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Article: iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development

TitleiEarth: an interdisciplinary framework in the era of big data and AI for sustainable development
Authors
Issue Date3-Aug-2023
PublisherOxford University Press
Citation
National Science Review, 2023, v. 10, n. 8 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/340345
ISSN
2021 Impact Factor: 23.178
2020 SCImago Journal Rankings: 2.433

 

DC FieldValueLanguage
dc.contributor.authorGong, Peng-
dc.contributor.authorGuo, Huadong-
dc.contributor.authorChen, Bin-
dc.contributor.authorChen, F-
dc.contributor.authorHe, Guojun-
dc.contributor.authorLiang, D-
dc.contributor.authorLiu, Z-
dc.contributor.authorSun, Z-
dc.contributor.authorWu, Jin-
dc.contributor.authorXu, Zhenci-
dc.contributor.authorZhang, Hongsheng-
dc.date.accessioned2024-03-11T10:43:28Z-
dc.date.available2024-03-11T10:43:28Z-
dc.date.issued2023-08-03-
dc.identifier.citationNational Science Review, 2023, v. 10, n. 8-
dc.identifier.issn2095-5138-
dc.identifier.urihttp://hdl.handle.net/10722/340345-
dc.languageeng-
dc.publisherOxford University Press-
dc.relation.ispartofNational Science Review-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleiEarth: an interdisciplinary framework in the era of big data and AI for sustainable development-
dc.typeArticle-
dc.identifier.doi10.1093/nsr/nwad178-
dc.identifier.scopuseid_2-s2.0-85167616787-
dc.identifier.volume10-
dc.identifier.issue8-
dc.identifier.eissn2053-714X-
dc.identifier.issnl2053-714X-

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