The DOI matches its Crossref record.
Alternating Stacked Graphene‐Conducting Polymer Compact Films with Ultrahigh Areal and Volumetric Capacitances for High‐Energy Micro‐Supercapacitors
Abstract
Graphene-based compact nanohybrid films made by alternate deposition of electrochemically exfoliated graphene and mesoporous graphene-conducting polymer nanosheets are constructed for high-energy micro-supercapacitors. They are shown to have a landmark areal capacitance of 368 mF cm(-2) and volumetric capacitance of 736 F cm(-3) .
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
Cited by
Wang, Q., Yan, J., & Fan, Z. (2016) · Energy & Environmental Science · doi:10.1039/c5ee03109e · Cited by 1,225
On-chip and freestanding elastic carbon films for micro-supercapacitors
Huang, P., Lethien, C., Pinaud, S., Brousse, K., Laloo, R., Turq, V., Respaud, M., Demortière, A., Daffos, B., Taberna, P. L., et al. (2016) · Science · doi:10.1126/science.aad3345 · Cited by 719
Cheng, C., Li, S., Thomas, A., Kotov, N. A., & Haag, R. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00520 · Cited by 527
Self-citationQi, D., Liu, Y., Liu, Z., Zhang, L., & Chen, X. (2017) · Advanced Materials · doi:10.1002/adma.201602802 · Cited by 470
Self-citationMaterials Design and System Construction for Conventional and New‐Concept Supercapacitors
Wu, Z., Li, L., Yan, J., & Zhang, X. (2017) · Advanced Science · doi:10.1002/advs.201600382 · Cited by 470
Self-citation
Metadata
- Authors
- Wu, Z., Parvez, K., Li, S., Yang, S., Liu, Z., Liu, S., Feng, X., & Müllen, K.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-06-03
- Volume
- 27
- Issue
- 27
- Pages
- 4054-4061
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2112652339
- Cited by
- 326
- References
- 0
- FWCI
- 14.32
- 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: Alternating Stacked Graphene‐Conducting Polymer Compact Films with Ultrahigh Areal and Volumetric Capacitances for High‐Energy Micro‐Supercapacitors. https://app.cochat.ai/papers/10.1002/adma.201501643
- The paper
- Wu, Z., Parvez, K., Li, S., Yang, S., Liu, Z., Liu, S., Feng, X., & Müllen, K. (2015). Alternating Stacked Graphene‐Conducting Polymer Compact Films with Ultrahigh Areal and Volumetric Capacitances for High‐Energy Micro‐Supercapacitors. Advanced Materials. https://doi.org/10.1002/adma.201501643
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.
