Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 561

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Activating CoOOH Porous Nanosheet Arrays by Partial Iron Substitution for Efficient Oxygen Evolution Reaction

Ye, Sheng‐Hua, Shi, Zi‐Xiao, Feng, Jin‐Xian, Tong, Ye‐Xiang, Li, Gao‐Ren·2018·Angewandte Chemie International Edition

Abstract

Iron‐substituted CoOOH porous nanosheet arrays grown on carbon fiber cloth (denoted as Fe x Co 1−x OOH PNSAs/CFC, 0≤x≤0.33) with 3D hierarchical structures are synthesized by in situ anodic oxidation of α‐Co(OH)2 NSAs/CFC in solution of 0.01 m (NH 4)2 Fe(SO 4)2. X‐ray absorption fine spectra (XAFS) demonstrate that CoO 6 octahedral structure in CoOOH can be partially substituted by FeO 6 octahedrons during the transformation from α‐Co(OH)2 to Fe x Co 1−x OOH, and this is confirmed for the first time in this study. The content of Fe in Fe x Co 1−x OOH, no more than 1/3 of Co, can be controlled by adjusting the in situ anodic oxidation time. Fe 0.33 Co 0.67 OOH PNSAs/CFC shows superior OER electrocatalytic performance, with a low overpotential of 266 mV at 10 mA cm−2, small Tafel slope of 30 mV dec−1, and high durability.

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/anie.201712549

Cites

51 of 51 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 51 references

Cited by

See all 561

Metadata

Authors
Ye, S., Shi, Z., Feng, J., Tong, Y., & Li, G.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-02-08
Volume
57
Issue
10
Pages
2672-2676
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2790704802
Cited by
561
References
51
FWCI
19.23
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: Activating CoOOH Porous Nanosheet Arrays by Partial Iron Substitution for Efficient Oxygen Evolution Reaction. https://app.cochat.ai/papers/10.1002/anie.201712549
The paper
Ye, S., Shi, Z., Feng, J., Tong, Y., & Li, G. (2018). Activating CoOOH Porous Nanosheet Arrays by Partial Iron Substitution for Efficient Oxygen Evolution Reaction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201712549

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.