Qizhi Li
Papers
1
Total Citations
3
H-Index
1
About
Qizhi Li is a forward-thinking researcher in the field of design innovation, with a primary focus on knowledge-driven product development and analogical reasoning. Their most notable contribution lies in advancing design-by-analogy (DbA) methodology through the integration of structured knowledge systems. In their highly cited 2025 work, "Knowledge graph-assisted design-by-analogy: promoting product innovation through structured analogical knowledge retrieval," Li introduced a novel framework that leverages knowledge graphs to systematically retrieve and apply cross-domain analogies, reducing reliance on designers’ intuition and experience. This work, already garnering 3 citations shortly after publication, marks a significant step toward automating and scaling creative design processes. By bridging artificial intelligence and engineering design, Li’s research offers practical tools for industries seeking to accelerate product innovation. Their work is particularly impactful for students and researchers exploring the intersection of computational creativity, knowledge engineering, and human-centered design, positioning Li as an emerging leader in the digital transformation of design practices.
Research Focus
Key Achievements
Top Papers
- 1