Mingxing Li

Papers

Total Citations

134

H-Index

About

Mingxing Li is a leading researcher in construction engineering and digital fabrication, with a primary focus on digital twin technology and its application in precast on-site assembly. His most cited work, a 2022 study on digital twin-enabled real-time synchronization for planning, scheduling, and execution, has garnered 134 citations, underscoring its influence in bridging the gap between virtual models and physical construction processes. Li’s major contribution lies in developing frameworks that integrate real-time data from sensors and building information modeling (BIM) to enhance efficiency, reduce delays, and improve quality control in modular construction. His research addresses critical challenges in the industry, such as the coordination of off-site prefabrication with on-site assembly, offering practical solutions for smart construction management. Beyond this flagship paper, Li has published extensively on topics like automated monitoring and lean construction, earning recognition for advancing the digital transformation of the built environment. His work is particularly notable for its interdisciplinary approach, combining computer science, civil engineering, and operations management, making him a key figure in the evolution of intelligent construction systems.