Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 457

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

Efficient electron transmission in covalent organic framework nanosheets for highly active electrocatalytic carbon dioxide reduction

Open access
Zhu, Hong-Jing, Lu, Meng, Wang, Yi-Rong, Yao, Su-Juan, Zhang, Mi, Kan, Yu-He, Liu, Jiang, Chen, Yifa, Li, Shun-Li, Lan, Ya-Qian·2020·Nature Communications

Abstract

Efficient conversion of carbon dioxide (CO 2) into value-added products is essential for clean energy research. Design of stable, selective, and powerful electrocatalysts for CO 2 reduction reaction (CO 2 RR) is highly desirable yet largely unmet. In this work, a series of metalloporphyrin-tetrathiafulvalene based covalent organic frameworks (M-TTCOFs) are designed. Tetrathiafulvalene, serving as electron donator or carrier, can construct an oriented electron transmission pathway with metalloporphyrin. Thus-obtained M-TTCOFs can serve as electrocatalysts with high FE CO (91.3%, −0.7 V) and possess high cycling stability (>40 h). In addition, after exfoliation, the FE CO value of Co-TTCOF nanosheets (~5 nm) is higher than 90% in a wide potential range from −0.6 to −0.9 V and the maximum FE CO can reach up to almost 100% (99.7%, −0.8 V). The electrocatalytic CO 2 RR mechanisms are discussed and revealed by density functional theory calculations. This work paves a new way in exploring porous crystalline materials in electrocatalytic CO 2 RR.

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 · 10.1038/s41467-019-14237-4

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 457

Metadata

Authors
Zhu, H.-J., Lu, M., Wang, Y.-R., Yao, S.-J., Zhang, M., Kan, Y.-H., Liu, J., Chen, Y., Li, S.-L., & Lan, Y.-Q.
Venue
Nature Communications
Published
2020-01-24
Volume
11
Issue
1
Pages
497-497
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3003061390
Cited by
457
References
5
FWCI
13.25
Type
journal article
Language
en
Open access
gold

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: Efficient electron transmission in covalent organic framework nanosheets for highly active electrocatalytic carbon dioxide reduction. https://app.cochat.ai/papers/10.1038/s41467-019-14237-4
The paper
Zhu, H.-J., Lu, M., Wang, Y.-R., Yao, S.-J., Zhang, M., Kan, Y.-H., Liu, J., Chen, Y., Li, S.-L., & Lan, Y.-Q. (2020). Efficient electron transmission in covalent organic framework nanosheets for highly active electrocatalytic carbon dioxide reduction. Nature Communications. https://doi.org/10.1038/s41467-019-14237-4

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.