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Cited by 874

The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.

One‐Dimensional Composite Nanomaterials: Synthesis by Electrospinning and Their Applications

Lu, Xiaofeng, Wang, Ce, Wei, Yen·2009·Small

Abstract

This Review provides an overview of the synthesis of one‐dimensional (1D) composite nanomaterials by electrospinning and their applications. After a brief description of the development of the electrospinning technique, the transformation of an inorganic nanocomponent or polymer into another kind of polymer or inorganic matrix is discussed in terms of the electrospinning process, including the direct‐dispersed method, gas–solid reaction, in situ photoreduction, sol–gel method, emulsion electrospinning method, solvent evaporation, and coaxial electrospinning. In addition, various applications of such 1D composite nanomaterials are highlighted in terms of electronic and optical nanodevices, chemical and biological sensors, catalysis and electrocatalysis, superhydrophobic surfaces, environment, energy, and biomedical fields. An increasing number of investigations show that electrospinning has been not only a focus of academic study in the laboratory but is also being applied in a great many technological fields. magnified image

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Crossref · 10.1002/smll.200900445

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Metadata

Authors
Lu, X., Wang, C., & Wei, Y.
Venue
Small
Publisher
Wiley
Published
2009-10-28
Volume
5
Issue
21
Pages
2349-2370
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W1983743657
Cited by
874
References
186
FWCI
21.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: One‐Dimensional Composite Nanomaterials: Synthesis by Electrospinning and Their Applications. https://app.cochat.ai/papers/10.1002/smll.200900445
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Lu, X., Wang, C., & Wei, Y. (2009). One‐Dimensional Composite Nanomaterials: Synthesis by Electrospinning and Their Applications. Small. https://doi.org/10.1002/smll.200900445

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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.