Trend Analysis of AR-Assisted Assembly Visualization Design Based on Bibliometrics.

Lei Wu, Yufan Lin,Junfeng Wang

International Conference on Human-Computer Interaction(2024)

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Abstract
Based on the bibliometric method, this study systematically comprehended the global characteristics of the research on visualization design for AR-assisted assembly, investigated the current research hotspots and theoretical foundations of visualization design for AR-assisted assembly, and explored the new trends of future development. Taking the relevant literature collected by Web of Science as the data source, the VOSviewer scientific bibliometric method was comprehensively used to sort out and visualize the research lineage in terms of publication trends, high-frequency keywords, high-frequency areas, organizations, main publications, and highly cited papers. The conclusion of the study shows that in the research field of visualization design for AR-assisted assembly, China and the United States are tied for the first place in terms of the number of publications, Germany ranks second and Italy ranks third. The top three important research institutions are Northwestern Polytechnic University, National University of Singapore and University of Patras. The main research hotspots are augmented reality, design, system, assembly, visualization, maintenance, industry 4.0. In this paper, the research status, development trend, and research hotspots in the research field of visualization design for AR-assisted assembly are visualized and analyzed, which is of corresponding guiding significance to the related researchers.
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