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Cited by 507

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Facile self-templating large scale preparation of biomass-derived 3D hierarchical porous carbon for advanced supercapacitors

Song, Shijiao, Ma, Fangwei, Wu, Guang, Ma, Di, Geng, Weidan, Wan, Jiafeng·2015·Journal of Materials Chemistry A

Abstract

Corn husk, a renewable biomass, has been successfully explored as a low-cost crude carbon source to prepare advanced higher-value 3D HPCs by means of KOH pre-treatment and direct pyrolysis, the synthesis route is simple, self-templating and easy to scale-up for industrialization.

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Crossref · 10.1039/c5ta04721h

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Metadata

Authors
Song, S., Ma, F., Wu, G., Ma, D., Geng, W., & Wan, J.
Venue
Journal of Materials Chemistry A
Published
2015
Volume
3
Issue
35
Pages
18154-18162
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2116373644
Cited by
507
References
2
FWCI
13.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Facile self-templating large scale preparation of biomass-derived 3D hierarchical porous carbon for advanced supercapacitors. https://app.cochat.ai/papers/10.1039/c5ta04721h
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Song, S., Ma, F., Wu, G., Ma, D., Geng, W., & Wan, J. (2015). Facile self-templating large scale preparation of biomass-derived 3D hierarchical porous carbon for advanced supercapacitors. Journal of Materials Chemistry A. https://doi.org/10.1039/c5ta04721h

Data sources

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.