Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115164
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorFaculty of Construction and Environment-
dc.creatorXiao, Z-
dc.creatorFan, L-
dc.creatorYu, Z-
dc.creatorLiu, X-
dc.date.accessioned2025-09-15T02:22:35Z-
dc.date.available2025-09-15T02:22:35Z-
dc.identifier.urihttp://hdl.handle.net/10397/115164-
dc.language.isoenen_US
dc.publisherSpringer Chamen_US
dc.rights© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Xiao, Z., Fan, L., Yu, Z. et al. Characterizing pandemic-related publications: a retrospective study using spatial citation network analysis. Comput.Urban Sci. 5, 25 (2025) is available at https://doi.org/10.1007/s43762-025-00184-y.en_US
dc.subjectAcademic networksen_US
dc.subjectCitation analysisen_US
dc.subjectCOVID-19en_US
dc.subjectKnowledgeen_US
dc.subjectUrban studiesen_US
dc.titleCharacterizing pandemic-related publications : a retrospective study using spatial citation network analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume5-
dc.identifier.issue1-
dc.identifier.doi10.1007/s43762-025-00184-y-
dcterms.abstractThe COVID-19 pandemic sparked a surge in research across disciplines, offering vital knowledge for addressing the crisis and earning widespread citations. Yet, the spatiotemporal patterns within these citation networks are underexplored. This study uses network analysis to examine pandemic-related publications from 2019 to 2023, building two citation networks: one from internal citations among 7,641 papers and another including their 217,453 external references. The analytical findings reveal a not widespread impact in the citation of pandemic-related publications, suggesting that a small number of studies gained the most of research focus from subsequent studies. Thematically, research shifted from immediate responses (e.g., "lockdown") to broader impacts (e.g., "mental health"), signaling a focus on long-term resilience. Spatially, citations cluster in regions like the eastern U.S., Europe, and East Asia, while areas like Africa and Inner Asia show limited integration, highlighting geographic disparities and imbalanced networks. This analysis sheds light on interdisciplinary and regional collaboration in pandemic research and emphasizes the need for equitable global participation in knowledge networks. These insights offer practical implications for enhancing research dissemination in future health crises.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputational urban science, Dec. 2025, v. 5, no. 1, 25-
dcterms.isPartOfComputational urban science-
dcterms.issued2025-12-
dc.identifier.scopus2-s2.0-105004425168-
dc.identifier.eissn2730-6852-
dc.identifier.artn25-
dc.description.validate202509 bcch-
dc.description.oaVersion or Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextContributions: Xiao Zhiyang: manuscript writing, data collection, data analysis. Fan Lingyu: visualization, Software. Yu Zidong: manuscript formatting and language editing. Liu Xintao: conception, funding support.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status open access
File Version Version or Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.