Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/87833
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building and Real Estate | en_US |
dc.creator | Wu, H | en_US |
dc.creator | Zhao, Z | en_US |
dc.creator | Xue, X | en_US |
dc.creator | Shen, GQ | en_US |
dc.creator | Yang, RJ | en_US |
dc.creator | Wang, L | en_US |
dc.date.accessioned | 2020-08-19T06:27:36Z | - |
dc.date.available | 2020-08-19T06:27:36Z | - |
dc.identifier.issn | 1392-3730 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/87833 | - |
dc.language.iso | en | en_US |
dc.publisher | Vilnius Gedinimas Technical University | en_US |
dc.rights | Copyright © 2020 The Author(s). Published by VGTU Press | en_US |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_US |
dc.rights | The following publication Wu, H., Zhao, Z., Xue, X., Shen, G. Q., Yang, R. J., & Wang, L. (2020). An integrated scientometric and SNA approach to explore the classics in CEM research. Journal of Civil Engineering and Management, 26(5), 459-474 is available at https://dx.doi.org/10.3846/jcem.2020.12645 | en_US |
dc.subject | Classics | en_US |
dc.subject | Construction engineering and management | en_US |
dc.subject | G-index | en_US |
dc.subject | Co-citation analysis | en_US |
dc.subject | Social network analysis | en_US |
dc.subject | Modularity optimization | en_US |
dc.title | An integrated scientometric and SNA approach to explore the classics in CEM research | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 459 | en_US |
dc.identifier.epage | 474 | en_US |
dc.identifier.volume | 26 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.doi | 10.3846/jcem.2020.12645 | en_US |
dcterms.abstract | This study explores the classics that significantly contribute to the research of construction engineering and management (CEM). Previous studies usually simply applied the number of citation to identify the classics, causing some flaws. To overcome the flaws, an advanced approach is developed by integrating scientometric methods (G-index and co-citation analysis) and a social network analysis (SNA) technique (modularity optimization algorithm), thus providing more precise and persuasive results that denote what academic works have made significant inspirations and illuminations on CEM research. This study retrieves 13,273 CEM literature and extracts 336,129 bibliographies from these literature. Based on the G-index, a total of 67 publications are identified as CEM classics. Moreover, this paper measures and maps the structure of the classics by using co-citation analysis and modularity optimization algorithm. The results provide a basic source of academic information representing the foundation of CEM and draw a big picture of CEM to show the underlying associations between the identified classics. This can help researchers recognize the key scientific contributions for improving the academy progress. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of civil engineering and management, 2020, v. 26, no. 5, p. 459-474 | en_US |
dcterms.isPartOf | Journal of civil engineering and management | en_US |
dcterms.issued | 2020 | - |
dc.identifier.isi | WOS:000537944100005 | - |
dc.identifier.scopus | 2-s2.0-85088925954 | - |
dc.identifier.eissn | 1822-3605 | en_US |
dc.description.validate | 202008 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a1135-n02, OA_Scopus/WOS | - |
dc.identifier.SubFormID | 43985 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Social Science Fund of China 18ZDA043 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wu_Scientometric_SNA_CEM.pdf | 1.02 MB | Adobe PDF | View/Open |
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