Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns

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datacite.relatedItem.firstPage113
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2079-8954
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleSystems
datacite.relatedItem.volume12
dc.contributor.authorYunfan Li
dc.contributor.authorShiyong Liu
dc.contributor.authorAn Zeng
dc.contributor.authorJun Wu
dc.contributor.authorJiayu Zhang
dc.contributor.authorWeiwei Zhang
dc.contributor.authorSheng Li
dc.date.accessioned2025-05-22T12:14:49Z
dc.date.available2025-05-22T12:14:49Z
dc.date.issued2024
dc.identifier.doihttps://doi.org/10.3390/systems12040113
dc.identifier.otherjz000181-0111
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/40106
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600
dc.titleInterdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/40107
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