Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 674

The DOI matches its Crossref record.

An Aqueous Rechargeable Zinc‐Organic Battery with Hybrid Mechanism

Wan, Fang, Zhang, Linlin, Wang, Xinyu, Bi, Songshan, Niu, Zhiqiang, Chen, Jun·2018·Advanced Functional Materials

Abstract

Aqueous zinc‐ion batteries have been considered as potential energy storage devices owing to their high safety and low cost. Traditional zinc‐ion batteries often implement a typical Zn 2+ insertion/extraction mechanism. Compared with traditional Zn 2+ insertion/extraction mechanism, supercapacitor‐liked dual‐ion mechanism often endow the batteries with higher operating voltage, better rate capability, and longer cycle life. Herein, aqueous Zn/polyaniline batteries are developed, which can combine the Zn 2+ insertion/extraction and dual‐ion mechanisms. The Zn/polyaniline batteries deliver excellent electrochemical performance, especially a long cycle life up to 3000 cycles with high‐capacity retention of 92%. This hybrid mechanism provides a promising battery chemistry. Furthermore, Zn/polyaniline batteries can be assembled into quasi‐solid‐state soft‐packaged and cable‐type configurations and display stable electrochemical performance even under different bending states, showing potential applications for flexible electronics.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.201804975

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 674

Metadata

Authors
Wan, F., Zhang, L., Wang, X., Bi, S., Niu, Z., & Chen, J.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2018-09-19
Volume
28
Issue
45
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2891928423
Cited by
674
References
0
FWCI
23.99
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: An Aqueous Rechargeable Zinc‐Organic Battery with Hybrid Mechanism. https://app.cochat.ai/papers/10.1002/adfm.201804975
The paper
Wan, F., Zhang, L., Wang, X., Bi, S., Niu, Z., & Chen, J. (2018). An Aqueous Rechargeable Zinc‐Organic Battery with Hybrid Mechanism. Advanced Functional Materials. https://doi.org/10.1002/adfm.201804975

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.