Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 979

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

2D MXenes: Electromagnetic property for microwave absorption and electromagnetic interference shielding

Cao, Mao-Sheng, Cai, Yong-Zhu, He, Peng, Shu, Jin-Cheng, Cao, Wen-Qiang, Yuan, Jie·2019·Chemical Engineering Journal

Abstract

Abstract MXene, a shining star of two-dimensional (2D) materials, perfectly showcases layered structure, outstanding electrical conductivity, tunable active surface, and excellent mechanical strength, all of which make it extremely attractive in various applications, in particular for the ever growing market of microwave absorption (MA) and electromagnetic interference (EMI) shielding technology. Herein, we introduce the synthetic strategies, structure and properties of MXene-based materials. The current research progresses on the dielectric properties of MXene are comprehensively summarized and analyzed. We objectively overview and evaluate the state-of-the-art in electromagnetic wave absorbing and shielding of MXene-based matrials and dissect the major problems and bottlenecks. In addition, prospective research opportunities are highlighted toward the development of advanced MXene-based materials for MA and EMI shielding.

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.cej.2018.11.051

Cites

2 of 2 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 2 references

Cited by

See all 979

Metadata

Authors
Cao, M.-S., Cai, Y.-Z., He, P., Shu, J.-C., Cao, W.-Q., & Yuan, J.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2019-03
Volume
359
Pages
1265-1302
ISSN
1385-8947 (ISSN-L)
OpenAlex
W2900167079
Cited by
979
References
2
FWCI
25.33
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: 2D MXenes: Electromagnetic property for microwave absorption and electromagnetic interference shielding. https://app.cochat.ai/papers/10.1016/j.cej.2018.11.051
The paper
Cao, M.-S., Cai, Y.-Z., He, P., Shu, J.-C., Cao, W.-Q., & Yuan, J. (2019). 2D MXenes: Electromagnetic property for microwave absorption and electromagnetic interference shielding. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2018.11.051

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.