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Cited by 226

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

A novel strategy for making soluble reduced graphene oxide sheets cheaply by adopting an endogenous reducing agent

Ai, Kelong, Liu, Yanlan, Lu, Lehui, Cheng, Xiaoli, Huo, Lihua·2011·J. Mater. Chem.

Abstract

A facile and efficient strategy is described for the fabrication of soluble reduced graphene oxide (rGO) sheets. Different from the conventional strategies, the proposed method is based on the reduction of graphene oxide by an endogenous reducing agent from a most widely used and cost-effective solvent, without adding any other toxic reducing agent. Simultaneously, this solvent can serve as an effective stabilizer, avoiding complicated and time-consuming modification procedures. The as-prepared rGO sheets not only exhibit high reduction level and conductivity, but also can be well dispersed in many solvents. Of particular significance is that rGO sheets can be produced in large quantities. These advantages endow this proposed synthetic approach great potential applications in the construction of high-performance graphene-based devices at low cost, as demonstrated in our study of NO gas sensing.

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Metadata

Authors
Ai, K., Liu, Y., Lu, L., Cheng, X., & Huo, L.
Venue
J. Mater. Chem.
Published
2011
Volume
21
Issue
10
Pages
3365-3370
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2162373854
Cited by
226
References
2
FWCI
8.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A novel strategy for making soluble reduced graphene oxide sheets cheaply by adopting an endogenous reducing agent. https://app.cochat.ai/papers/10.1039/c0jm02865g
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Ai, K., Liu, Y., Lu, L., Cheng, X., & Huo, L. (2011). A novel strategy for making soluble reduced graphene oxide sheets cheaply by adopting an endogenous reducing agent. J. Mater. Chem. https://doi.org/10.1039/c0jm02865g

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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.