Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 836

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Porous materials for sound absorption

Cao, Leitao, Fu, Qiuxia, Si, Yang, Ding, Bin, Yu, Jianyong·2018·Composites Communications

Abstract

Abstract With the rapid urbanization and fast growth of transportation, noise pollution has become one of the most serious environmental problems in front of the people worldwide, it usually causes various disorders and greatly affects the work efficiency and living standards of human beings. Reducing noise by using sound absorption materials is an important approach to lessen the harm of noise pollution. As the most abundantly used materials, porous materials combine the properties of lightweight, wide absorption frequency range and highly sound absorption ability, and they hold great potential in the field of sound absorption. In this review, the recent progress in the design and fabrication of porous sound absorption materials is summarized and highlighted. This review covers the introduction of the sound absorption mechanism and evolution of prediction models for porous sound absorption materials, and the research and development of the design concepts and fabrication of sound absorption foams and fibrous sound absorption materials. The review concludes with some perspectives and outlook for the porous sound absorption materials.

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 · 10.1016/j.coco.2018.05.001

Cites

24 of 24 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 24 references

Cited by

See all 836

Metadata

Authors
Cao, L., Fu, Q., Si, Y., Ding, B., & Yu, J.
Venue
Composites Communications
Publisher
Elsevier BV
Published
2018-12
Volume
10
Pages
25-35
ISSN
2452-2139 (ISSN-L)
OpenAlex
W2805419917
Cited by
836
References
24
FWCI
16.89
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 materials for sound absorption. https://app.cochat.ai/papers/10.1016/j.coco.2018.05.001
The paper
Cao, L., Fu, Q., Si, Y., Ding, B., & Yu, J. (2018). Porous materials for sound absorption. Composites Communications. https://doi.org/10.1016/j.coco.2018.05.001

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.