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BIM-Based Visualization Research in the Construction Industry: A Network Analysis
Visualization is one of the main features of Building Information Modeling (BIM). It has many advantages throughout the lifecycle of a construction project, and it has become a timely research topic in recent years. However, no attempt has been made to give a holistic understanding of the existing B...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766038/ https://www.ncbi.nlm.nih.gov/pubmed/31540471 http://dx.doi.org/10.3390/ijerph16183473 |
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author | Wu, Zezhou Chen, Changhong Cai, Yuzhu Lu, Chen Wang, Hao Yu, Tao |
author_facet | Wu, Zezhou Chen, Changhong Cai, Yuzhu Lu, Chen Wang, Hao Yu, Tao |
author_sort | Wu, Zezhou |
collection | PubMed |
description | Visualization is one of the main features of Building Information Modeling (BIM). It has many advantages throughout the lifecycle of a construction project, and it has become a timely research topic in recent years. However, no attempt has been made to give a holistic understanding of the existing BIM-based visualization research status. Thus, this study aims to conduct a scientometric analysis of the existing BIM-based visualization literature and to gain a snapshot of the research status during the period 2010–2019. A total of 255 articles were abstracted from the Scopus database. Then, the VOSviewer program was employed to visualize the research status from the perspectives of scholars, countries/regions, journals, articles, and co-occurring keywords. Results revealed that Wang X. published the greatest number of articles, while Cheng J.C.P. received the greatest average normalized citations. Furthermore, Automation in Construction was identified as the most influential journal and the article “Building information modeling (BIM): trends, benefits, risks, and challenges for the AEC industry” was the most cited paper. Through the keywords co-occurrence analysis, “virtual reality” and “visual programming language” were identified as the emerging themes in this field. The research findings can provide both researchers and practitioners with a better understanding of the status quo and trends of the BIM-based visualization research. |
format | Online Article Text |
id | pubmed-6766038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67660382019-09-30 BIM-Based Visualization Research in the Construction Industry: A Network Analysis Wu, Zezhou Chen, Changhong Cai, Yuzhu Lu, Chen Wang, Hao Yu, Tao Int J Environ Res Public Health Review Visualization is one of the main features of Building Information Modeling (BIM). It has many advantages throughout the lifecycle of a construction project, and it has become a timely research topic in recent years. However, no attempt has been made to give a holistic understanding of the existing BIM-based visualization research status. Thus, this study aims to conduct a scientometric analysis of the existing BIM-based visualization literature and to gain a snapshot of the research status during the period 2010–2019. A total of 255 articles were abstracted from the Scopus database. Then, the VOSviewer program was employed to visualize the research status from the perspectives of scholars, countries/regions, journals, articles, and co-occurring keywords. Results revealed that Wang X. published the greatest number of articles, while Cheng J.C.P. received the greatest average normalized citations. Furthermore, Automation in Construction was identified as the most influential journal and the article “Building information modeling (BIM): trends, benefits, risks, and challenges for the AEC industry” was the most cited paper. Through the keywords co-occurrence analysis, “virtual reality” and “visual programming language” were identified as the emerging themes in this field. The research findings can provide both researchers and practitioners with a better understanding of the status quo and trends of the BIM-based visualization research. MDPI 2019-09-18 2019-09 /pmc/articles/PMC6766038/ /pubmed/31540471 http://dx.doi.org/10.3390/ijerph16183473 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Wu, Zezhou Chen, Changhong Cai, Yuzhu Lu, Chen Wang, Hao Yu, Tao BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title | BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title_full | BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title_fullStr | BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title_full_unstemmed | BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title_short | BIM-Based Visualization Research in the Construction Industry: A Network Analysis |
title_sort | bim-based visualization research in the construction industry: a network analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766038/ https://www.ncbi.nlm.nih.gov/pubmed/31540471 http://dx.doi.org/10.3390/ijerph16183473 |
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