Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 363

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Porous organic polymers as a platform for sensing applications

Wang, Shitao, Li, Hongtao, Huang, Huanan, Cao, Xiaohua, Chen, Xiudong, Cao, Dapeng·2022·Chemical Society Reviews

Abstract

Sensing analysis is significantly important for human health and environmental safety. In this review, POPs used as platforms for various sensing applications have been summarized and discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1039/d2cs00059h

Cites

103 of 103 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 103 references

Cited by

See all 363

Metadata

Authors
Wang, S., Li, H., Huang, H., Cao, X., Chen, X., & Cao, D.
Venue
Chemical Society Reviews
Published
2022
Volume
51
Issue
6
Pages
2031-2080
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W4214733980
Cited by
363
References
103
FWCI
3.38
Type
journal article
Language
en
Open access
closed

About these checks

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

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

This page
CoChat. (2026). Citation check: Porous organic polymers as a platform for sensing applications. https://app.cochat.ai/papers/10.1039/d2cs00059h
The paper
Wang, S., Li, H., Huang, H., Cao, X., Chen, X., & Cao, D. (2022). Porous organic polymers as a platform for sensing applications. Chemical Society Reviews. https://doi.org/10.1039/d2cs00059h

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.