Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 193

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Formation of sandwiched leaf-like CNTs-Co/ZnCo2O4@NC-CNTs nanohybrids for high-power-density rechargeable Zn-air batteries

Yan, Lei, Xu, Zhuying, Hu, Weikang, Ning, Jiqiang, Zhong, Yijun, Hu, Yong·2021·Nano Energy

Abstract

Abstract Air cathodes with high-efficiency oxygen reduction and evolution reaction (ORR/OER) performances are essential but still challenging for the development of high-power-density rechargeable Zn-air batteries. We herein report the preparation of a bifunctional oxygen electrocatalyst, composed of Co/ZnCo2O4 nanoparticles sandwiched in leaf-like nitrogen-doped carbon microplates interwoven with carbon nanotubes (denoted as Co/ZnCo2O4@NC-CNTs). Owing to large amount of metal-Nx and Co3+ active sites as well as the interwove CNTs on the surface of carbon microplates, the Co/ZnCo2O4@NC-CNTs catalyst reveals excellent ORR/OER activities manifested as a small potential gap (ΔE = 0.70 V), a superior high-power density of 305 mW cm−2 and a stable rechargeability of up to 103 h with the Zn-air battery. Meanwhile, the Co/ZnCo2O4@NC-CNTs-based flexible solid-state Zn-air battery also exhibits competitive peak power density (151 mW cm−2), robust flexibility and integrability.

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 · 10.1016/j.nanoen.2020.105710

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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

Cites

Show all 3 references

Cited by

See all 193

Metadata

Authors
Yan, L., Xu, Z., Hu, W., Ning, J., Zhong, Y., & Hu, Y.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2021-04
Volume
82
Pages
105710
ISSN
2211-2855 (ISSN-L)
OpenAlex
W3110892605
Cited by
193
References
3
FWCI
6.60
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: Formation of sandwiched leaf-like CNTs-Co/ZnCo2O4@NC-CNTs nanohybrids for high-power-density rechargeable Zn-air batteries. https://app.cochat.ai/papers/10.1016/j.nanoen.2020.105710
The paper
Yan, L., Xu, Z., Hu, W., Ning, J., Zhong, Y., & Hu, Y. (2021). Formation of sandwiched leaf-like CNTs-Co/ZnCo2O4@NC-CNTs nanohybrids for high-power-density rechargeable Zn-air batteries. Nano Energy. https://doi.org/10.1016/j.nanoen.2020.105710

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.