Cited by 92Vehicle emissions and performanceEnvironmental Impact and SustainabilityEngineering and Materials Science Studies

Economic Assessment of Greenhouse Gas Emissions Reduction by Vehicle Lightweighting Using Aluminum and High-Strength Steel

Kim, Hyung-Ju, Keoleian, Gregory A., Skerlos, Steven J.·2011·Journal of Industrial Ecology

Integrity signals

Registry

Crossref · 10.1111/j.1530-9290.2010.00288.x

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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Authors
Kim, H.-J., Keoleian, G. A., & Skerlos, S. J.
Affiliations
University of Michigan (US)
Corresponding author
Kim, Hyung-Ju
Venue
Journal of Industrial Ecology
Published
2010-11-12
Volume
15
Issue
1
Pages
64-80
ISSN
1088-1980 (ISSN-L)
OpenAlex
W2097010530
Cited by
92
References
19
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 9 · 2022: 4 · 2021: 9 · 2020: 9 · 2019: 10 · 2018: 5 · 2017: 4 · 2016: 5 · 2015: 2 · 2014: 6 · 2013: 8 · 2012: 9
FWCI
14.71
Type
journal article
Language
en
Open access
closed
Locations
Journal of Industrial Ecology (publishedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
  • Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
  • Physical Sciences › Engineering › Mechanical Engineering › Engineering and Materials Science Studies
Keywords
automotive lightweighting, greenhouse gas emissions reduction, aluminum, high-strength steel, life cycle cost, production costs, fuel cost reduction, cost-effectiveness, passenger cars, hybrid electric powertrain, plug-in hybrid electric vehicles, diesel vehicles, automotive industry

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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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