Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 300

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

Magnetite/graphene composites: microwave irradiation synthesis and enhanced cycling and rate performances for lithium ion batteries

Zhang, Ming, Lei, Danni, Yin, Xiaoming, Chen, Libao, Li, Qiuhong, Wang, Yanguo, Wang, Taihong·2010·Journal of Materials Chemistry

Abstract

By employing microwave irradiation as a heat source, magnetite/graphene composites were synthesized by depositing Fe3+ in the interspaces of graphene sheets. The Fe3O4 nanoparticles were dispersed on graphene sheets. As anode materials for lithium ion batteries, they showed high reversible capacities, as well as significantly enhanced cycling performances (about 650 mA h g−1 after 50 cycles) and high rate capabilities (350 mA h g−1 at 5 C). The enhancement could be attributed to graphene sheets, which served as electron conductors and buffers. Our results opened a new doorway for the application of graphene sheets to prepare anode materials of lithium ion batteries with superior performances.

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/c0jm00638f

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 300

Metadata

Authors
Zhang, M., Lei, D., Yin, X., Chen, L., Li, Q., Wang, Y., & Wang, T.
Venue
Journal of Materials Chemistry
Published
2010
Volume
20
Issue
26
Pages
5538
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2077414565
Cited by
300
References
2
FWCI
34.89
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: Magnetite/graphene composites: microwave irradiation synthesis and enhanced cycling and rate performances for lithium ion batteries. https://app.cochat.ai/papers/10.1039/c0jm00638f
The paper
Zhang, M., Lei, D., Yin, X., Chen, L., Li, Q., Wang, Y., & Wang, T. (2010). Magnetite/graphene composites: microwave irradiation synthesis and enhanced cycling and rate performances for lithium ion batteries. Journal of Materials Chemistry. https://doi.org/10.1039/c0jm00638f

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.