Xiaohan Shen

Papers

Total Citations

138

H-Index

About

Xiaohan Shen is a leading researcher at the intersection of digital construction, Building Information Modeling (BIM), and emerging convergence technologies. Their most influential work, "BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction" (2023, 138 citations), critically examines how the construction industry—historically resistant to innovation—was forced to accelerate digital adoption under the pressures of the COVID-19 pandemic. Shen demonstrates how once-farfetched concepts like remote operations, robotics, and digital twins are now becoming essential tools for resilient, efficient project delivery. By framing these technologies as a unified convergence rather than isolated tools, Shen provides a roadmap for transforming fragmented construction workflows into integrated, data-driven ecosystems. This work has become a foundational reference for researchers and practitioners exploring smart construction, digital transformation, and post-pandemic infrastructure resilience. Shen’s contributions are shaping how the next generation of civil engineers and construction managers approach automation, real-time monitoring, and collaborative digital environments.