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Energy
Article . 2022 . Peer-reviewed
License: Elsevier TDM
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Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2022Publisher:Elsevier BVJournal:Energy, volume 248, page 123,611 (issn: 0360-5442, Copyright policy )
Authors: Huaiyu Wang; Changwei Ji; Cheng Shi; Yunshan Ge; Hao Meng; Jinxin Yang; Ke Chang; +1 Authors

doi: 10.1016/j.energy.2022.123611

Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
77
Top 1%
Top 10%
Top 1%
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