Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 169

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

ZnO Nanorod−Graphene Hybrid Architectures for Multifunctional Conductors

Lee, Jung Min, Pyun, Yong Bum, Yi, Jaeseok, Choung, Jae Woong, Park, Won Il·2009·The Journal of Physical Chemistry C

Abstract

We report ZnO nanorod−graphene hybrid architectures (ZnO−G HAs) composed of regular arrays of ZnO nanorods formed on few-layer graphene films transferred to transparent and/or flexible substrates. The ZnO−G HAs exhibited a high current flow reaching ∼1.1 mA at an applied bias of 1 V and good optical transmittance in the range of 70−80%, comparable to those of a graphene layer. In addition, cathodoluminescence images and photoluminescence spectra of the ZnO−G HAs showed distinct light emission involving optical transitions in the ZnO nanorod array. Moreover, a bending test demonstrated that the ZnO−G HAs exhibit excellent mechanical flexibility and structural stability for the bending radius down to ∼4 mm. Our results suggest that the 1D−2D HAs provide unique and multiple functions as can be applicable for next-generation electronic and optoelectronic systems.

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 · 10.1021/jp9078713

Cites

1 of 1 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 1 references

Cited by

See all 169

Metadata

Authors
Lee, J. M., Pyun, Y. B., Yi, J., Choung, J. W., & Park, W. I.
Venue
The Journal of Physical Chemistry C
Published
2009-10-14
Volume
113
Issue
44
Pages
19134-19138
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W2028444112
Cited by
169
References
1
FWCI
9.89
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: ZnO Nanorod−Graphene Hybrid Architectures for Multifunctional Conductors. https://app.cochat.ai/papers/10.1021/jp9078713
The paper
Lee, J. M., Pyun, Y. B., Yi, J., Choung, J. W., & Park, W. I. (2009). ZnO Nanorod−Graphene Hybrid Architectures for Multifunctional Conductors. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp9078713

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.