Cited by 64CO2 Reduction Techniques and CatalystsCatalysts for Methane ReformingCarbon dioxide utilization in catalysis

A pH-differential dual-electrolyte microfluidic electrochemical cells for CO2 utilization

Lu, Xu, Leung, Dennis Y.C., Wang, Huizhi, Maroto-Valer, M. Mercedes, Xuan, Jin·2016·Renewable Energy

Integrity signals

Registry

Crossref · 10.1016/j.renene.2016.04.021

Cites

70 of 70 references verified0 citation errors · 0 not checkable

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1 of the 71 references couldn’t be matched to a known paper.

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Authors
Lu, X., Leung, D. Y. C., Wang, H., Maroto-Valer, M. M., & Xuan, J.
Affiliations
  • University of Hong Kong (HK)
  • Heriot-Watt University (GB)
Corresponding author
  • Leung, Dennis Y.C.
  • Xuan, Jin
Venue
Renewable Energy
Publisher
Elsevier BV
Published
2016-09
Volume
95
Pages
277-285
ISSN
0960-1481 (ISSN-L)
OpenAlex
W2336977035
Cited by
64
References
71
Citations by year
2026: 1 · 2025: 7 · 2024: 9 · 2023: 10 · 2022: 6 · 2021: 10 · 2020: 5 · 2019: 5 · 2018: 4 · 2017: 6 · 2016: 1
FWCI
1.45
Type
journal article
Language
en
Open access
closed
Locations
  • Renewable Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
  • CRCG of the University of Hong Kong (106130045.010662.14500)
  • Scottish – Hong Kong SFC/RGC Joint Research Scheme (XHKU710/14)
  • SFC (H15009)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
  • Physical Sciences › Chemical Engineering › Catalysis › Catalysts for Methane Reforming
  • Physical Sciences › Chemical Engineering › Process Chemistry and Technology › Carbon dioxide utilization in catalysis
Keywords
electrochemical CO2 reduction, pH gradient, laminar flow, electrode overpotential, Faradaic efficiency, energy efficiency, virtual interface, CO2 utilization

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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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