Xuesong Xu
Papers
1
Total Citations
37
H-Index
1
About
Xuesong Xu is a leading researcher at the intersection of product innovation design and knowledge engineering, with a primary focus on leveraging patent knowledge graphs to drive creative problem-solving. His most impactful work, "Product innovation design approach driven by implicit relationship completion via patent knowledge graph" (2024), has already garnered 37 citations, underscoring its immediate influence in the field. Xu’s major contribution lies in developing a novel methodology that mines hidden relationships within patent databases—using graph-based reasoning to uncover non-obvious connections between technologies, functions, and design parameters. This approach enables engineers and designers to systematically generate innovative product concepts by completing implicit links that traditional methods overlook. By bridging artificial intelligence with design theory, Xu has provided a scalable, data-driven framework that accelerates ideation while grounding it in existing technical knowledge. His work is particularly notable for its practical applicability, offering tools that reduce reliance on intuition alone and enhance reproducibility in innovation processes. Xu’s research continues to shape how patent intelligence is harnessed for competitive product development, making him a key figure in the evolving landscape of computational design and knowledge-based innovation.
Research Focus
Key Achievements
Top Papers
- 1