Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 391

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

Surface‐Plasmon‐Enhanced Photodriven CO2 Reduction Catalyzed by Metal–Organic‐Framework‐Derived Iron Nanoparticles Encapsulated by Ultrathin Carbon Layers

Zhang, Huabin, Wang, Tao, Wang, Junjie, Liu, Huimin, Dao, Thang Duy, Li, Mu, Liu, Guigao, Meng, Xianguang, Chang, Kun, Shi, Li, Nagao, Tadaaki, Ye, Jinhua·2016·Advanced Materials

Abstract

Highly efficient utilization of solar light with an excellent reduction capacity is achieved for plasmonic Fe@C nanostructures. By carbon layer coating, the optimized catalyst exhibits enhanced selectivity and stability applied to the solar-driven reduction of CO2 into CO. The surface-plasmon effect of iron particles is proposed to excite CO2 molecules, and thereby facilitates the final reaction activity.

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/adma.201505187

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 391

Metadata

Authors
Zhang, H., Wang, T., Wang, J., Liu, H., Dao, T. D., Li, M., Liu, G., Meng, X., Chang, K., Shi, L., Nagao, T., & Ye, J.
Venue
Advanced Materials
Publisher
Wiley
Published
2016-03-22
Volume
28
Issue
19
Pages
3703-3710
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2309089891
Cited by
391
References
3
FWCI
9.65
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: Surface‐Plasmon‐Enhanced Photodriven CO2 Reduction Catalyzed by Metal–Organic‐Framework‐Derived Iron Nanoparticles Encapsulated by Ultrathin Carbon Layers. https://app.cochat.ai/papers/10.1002/adma.201505187
The paper
Zhang, H., Wang, T., Wang, J., Liu, H., Dao, T. D., Li, M., Liu, G., Meng, X., Chang, K., Shi, L., Nagao, T., & Ye, J. (2016). Surface‐Plasmon‐Enhanced Photodriven CO2 Reduction Catalyzed by Metal–Organic‐Framework‐Derived Iron Nanoparticles Encapsulated by Ultrathin Carbon Layers. Advanced Materials. https://doi.org/10.1002/adma.201505187

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.