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Cited by 246

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Synthesis and Development of Graphene–Inorganic Semiconductor Nanocomposites

Gao, Nan, Fang, Xiaosheng·2015·Chemical Reviews

Abstract

Modern techniques in microscopic and electronic measurements allow us to carry out very sophisticated experiments on atomically thin graphene sheets and ultrasmall semiconductor structures. When restrained within nanoscale dimensions, graphene can demonstrate the unique electronic properties of caron nanotubes (CNTs). Given that graphene, as the conducting and buffering matrix, can greatly improve the capacity of Li ion batteries, it is, however, important to be aware of an alternative way to ensure the interaction. Since mechanically exfoliated graphene flakes lack precise and scalable control over the structures, which is most undesirable in electronic devices, epitaxial growth of graphene on substrates has attracted increasing attention. It is expected that graphene, with extremely high charge-carrier mobility, will improve device performance and increase the range of potential functions. However, as pointed out, complex integration of graphene into the inorganic semiconductor-based devices is still challenging.

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Metadata

Authors
Gao, N., & Fang, X.
Venue
Chemical Reviews
Published
2015-08-03
Volume
115
Issue
16
Pages
8294-8343
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2259995196
Cited by
246
References
11
FWCI
1.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesis and Development of Graphene–Inorganic Semiconductor Nanocomposites. https://app.cochat.ai/papers/10.1021/cr400607y
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Gao, N., & Fang, X. (2015). Synthesis and Development of Graphene–Inorganic Semiconductor Nanocomposites. Chemical Reviews. https://doi.org/10.1021/cr400607y

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.