Artificial intelligence in the AEC industry: scientometric analysis and visualization of research activities Darko, Amos, Chan, Albert PC, Adabre, Michael A, Edwards, David J, Hosseini, Mohammad Reza and Ameyaw, Ernest E 2020, Artificial intelligence in the AEC industry: scientometric analysis and visualization of research activities, Automation in construction, vol. 112, pp. 1-19, doi: 10.1016/j.autcon.2020.103081. Attached Files Name Description MIMEType Size Downloads Title Artificial intelligence in the AEC industry: scientometric analysis and visualization of research activities Author(s) Darko, Amos Chan, Albert PC Adabre, Michael A Edwards, David J Hosseini, Mohammad Reza orcid.org/0000-0001-8675-736X Ameyaw, Ernest E Journal name Automation in construction Volume number 112 Article ID 103081 Start page 1 End page 19 Total pages 19 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-04 ISSN 0926-5805 Keyword(s) Architecture-engineering-construction Artificial intelligence Machine intelligence Industry 4.0 Automation Digital transformation Scientometric Review Language eng DOI 10.1016/j.autcon.2020.103081 Indigenous content off Field of Research 09 Engineering 12 Built Environment and Design HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30133769 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 23 Jan 2020, 08:19:05 EST Fri, 24 Jan 2020, 04:00:20 EST Fri, 24 Jan 2020, 05:03:16 EST Tue, 28 Jan 2020, 15:07:40 EST Tue, 28 Jan 2020, 15:10:17 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 19 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 23 Jan 2020, 08:19:05 EST

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