Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 413

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Porous Molybdenum‐Based Hybrid Catalysts for Highly Efficient Hydrogen Evolution

Tang, Yu‐Jia, Gao, Min‐Rui, Liu, Chun‐Hui, Li, Shun‐Li, Jiang, Hai‐Long, Lan, Ya‐Qian, Han, Min, Yu, Shu‐Hong·2015·Angewandte Chemie International Edition

Abstract

We have synthesized a porous Mo‐based composite obtained from a polyoxometalate‐based metal–organic framework and graphene oxide (POMOFs/GO) using a simple one‐pot method. The MoO 2@PC‐RGO hybrid material derived from the POMOFs/GO composite is prepared at a relatively low carbonization temperature, which presents a superior activity for the hydrogen‐evolution reaction (HER) in acidic media owing to the synergistic effects among highly dispersive MoO 2 particles, phosphorus‐doped porous carbon, and RGO substrates. MoO 2@PC‐RGO exhibits a very positive onset potential close to that of 20 % Pt/C, low Tafel slope of 41 mV dec−1, high exchange current density of 4.8×10−4 A cm−2, and remarkable long‐term cycle stability. It is one of the best high‐performance catalysts among the reported nonprecious metal catalysts for HER to date.

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.201505691

Cites

9 of 9 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 9 references

Cited by

See all 413

Metadata

Authors
Tang, Y., Gao, M., Liu, C., Li, S., Jiang, H., Lan, Y., Han, M., & Yu, S.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2015-10-05
Volume
54
Issue
44
Pages
12928-12932
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2116094891
Cited by
413
References
9
FWCI
18.38
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: Porous Molybdenum‐Based Hybrid Catalysts for Highly Efficient Hydrogen Evolution. https://app.cochat.ai/papers/10.1002/anie.201505691
The paper
Tang, Y., Gao, M., Liu, C., Li, S., Jiang, H., Lan, Y., Han, M., & Yu, S. (2015). Porous Molybdenum‐Based Hybrid Catalysts for Highly Efficient Hydrogen Evolution. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201505691

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.