Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 204

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

MOF-Derived Zn-Doped CoSe2 as an Efficient and Stable Free-Standing Catalyst for Oxygen Evolution Reaction

Dong, Qiuchun, Wang, Qian, Dai, Ziyang, Qiu, Huajun, Dong, Xiaochen·2016·ACS Applied Materials & Interfaces

Abstract

Developing highly active electrocatalysts with low cost and high efficiency for oxygen evolution reactions (OER) is important for the practical implementations of hydrogen energy. Here, we report a Zn-doped CoSe 2 nanosheets grown on free-standing carbon fabric collector (CFC), which was synthesized by using a metal–organic framework (MOF) as precursor and followed by a selenylation process. Importantly, the Zn-doped CoSe 2 /CFC electrode exhibited an obviously enhanced catalytic activity for OER in 1 M KOH aqueous solution compared with CoSe 2 /CFC, showing a small overpotential of 356 mV for a current density of 10 mA cm –2, a small Tafel slope of 88 mV dec –1, and an excellent stability. The robust and free-standing electrode shows great potential as an economic catalyst for OER applications.

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 · 10.1021/acsami.6b10160

Cites

5 of 5 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 5 references

Cited by

See all 204

Metadata

Authors
Dong, Q., Wang, Q., Dai, Z., Qiu, H., & Dong, X.
Venue
ACS Applied Materials & Interfaces
Published
2016-09-28
Volume
8
Issue
40
Pages
26902-26907
ISSN
  • 1944-8244 (ISSN-L)
  • 1944-8252
OpenAlex
W2523098876
Cited by
204
References
5
FWCI
7.60
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: MOF-Derived Zn-Doped CoSe2 as an Efficient and Stable Free-Standing Catalyst for Oxygen Evolution Reaction. https://app.cochat.ai/papers/10.1021/acsami.6b10160
The paper
Dong, Q., Wang, Q., Dai, Z., Qiu, H., & Dong, X. (2016). MOF-Derived Zn-Doped CoSe2 as an Efficient and Stable Free-Standing Catalyst for Oxygen Evolution Reaction. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.6b10160

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.