The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Top‐Down Strategy toward 3D Carbon Nanosheet Frameworks Decorated with Hollow Nanostructures for Superior Lithium Storage
Abstract
Graphene has shown great potential in vast fields due to the unique structure and properties, but its practical application is still hindered by high cost and scarcity in supply. The development of low‐cost substitute of graphene is thus highly desired to meet the practical demand of upcoming applications where extremely physical properties are not absolutely critical. In this work, a top‐down strategy for general synthesis of 3D carbon nanosheet frameworks decorated with metal nanoparticles by a metal nitrate‐assisted polymer‐blowing process is reported. Such architecture provides a promising structural platform for the fabrication of carbon nanosheet frameworks functionalized with metal oxide or carbon hollow nanostructures through subsequent chemical conversion. The unique structures impart intimate structural interconnectivities, highly opened freeway for ionic diffusion, large accessible surface area, as well as high structural stability, opening up a wide horizon for electrochemical applications, for example, high‐energy, long‐life lithium‐ion batteries and lithium–sulfur batteries highlighted in this work.
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
Wang, Z., Dong, Y., Li, H., Zhao, Z., Bin Wu, H., Hao, C., Liu, S., Qiu, J., & Lou, X. W. (2014) · Nature Communications · doi:10.1038/ncomms6002 · Cited by 1,059
Self-citation
Cited by
Wang, R., Wang, L., Liu, R., Li, X., Wu, Y., & Ran, F. (2024) · ACS Nano · doi:10.1021/acsnano.3c08712 · Cited by 336
Metadata
- Authors
- Dong, Y., Yu, M., Wang, Z., Liu, Y., Wang, X., Zhao, Z., & Qiu, J.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2016-09-20
- Volume
- 26
- Issue
- 42
- Pages
- 7590-7598
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2523247752
- Cited by
- 221
- References
- 1
- FWCI
- 16.77
- Type
- journal article
- Language
- en
- Open access
- closed
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: A Top‐Down Strategy toward 3D Carbon Nanosheet Frameworks Decorated with Hollow Nanostructures for Superior Lithium Storage. https://app.cochat.ai/papers/10.1002/adfm.201603659
- The paper
- Dong, Y., Yu, M., Wang, Z., Liu, Y., Wang, X., Zhao, Z., & Qiu, J. (2016). A Top‐Down Strategy toward 3D Carbon Nanosheet Frameworks Decorated with Hollow Nanostructures for Superior Lithium Storage. Advanced Functional Materials. https://doi.org/10.1002/adfm.201603659
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.