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Han, D., Zhao, W., Yin, H., Qu, M., Zhu, J., Ma, F., et al. (2024) Large Language Models Driven BIM-Based DFMA Method for Free-Form Prefabricated Buildings: Framework and a Usefulness Case Study. Journal of Asian Architecture and Building Engineering, 24, 1500-1517.
https://doi.org/10.1080/13467581.2024.2329351

has been cited by the following article:

• TITLE: Digitalization of the Construction Industry Driven by AI and BIM: A Bibliometric Study Using CiteSpace and VOSviewer

  AUTHORS: Xiaoqing Peng

  KEYWORDS: AI, BIM, Smart Construction, Construction Industry, Digitalization

  JOURNAL NAME: Engineering, Vol.17 No.11, November 14, 2025

  ABSTRACT: The article which is a review of relevant literature from 2020 to 2024, explores the integrated application of Artificial Intelligence (AI) and Building Information Modeling (BIM) in a construction industry and its future development. Research indicates that AI can learn and apply big data through complex algorithms, thereby enhancing production efficiency and accuracy. BIM, on the other hand, manages the total life cycle of architectural design, construction or process through digital technology. Based on CiteSpace and VOSviewer tools, this paper answers the following key questions: 1) What is the current status of AI-BIM integration and what is its future development trend? 2) How is AI-BIM applied in the actual management of the construction industry? 3) What are the latest advancements in the research on AI-BIM integration? 4) What are the future application trends of purpose AI and BIM in the construction industry? This article provides a reference for understanding the current plan status about AI-BIM integration via a totally perfect bibliometric study and looks forward to the future of research directions.