Cited by 84Electrocatalysts for Energy ConversionCO2 Reduction Techniques and CatalystsAdvanced Photocatalysis Techniques

Overall water-splitting reaction efficiently catalyzed by a novel bi-functional Ru/Ni 3 N–Ni electrode

Liu, Zong, Zha, Meng, Wang, Quan, Hu, Guangzhi, Feng, Ligang·2020·Chemical Communications

Abstract

The Ru/Ni 3 N–Ni catalyst was efficient as a novel bi-functional catalyst for hydrogen and oxygen evolution reactions in water-splitting.

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Crossref · 10.1039/c9cc09187d

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References 29 · Cited by 84

Authors
Liu, Z., Zha, M., Wang, Q., Hu, G., & Feng, L.
Affiliations
  • Key Laboratory of Medicinal Chemistry for Natural Resource (Yunnan University)
  • Yunnan University (CN)
  • Yangzhou University (CN)
Corresponding author
  • Hu, Guangzhi
  • Feng, Ligang
Venue
Chemical Communications
Published
2020
Volume
56
Issue
15
Pages
2352-2355
ISSN
  • 1359-7345 (ISSN-L)
  • 1364-548X
OpenAlex
W2999413267
Cited by
84
References
29
Citations by year
2026: 4 · 2025: 2 · 2024: 8 · 2023: 15 · 2022: 13 · 2021: 23 · 2020: 19
FWCI
3.46
Type
journal article
Language
en
Open access
closed
Locations
  • Chemical Communications (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (21603041, 21972124)
  • Priority Academic Program Development of Jiangsu Higher Education Institutions
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Advanced Photocatalysis Techniques
Keywords
water splitting, hydrogen evolution reaction, oxygen evolution reaction, bifunctional electrocatalysts, nickel nitride, ruthenium catalysts, electrocatalysis

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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.

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