Abstract: BIM is advanced in 3D visualization and information coordination, which is being widely adopted in the whole life cycle of building projects. Point cloud data being generated from laser scanner has characteristics in high accuracies and contactless, which is being widely implemented in many areas such as smart cities, heritages protections, and infrastructure surveys. 3D laser scan-based BIM inverse modelling is a new tendency in the development of BIM technology.For objectively reflecting the current research on the BIM+3D scanning technique, this paper has used the visualization software CiteSpace to analyze 166 publication which are being included in the core collection of Web of Science in between 2011 and 2020. The results have shown that: researches are being focused on Model Reconstruction, Point Cloud Segmentation, Machine Learning, and etc.; the number of the publications are keep increasing in recent years; however, the research cooperation in this discipline is not enough; Heriot-Watt University and Poltecn Milan are the two institutions with have most publications; Bosche F. has most publication; United States and Spain are the two countries which have most publications, and then followed by China. The research focus is being transferred from point cloud editing process such as ICP algorithm and Delaunay triangulation method to specific scenario in project management. Meanwhile, research is also focusing on automatic recognition from machine learning to detect components and to manage the information. The problem of interoperability of BIM platform is still waiting to be addressed by researchers from worldwide.