Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,490

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

Focusing on luminescent graphene quantum dots: current status and future perspectives

Li, Lingling, Wu, Gehui, Yang, Guohai, Peng, Juan, Zhao, Jianwei, Zhu, Jun-Jie·2013·Nanoscale

Abstract

To obtain graphene-based fluorescent materials, one of the effective approaches is to convert one-dimensional (1D) graphene to 0D graphene quantum dots (GQDs), yielding an emerging nanolight with extraordinary properties due to their remarkable quantum confinement and edge effects. In this review, the state-of-the-art knowledge of GQDs is presented. The synthetic methods were summarized, with emphasis on the top-down routes which possess the advantages of abundant raw materials, large scale production and simple operation. Optical properties of GQDs are also systematically discussed ranging from the mechanism, the influencing factors to the optical tunability. The current applications are also reviewed, followed by an outlook on their future and potential development, involving the effective synthetic methods, systematic photoluminescent mechanism, bandgap engineering, in addition to the potential applications in bioimaging, sensors, etc.

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/c3nr33849e

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 1,490

Metadata

Authors
Li, L., Wu, G., Yang, G., Peng, J., Zhao, J., & Zhu, J.-J.
Venue
Nanoscale
Published
2013
Volume
5
Issue
10
Pages
4015
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W2153005473
Cited by
1,490
References
2
FWCI
63.35
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: Focusing on luminescent graphene quantum dots: current status and future perspectives. https://app.cochat.ai/papers/10.1039/c3nr33849e
The paper
Li, L., Wu, G., Yang, G., Peng, J., Zhao, J., & Zhu, J.-J. (2013). Focusing on luminescent graphene quantum dots: current status and future perspectives. Nanoscale. https://doi.org/10.1039/c3nr33849e

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.