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Thermochemical conversion of lignin to functional materials: a review and future directions

Liu, Wu-Jun, Jiang, Hong, Yu, Han-Qing·2015·Green Chemistry
DOI 10.1039/c5gc01054c
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Abstract

The naturally abundant lignin offers a sustainable platform for the synthesis of functional carbon materials which have been widely used in catalysis, energy storage, and pollutant removal.

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Cited by

See all 571

Metadata

Authors
Liu, W.-J., Jiang, H., & Yu, H.-Q.
Venue
Green Chemistry
Publisher
Royal Society of Chemistry (RSC)
Published
2015
Volume
17
Issue
11
Pages
4888-4907
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
DOI
10.1039/c5gc01054c
OpenAlex
W2169937212
Cited by
571
References
13
FWCI
21.23
Type
journal article
Language
en
Open access
closed

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Thermochemical conversion of lignin to functional materials: a review and future directions. https://app.cochat.ai/papers/10.1039/c5gc01054c
The paper
Liu, W.-J., Jiang, H., & Yu, H.-Q. (2015). Thermochemical conversion of lignin to functional materials: a review and future directions. Green Chemistry. https://doi.org/10.1039/c5gc01054c

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.