The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Efficient electromagnetic interference shielding of lightweight graphene/polystyrene composite
Abstract
A combination of high-pressure compression molding plus salt-leaching was first proposed to prepare porous graphene/polystyrene composites. The specific shielding effectiveness of the lightweight composite was as high as 64.4 dB cm3 g−1, the highest value ever reported for polymer based EMI shielding materials at such a low thickness (2.5 mm).
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Citations
Cites
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Cited by
Yang, W., Zhao, Z., Wu, K., Huang, R., Liu, T., Jiang, H., Chen, F., & Fu, Q. (2017) · Journal of Materials Chemistry C · doi:10.1039/c7tc00400a · Cited by 363
Self-citationWan, Y.-J., Zhu, P.-L., Yu, S.-H., Sun, R., Wong, C.-P., & Liao, W.-H. (2017) · Carbon · doi:10.1016/j.carbon.2017.01.054 · Cited by 267
Metadata
- Authors
- Yan, D.-X., Ren, P.-G., Pang, H., Fu, Q., Yang, M.-B., & Li, Z.-M.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 22
- Issue
- 36
- Pages
- 18772
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2025095895
- Cited by
- 589
- References
- 1
- FWCI
- 8.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Efficient electromagnetic interference shielding of lightweight graphene/polystyrene composite. https://app.cochat.ai/papers/10.1039/c2jm32692b
- The paper
- Yan, D.-X., Ren, P.-G., Pang, H., Fu, Q., Yang, M.-B., & Li, Z.-M. (2012). Efficient electromagnetic interference shielding of lightweight graphene/polystyrene composite. Journal of Materials Chemistry. https://doi.org/10.1039/c2jm32692b
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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.
