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Cited by 309

The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.

Recent progress in controlled carbonization of (waste) polymers

Gong, Jiang, Chen, Xuecheng, Tang, Tao·2019·Progress in Polymer Science

Abstract

Abstract The controlled carbonization of polymers is one of the most important polymer reactions. It represents the conversion process of polymeric precursors into carbonaceous materials in a “controlled” manner. In this review, we summarize the research progress on the controlled carbonization of (waste) polymers in preparing functional carbon materials with well-defined microstructures, fabricating advanced polymer composites with enhanced flame retardancy, and converting waste polymers into high value-added nanocarbon materials. The carbonization mechanisms of polymers with different compositions and chain structures are highlighted. How to match the degradation reaction of polymers with the carbonization reaction of the degradation products is addressed to improve the carbonization efficiency and optimize the growth of carbon materials. The applications of (waste) polymer-derived carbon materials in electrochemical energy storage and environmental remediation are reviewed. Current existing limitations and future perspectives are also given.

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Metadata

Authors
Gong, J., Chen, X., & Tang, T.
Venue
Progress in Polymer Science
Publisher
Elsevier BV
Published
2019-07
Volume
94
Pages
1-32
ISSN
0079-6700 (ISSN-L)
OpenAlex
W2936274746
Cited by
309
References
201
FWCI
11.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent progress in controlled carbonization of (waste) polymers. https://app.cochat.ai/papers/10.1016/j.progpolymsci.2019.04.001
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Gong, J., Chen, X., & Tang, T. (2019). Recent progress in controlled carbonization of (waste) polymers. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2019.04.001

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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.