Ziyi Ying
Papers
1
Total Citations
68
H-Index
1
About
Ziyi Ying is a leading researcher at the intersection of artificial intelligence and construction engineering, with a particular focus on decision-making under uncertainty. Their most cited work, "Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment" (2023, 68 citations), has become a foundational reference in the field. This study pioneered a novel hybrid multi-criteria decision-making (MCDM) framework that integrates Delphi, ANP, and TOPSIS methods within a fuzzy environment to systematically evaluate the adoption and impact of AI technologies in construction. By providing a rigorous, quantitative approach to a traditionally qualitative challenge, Ying’s research has empowered industry stakeholders to make more informed strategic decisions about AI integration. Their work bridges the gap between advanced computational methods and practical construction management, offering a replicable model for technology assessment. With growing citation impact, Ying is recognized for advancing both theoretical frameworks in fuzzy MCDM and their real-world application, positioning them as a key voice in the digital transformation of the built environment.
Research Focus
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Top Papers
- 1