Cited by 80Electrocatalysts for Energy ConversionCatalytic Processes in Materials ScienceCO2 Reduction Techniques and Catalysts

Engineering the electronic structure of platinum single-atom sites via tailored porous carbon nanofibers for large-scale hydrogen production

Han, Ying, Duan, Hengli, Liu, Wei, Zhou, Chenhui, Wang, Baoshun, Jiang, Qinyuan, Feng, Sihua, Yan, Wensheng +2 more·2023·Applied Catalysis B: Environmental

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Crossref · 10.1016/j.apcatb.2023.122898

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References 43 · Cited by 80

Authors
Han, Y., Duan, H., Liu, W., Zhou, C., Wang, B., Jiang, Q., Feng, S., Yan, W., Tan, T., & Zhang, R.
Affiliations
  • Tsinghua University (CN)
  • University of Science and Technology of China (CN)
  • Chinese Academy of Sciences (CN)
Corresponding author
  • Tan, Ting
  • Zhang, Rufan
Venue
Applied Catalysis B: Environmental
Publisher
Elsevier BV
Published
2023-10
Volume
335
Pages
122898
ISSN
0926-3373 (ISSN-L)
OpenAlex
W4377141643
Cited by
80
References
43
Citations by year
2026: 16 · 2025: 32 · 2024: 24 · 2023: 8
FWCI
3.83
Type
journal article
Language
en
Open access
closed
Locations
Applied Catalysis B: Environmental (publishedVersion)
Funders
  • National Natural Science Foundation of China
  • China Postdoctoral Science Foundation
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Materials Science › Materials Chemistry › Catalytic Processes in Materials Science
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
Keywords
platinum single-atom catalysts, hydrogen evolution reaction, nitrogen-doped carbon nanofibers, porous carbon support, electronic structure engineering, binder-free electrodes, hydrogen production, 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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