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Cited by 355

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

Coaxial Electrospinning Formation of Complex Polymer Fibers and their Applications

Open access
Han, Daewoo, Steckl, Andrew J.·2019·ChemPlusChem

Abstract

The formation of fibers by electrospinning has experienced explosive growth in the past decade, recently reaching 4,000 publications and 1,500 patents per year. This impressive growth of interest is due to the ability to form fibers with a variety of materials, which lend themselves to a large and rapidly expanding set of applications. In particular, coaxial electrospinning, which forms fibers with multiple core−sheath layers from different materials in a single step, enables the combination of properties in a single fiber that are not found in nature in a single material. This article is a detailed review of coaxial electrospinning: basic mechanisms, early history and current status, and an in‐depth discussion of various applications (biomedical, environmental, sensors, energy, catalysis, textiles). We aim to provide readers who are currently involved in certain aspects of coaxial electrospinning research an appreciation of other applications and of current results.

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Metadata

Authors
Han, D., & Steckl, A. J.
Venue
ChemPlusChem
Publisher
Wiley
Published
2019-07-22
Volume
84
Issue
10
Pages
1453-1497
ISSN
2192-6506 (ISSN-L)
OpenAlex
W2953611854
Cited by
355
References
163
FWCI
7.52
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Coaxial Electrospinning Formation of Complex Polymer Fibers and their Applications. https://app.cochat.ai/papers/10.1002/cplu.201900281
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Han, D., & Steckl, A. J. (2019). Coaxial Electrospinning Formation of Complex Polymer Fibers and their Applications. ChemPlusChem. https://doi.org/10.1002/cplu.201900281

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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.