhengjin, Wu, Liang, Xu, Tongwen·2021·Journal of Materials Chemistry A

Abstract

Self-aggregated cationic side chains construct efficient ion-conducting channels for fast ion transfer.

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Crossref · 10.1039/d0ta11011f

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Metadata

Authors
Zhang, J., Zhang, K., Liang, X., Yu, W., Ge, X., Shehzad, M. A., Ge, Z., Yang, Z., Wu, L., & Xu, T.
Venue
Journal of Materials Chemistry A
Published
2021
Volume
9
Issue
1
Pages
327-337
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W3107604505
Cited by
193
References
1
FWCI
8.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-aggregating cationic-chains enable alkaline stable ion-conducting channels for anion-exchange membrane fuel cells. https://app.cochat.ai/papers/10.1039/d0ta11011f
The paper
Zhang, J., Zhang, K., Liang, X., Yu, W., Ge, X., Shehzad, M. A., Ge, Z., Yang, Z., Wu, L., & Xu, T. (2021). Self-aggregating cationic-chains enable alkaline stable ion-conducting channels for anion-exchange membrane fuel cells. Journal of Materials Chemistry A. https://doi.org/10.1039/d0ta11011f

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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.