EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420(Print)
ISSN:2432-5953(Online)


SCImago Journal & Country Rank

Metrics by SCOPUS 2023

CiteScore:4.3
SJR:0.376
SNIP: 1.513

SCImago Journal & Country Rank
Metrics by SCOPUS 2023
CiteScore
4.3
SJR
0.376
SNIP
1.513

Aim & Scopes

Aim

EVERGREEN - Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy” is an international journal. The journal adopts the open access policy and publication is online. The journal aims to serve as a platform for all practitioners in science, engineering, technology, academic, industry, and research organizations to contribute to the realization of sustainable society and Green Asia where ecology and economic growth coexist. The journal is jointly edited by Transdisciplinary Research and Education Center for Green Technologies, Kyushu University, Leading Graduate School of Global Strategy for Green Asia, Research and Education Center of Carbon Resources, and Research and Education Center for Energy Materials, Devices, and Systems, Kyushu University. EVERGREEN has been publishing quality papers four times (March, June, September, and December) a year since 2014.

Scopes

EVERGREEN publishes articles that contribute to the sustainable environment and carbon neutral society. Particular attention is devoted to Novel Carbon Resource Sciences and Green Asia Strategy. The scope of EVERGREEN includes contributions to natural and social sciences. EVERGREEN welcomes submissions of good quality papers from all over the World. EVERGREEN publishes articles in diverse fields including, but not limited to,

  • Novel Carbon Resource Sciences
  • Green Asia Strategy
  • Environmental Science
  • Material Science
  • Surface Science
  • Ceramics and Composites
  • Renewable Energy
  • Electronic, Optical and Magnetic Materials
  • Management, Monitoring, Policy and Law
  • Surfaces, Coating and Films
  • Engineering (miscellaneous)
  • Management of Technology and Innovation
  • Economics
  • Computer Science
  • Artificial Intelligence and Machine Learning
  • Data Science

 

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