Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 959

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Formation mechanism and optimization of highly luminescent N-doped graphene quantum dots

Open access
Qu, Dan, Zheng, Min, Zhang, Ligong, Zhao, Haifeng, Xie, Zhigang, Jing, Xiabin, Haddad, Raid E., Fan, Hongyou, Sun, Zaicheng·2014·Scientific Reports

Abstract

Photoluminescent graphene quantum dots (GQDs) have received enormous attention because of their unique chemical, electronic and optical properties. Here a series of GQDs were synthesized under hydrothermal processes in order to investigate the formation process and optical properties of N-doped GQDs. Citric acid (CA) was used as a carbon precursor and self-assembled into sheet structure in a basic condition and formed N-free GQD graphite framework through intermolecular dehydrolysis reaction. N-doped GQDs were prepared using a series of N-containing bases such as urea. Detailed structural and property studies demonstrated the formation mechanism of N-doped GQDs for tunable optical emissions. Hydrothermal conditions promote formation of amide between -NH₂ and -COOH with the presence of amine in the reaction. The intramoleculur dehydrolysis between neighbour amide and COOH groups led to formation of pyrrolic N in the graphene framework. Further, the pyrrolic N transformed to graphite N under hydrothermal conditions. N-doping results in a great improvement of PL quantum yield (QY) of GQDs. By optimized reaction conditions, the highest PL QY (94%) of N-doped GQDs was obtained using CA as a carbon source and ethylene diamine as a N source. The obtained N-doped GQDs exhibit an excitation-independent blue emission with single exponential lifetime decay.

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 · 10.1038/srep05294

Cites

35 of 35 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 35 references

Cited by

See all 959

Metadata

Authors
Qu, D., Zheng, M., Zhang, L., Zhao, H., Xie, Z., Jing, X., Haddad, R. E., Fan, H., & Sun, Z.
Venue
Scientific Reports
Published
2014-06-18
Volume
4
Issue
1
Pages
5294-5294
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2013518031
Cited by
959
References
35
FWCI
34.70
Type
journal article
Language
en
Open access
gold

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: Formation mechanism and optimization of highly luminescent N-doped graphene quantum dots. https://app.cochat.ai/papers/10.1038/srep05294
The paper
Qu, D., Zheng, M., Zhang, L., Zhao, H., Xie, Z., Jing, X., Haddad, R. E., Fan, H., & Sun, Z. (2014). Formation mechanism and optimization of highly luminescent N-doped graphene quantum dots. Scientific Reports. https://doi.org/10.1038/srep05294

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.