Lizhen Jia

Hebei University of Technology

Papers

1

Total Citations

24

H-Index

1

About

Dr. Lizhen Jia is a leading researcher in design cognition and computational creativity, with a primary focus on analogy-based design and knowledge representation. Her most influential work introduces the R-SBF ontology model, a novel framework that systematically structures knowledge to enable more effective analogical stimuli retrieval for innovative design. By formalizing how designers can retrieve and map analogical sources, Dr. Jia has addressed a critical bottleneck in creative problem-solving, bridging the gap between cognitive theory and practical design tools. Her 2019 paper on this approach has garnered 24 citations, establishing a foundation for subsequent studies in design automation and artificial intelligence. Dr. Jia’s contributions are particularly notable for advancing the understanding of how knowledge representation—the first and most essential step in analogy—can be optimized to enhance innovation. Her work is widely recognized in the design research community for its methodological rigor and practical implications, inspiring further exploration into computational models of analogical reasoning and their application in engineering and product design.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Analogical stimuli retrieval approach based on R-SBF ontology model
24 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hebei University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago