Yongsheng Yin
Papers
1
Total Citations
68
H-Index
1
About
Yongsheng Yin is a leading researcher at the intersection of artificial intelligence, construction engineering, and multi-criteria decision-making (MCDM). His work focuses on integrating advanced computational methods to solve complex, real-world problems in the built environment. Yin’s most cited paper, “Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment” (2023), has already garnered 68 citations, highlighting its timely impact. In this seminal study, he developed a novel hybrid framework that combines Delphi, Analytic Network Process (ANP), and TOPSIS techniques within a fuzzy environment to systematically evaluate and prioritize AI technologies for construction applications. This work provides a robust, data-driven roadmap for industry adoption of AI, addressing uncertainty and stakeholder preferences. Yin’s contributions are pivotal for researchers and practitioners seeking to modernize construction processes through intelligent automation. His innovative methodological synthesis not only advances theoretical decision science but also offers practical tools for enhancing efficiency, safety, and sustainability in one of the world’s largest industries.
Research Focus
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Top Papers
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