Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 304

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Atomically dispersed hierarchically ordered porous Fe–N–C electrocatalyst for high performance electrocatalytic oxygen reduction in Zn-Air battery

Zhang, Xibo, Han, Xiao, Jiang, Zhe, Xu, Jie, Chen, Luning, Xue, Yakun, Nie, Anmin, Xie, Zhaoxiong, Kuang, Qin, Zheng, Lansun·2020·Nano Energy

Abstract

Abstract Rational design and synthesis of non-precious metal electrocatalysts for highly efficient oxygen reduction reaction (ORR) is urgently required. Recently, single atom catalysts (SACs) have sparked intense interests due to their maximum atom utilization efficiency and excellent properties in electrocatalysis. Herein, we reported an efficient ORR electrocatalyst with atomically dispersed FeN4 sites anchored on 3D hierarchically ordered microporous-mesoporous-macroporous nitrogen doped carbon (3DOM Fe–N–C). Owing to the synergism of highly dispersed FeN4 active sites and 3D hierarchically ordered porous architecture, 3DOM Fe–N–C-900, which was obtained via pyrolysis of ferrocene-encapsulated macro-microporous ZIF-8 precursor at 900 °C, exhibited an outstanding ORR activity in both alkaline (E1/2 of 0.875 V) and acid mediums (E1/2 of 0.784 V), as well as superior stability (only changed 2 mV after 10,000 cycles in alkaline medium). Moreover, 3DOM Fe–N–C-900 as ORR catalyst in zinc-air battery achieved a high power density of 235 mW cm−2 and a high specific capacity of 768.3 mAh g−1, exceeding that driven by Pt/C. Our results revealed that the 3D hierarchically porous architecture of electrocatalysts could facilitate mass transport and increase the accessibility of active sites, thus optimizing their performances in ORR. This work well demonstrated the importance of rationally engineering porous structure of the catalyst for highly efficient ORR.

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.2020.104547

Cites

49 of 49 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 49 references

Cited by

See all 304

Metadata

Authors
Zhang, X., Han, X., Jiang, Z., Xu, J., Chen, L., Xue, Y., Nie, A., Xie, Z., Kuang, Q., & Zheng, L.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2020-05
Volume
71
Pages
104547
ISSN
2211-2855 (ISSN-L)
OpenAlex
W3004194091
Cited by
304
References
49
FWCI
10.26
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: Atomically dispersed hierarchically ordered porous Fe–N–C electrocatalyst for high performance electrocatalytic oxygen reduction in Zn-Air battery. https://app.cochat.ai/papers/10.1016/j.nanoen.2020.104547
The paper
Zhang, X., Han, X., Jiang, Z., Xu, J., Chen, L., Xue, Y., Nie, A., Xie, Z., Kuang, Q., & Zheng, L. (2020). Atomically dispersed hierarchically ordered porous Fe–N–C electrocatalyst for high performance electrocatalytic oxygen reduction in Zn-Air battery. Nano Energy. https://doi.org/10.1016/j.nanoen.2020.104547

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.