Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 977

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Carbon‐Based Metal‐Free ORR Electrocatalysts for Fuel Cells: Past, Present, and Future

Yang, Lijun, Shui, Jianglan, Du, Lei, Shao, Yuyan, Liu, Jun, Dai, Liming, Hu, Zheng·2019·Advanced Materials

Abstract

Replacing precious platinum with earth‐abundant materials for the oxygen reduction reaction (ORR) in fuel cells has been the objective worldwide for several decades. In the last 10 years, the fastest‐growing branch in this area has been carbon‐based metal‐free ORR electrocatalysts. Great progress has been made in promoting the performance and understanding the underlying fundamentals. Here, a comprehensive review of this field is presented by emphasizing the emerging issues including the predictive design and controllable construction of porous structures and doping configurations, mechanistic understanding from the model catalysts, integrated experimental and theoretical studies, and performance evaluation in full cells. Centering on these topics, the most up‐to‐date results are presented, along with remarks and perspectives for the future development of carbon‐based metal‐free ORR electrocatalysts.

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.201804799

Cites

7 of 7 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 7 references

Cited by

See all 977

Metadata

Authors
Yang, L., Shui, J., Du, L., Shao, Y., Liu, J., Dai, L., & Hu, Z.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-01-13
Volume
31
Issue
13
Pages
e1804799-e1804799
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2908851900
Cited by
977
References
7
FWCI
30.35
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: Carbon‐Based Metal‐Free ORR Electrocatalysts for Fuel Cells: Past, Present, and Future. https://app.cochat.ai/papers/10.1002/adma.201804799
The paper
Yang, L., Shui, J., Du, L., Shao, Y., Liu, J., Dai, L., & Hu, Z. (2019). Carbon‐Based Metal‐Free ORR Electrocatalysts for Fuel Cells: Past, Present, and Future. Advanced Materials. https://doi.org/10.1002/adma.201804799

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.