Xuehong Zhu

Papers

Total Citations

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About

Xuehong Zhu is a leading researcher in design theory and engineering innovation, with a primary focus on analogy-based design and knowledge representation. Her most cited work, "Analogical stimuli retrieval approach based on R-SBF ontology model" (2019, 24 citations), addresses a critical challenge in creative design: how to systematically retrieve and apply analogical knowledge to generate novel solutions. Zhu’s major contribution lies in developing the R-SBF (Representation-Structure-Behavior-Function) ontology model, which formalizes how design knowledge can be structured to enable effective analogical reasoning. This framework bridges the gap between abstract knowledge representation and practical retrieval of analogical stimuli, offering a computational approach to support innovative design processes. By tackling the foundational task of knowledge representation—the first and most crucial step in analogy implementation—Zhu’s work has provided a robust methodology for engineers and designers seeking to leverage past solutions for new problems. Her research is particularly impactful in fields requiring systematic innovation, such as product design and engineering systems, where her ontology model enhances both the efficiency and creativity of problem-solving. With her focus on making analogical design more rigorous and replicable, Zhu continues to influence how researchers and practitioners approach knowledge-driven innovation.