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BIM-Based Visualization Research in the Construction Industry: A Network Analysis

Author

Listed:
  • Zezhou Wu

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Changhong Chen

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Yuzhu Cai

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Chen Lu

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Hao Wang

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Tao Yu

    (Department of Construction Management, School of Civil Engineering, Harbin Institute of Technology, Harbin 150006, China)

Abstract

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.

Suggested Citation

  • Zezhou Wu & Changhong Chen & Yuzhu Cai & Chen Lu & Hao Wang & Tao Yu, 2019. "BIM-Based Visualization Research in the Construction Industry: A Network Analysis," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3473-:d:268345
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    References listed on IDEAS

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    Cited by:

    1. Zezhou Wu & Danting Zhang & Shenghan Li & Jianbo Fei & Changhong Chen & Bin Tian & Maxwell Fordjour Antwi-Afari, 2022. "Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    2. Zezhou Wu & Mingyang Jiang & Heng Li & Xiaochun Luo & Xiaoying Li, 2021. "Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    3. Nehal Elshaboury & Abobakr Al-Sakkaf & Eslam Mohammed Abdelkader & Ghasan Alfalah, 2022. "Construction and Demolition Waste Management Research: A Science Mapping Analysis," IJERPH, MDPI, vol. 19(8), pages 1-25, April.
    4. Yu Cao & Liyan Huang & Nur Mardhiyah Aziz & Syahrul Nizam Kamaruzzaman, 2022. "Building Information Modelling (BIM) Capabilities in the Design and Planning of Rural Settlements in China: A Systematic Review," Land, MDPI, vol. 11(10), pages 1-34, October.

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