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is ?:annotates of
?:authorAffiliation
  • [\'Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125.\', \'School of Environment, Tsinghua University, Beijing 100084, China.\', \'Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125; yuan.wang@caltech.edu zhsjun@tsinghua.edu.cn seinfeld@caltech.edu.\', \'Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.\', \'School of Environment, Tsinghua University, Beijing 100084, China; yuan.wang@caltech.edu zhsjun@tsinghua.edu.cn seinfeld@caltech.edu.\', \'Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.\', \'Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.\', \'Department of Geography, University of Mainz, 55099 Mainz, Germany.\', \'Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125; yuan.wang@caltech.edu zhsjun@tsinghua.edu.cn seinfeld@caltech.edu.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • e210270511810.1073/pnas.2102705118
?:hasPublicationType
?:journal
  • Proceedings of the National Academy of Sciences of the United States of America
is ?:pmid of
?:pmid
?:pmid
  • 34155113
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 6.092
?:rankingScore_hIndex
  • 675
?:title
  • From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model.
?:type
?:year
  • 2021

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