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Cited by 578

The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.

Developments of Advanced Electrospinning Techniques: A Critical Review

Li, Ya, Zhu, Jiadeng, Cheng, Hui, Li, Guoqing, Cho, Hyunjin, Jiang, Mengjin, Gao, Qiang, Zhang, Xiangwu·2021·Advanced Materials Technologies

Abstract

Electrospinning, considered as a low‐cost and straightforward approach, attracts tremendous attention because nanofibrous materials with functional properties prepared by it can be widely applied in numerous fields, including rechargeable batteries, filtration, and distillation. This paper aims to provide a comprehensive review of the latest advances in developing this unique technique, which starts with a brief introduction of the advantages of electrospinning and highlights ongoing research activities, followed by its principles and progress. Afterward, the corresponding properties of electrospun nanofibers are discussed. A future vision regarding challenges and perspectives in this area is proposed at the end. It is believed that this review would provide an extensive and comprehensive reference to utilize this advanced technique to generate novel nanofibers performing in high demanding areas.

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Crossref · 10.1002/admt.202100410

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Metadata

Authors
Li, Y., Zhu, J., Cheng, H., Li, G., Cho, H., Jiang, M., Gao, Q., & Zhang, X.
Venue
Advanced Materials Technologies
Publisher
Wiley
Published
2021-07-14
Volume
6
Issue
11
ISSN
2365-709X (ISSN-L)
OpenAlex
W3178152600
Cited by
578
References
197
FWCI
18.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developments of Advanced Electrospinning Techniques: A Critical Review. https://app.cochat.ai/papers/10.1002/admt.202100410
The paper
Li, Y., Zhu, J., Cheng, H., Li, G., Cho, H., Jiang, M., Gao, Q., & Zhang, X. (2021). Developments of Advanced Electrospinning Techniques: A Critical Review. Advanced Materials Technologies. https://doi.org/10.1002/admt.202100410

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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.