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Cited by 686

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Nickel Nanoparticles Encapsulated in Few‐Layer Nitrogen‐Doped Graphene Derived from Metal–Organic Frameworks as Efficient Bifunctional Electrocatalysts for Overall Water Splitting

Xu, You, Tu, Wenguang, Zhang, Bowei, Yin, Shengming, Huang, Yizhong, Kraft, Markus, Xu, Rong·2017·Advanced Materials
DOI 10.1002/adma.201605957
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Abstract

Nickel nanoparticles encapsulated in few-layer nitrogen-doped graphene (Ni@NC) are synthesized by using a Ni-based metal-organic framework as the precursor for high-temperature annealing treatment. The resulting Ni@NC materials exhibit highly efficient and ultrastable electrocatalytic activity toward the hydrogen evolution reaction and the oxygen evolution reaction as well as overall water splitting in alkaline environment.

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Citations

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Show all 10 references

Research works printed but not linked: 58

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Metadata

Authors
Xu, Y., Tu, W., Zhang, B., Yin, S., Huang, Y., Kraft, M., & Xu, R.
Venue
Advanced Materials
Publisher
Wiley
Published
2017-01-19
Volume
29
Issue
11
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
DOI
10.1002/adma.201605957
OpenAlex
W2577783746
Cited by
686
References
10
FWCI
25.40
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Funders
National Research Foundation Singapore

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CoChat. (2026). Citation check: Nickel Nanoparticles Encapsulated in Few‐Layer Nitrogen‐Doped Graphene Derived from Metal–Organic Frameworks as Efficient Bifunctional Electrocatalysts for Overall Water Splitting. https://app.cochat.ai/papers/10.1002/adma.201605957
The paper
Xu, Y., Tu, W., Zhang, B., Yin, S., Huang, Y., Kraft, M., & Xu, R. (2017). Nickel Nanoparticles Encapsulated in Few‐Layer Nitrogen‐Doped Graphene Derived from Metal–Organic Frameworks as Efficient Bifunctional Electrocatalysts for Overall Water Splitting. Advanced Materials. https://doi.org/10.1002/adma.201605957

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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.