The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Thermal Conductivity of Graphene-Polymer Composites: Mechanisms, Properties, and Applications
Open accessAbstract
With the integration and miniaturization of electronic devices, thermal management has become a crucial issue that strongly affects their performance, reliability, and lifetime. One of the current interests in polymer-based composites is thermal conductive composites that dissipate the thermal energy produced by electronic, optoelectronic, and photonic devices and systems. Ultrahigh thermal conductivity makes graphene the most promising filler for thermal conductive composites. This article reviews the mechanisms of thermal conduction, the recent advances, and the influencing factors on graphene-polymer composites (GPC). In the end, we also discuss the applications of GPC in thermal engineering. This article summarizes the research on graphene-polymer thermal conductive composites in recent years and provides guidance on the preparation of composites with high thermal conductivity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Polymer Nanocomposites Containing Carbon Nanotubes
Moniruzzaman, M., & Winey, K. I. (2006) · Macromolecules · doi:10.1021/ma060733p · Cited by 3,416
Thermal conductivity of carbon nanotubes and their polymer nanocomposites: A review
Han, Z., & Fina, A. (2011) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2010.11.004 · Cited by 2,603
Emerging challenges and materials for thermal management of electronics
Moore, A. L., & Shi, L. (2014) · Materials Today · doi:10.1016/j.mattod.2014.04.003 · Cited by 2,106
Ghosh, S., Calizo, I., Teweldebrhan, D., Pokatilov, E. P., Nika, D. L., Balandin, A. A., Bao, W., Miao, F., & Lau, C. N. (2008) · Applied Physics Letters · doi:10.1063/1.2907977 · Cited by 2,099
Thermal conductivity of polymer-based composites: Fundamentals and applications
Chen, H., Ginzburg, V. V., Yang, J., Yang, Y., Liu, W., Huang, Y., Du, L., & Chen, B. (2016) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2016.03.001 · Cited by 2,049
Graphene–Multilayer Graphene Nanocomposites as Highly Efficient Thermal Interface Materials
Shahil, K. M. F., & Balandin, A. A. (2012) · Nano Letters · doi:10.1021/nl203906r · Cited by 1,467
Review of thermal conductivity in composites: Mechanisms, parameters and theory
Burger, N., Laachachi, A., Ferriol, M., Lutz, M., Toniazzo, V., & Ruch, D. (2016) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2016.05.001 · Cited by 1,357
Cited by
Zhang, F., Feng, Y., & Feng, W. (2020) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2020.100580 · Cited by 566
Saikia, B. K., Benoy, S. M., Bora, M., Tamuly, J., Pandey, M., & Bhattacharya, D. (2020) · Fuel · doi:10.1016/j.fuel.2020.118796 · Cited by 447
Kargar, F., Barani, Z., Salgado, R., Debnath, B., Lewis, J. S., Aytan, E., Lake, R. K., & Balandin, A. A. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b16616 · Cited by 351
Yang, J., Tang, L.-S., Bai, L., Bao, R.-Y., Liu, Z.-Y., Xie, B.-H., Yang, M.-B., & Yang, W. (2019) · Materials Horizons · doi:10.1039/c8mh01219a · Cited by 269
Metadata
- Authors
- Li, A., Zhang, C., & Zhang, Y.-F.
- Venue
- Polymers
- Publisher
- MDPI AG
- Published
- 2017-09-15
- Volume
- 9
- Issue
- 9
- Pages
- 437
- ISSN
- 2073-4360 (ISSN-L)
- OpenAlex
- W2756162325
- Cited by
- 419
- References
- 88
- FWCI
- 14.00
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Thermal Conductivity of Graphene-Polymer Composites: Mechanisms, Properties, and Applications. https://app.cochat.ai/papers/10.3390/polym9090437
- The paper
- Li, A., Zhang, C., & Zhang, Y.-F. (2017). Thermal Conductivity of Graphene-Polymer Composites: Mechanisms, Properties, and Applications. Polymers. https://doi.org/10.3390/polym9090437
Data sources
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.
