Papers
1
Total Citations
2
H-Index
1
About
Zexin Yang is a rising researcher at the forefront of digital construction and building information modeling (BIM), with a primary focus on automating the scan-to-BIM pipeline. His work bridges mobile perception and 3D building modeling, aiming to transform how indoor environments are captured and reconstructed for architectural and engineering applications. Yang’s most-cited paper, “Indoor scan-to-BIM automation: From mobile perception to 3D building modelling” (2025), has already garnered 2 citations—a promising start for a young scholar. This contribution addresses a critical bottleneck in the AEC industry: the labor-intensive process of converting raw point cloud data into intelligent BIM models. By integrating mobile sensing technologies with automated modeling algorithms, Yang’s research promises to accelerate digital twin creation, reduce manual error, and enable real-time building analysis. His work is particularly notable for its potential to democratize BIM access for smaller firms and retrofit projects. As an emerging voice in construction informatics, Zexin Yang is laying the groundwork for a future where buildings are not just constructed, but continuously digitized and optimized.
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Top Papers
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