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Junnian Song · Study

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Junnian Song

8 works· latest 2021· 1 institutionscluster: provisionalORCID 0000-0002-9301-8001

h-index8

i108

Citations1,160

Works here8

18

19

21

Most cited in this library

Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces2019 · 300 citations
China’s pathways to peak carbon emissions: New insights from various industrial sectors2021 · 216 citations
Selecting sustainable energy conversion technologies for agricultural residues: A fuzzy AHP-VIKOR based prioritization from life cycle perspective2018 · 172 citations
How can national ETS affect carbon emissions and abatement costs? Evidence from the dual goals proposed by China's NDCs2021 · 107 citations
Low-carbon developments in Northeast China: Evidence from cities2018 · 100 citations

Works

8 shown

China’s pathways to peak carbon emissions: New insights from various industrial sectors

Applied Energy·2021·5 authors

216citations

Coupling between energy efficiency and industrial structure: An urban agglomeration case

Energy·2021·4 authors

88citations

How can national ETS affect carbon emissions and abatement costs? Evidence from the dual goals proposed by China's NDCs

Resources Conservation and Recycling·2021·6 authors

107citations

Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces

Applied Energy·2019·7 authors

300citations

Assessment of the carbon emissions reduction potential of China's iron and steel industry based on a simulation analysis

Energy·2019·7 authors

92citations

Low-carbon developments in Northeast China: Evidence from cities

Applied Energy·2018·7 authors

100citations

Selecting sustainable energy conversion technologies for agricultural residues: A fuzzy AHP-VIKOR based prioritization from life cycle perspective

Resources Conservation and Recycling·2018·6 authors·Open access

172citations

Exploring potential pathways towards fossil energy-related GHG emission peak prior to 2030 for China: An integrated input-output simulation model

Journal of Cleaner Production·2018·5 authors

85citations