Yujia Zhai

Papers

Total Citations

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About

Yujia Zhai is a researcher at the forefront of innovation analytics and technology intelligence, with a primary focus on patent-based technology roadmapping and the evolutionary analysis of emerging engineering systems. Her most significant contribution lies in developing an integrated framework that combines hierarchical Latent Dirichlet Allocation (LDA) modeling with multiphase technology lifecycle theory, enabling systematic mapping of technological evolution through patent analytics. This methodological innovation, showcased in her 2025 study on AI-powered manipulators, provides a rigorous, data-driven approach to inform strategic innovation decisions. By analyzing patent data within the B25J classification, Zhai’s work offers a novel lens for understanding how artificial intelligence is reshaping robotic manipulation technologies. Though early in her citation impact, her research has already garnered attention for its practical relevance to industry and policymakers. Zhai’s contributions are particularly valuable for students and researchers seeking to bridge the gap between patent informatics and strategic technology management, positioning her as an emerging voice in the field of innovation forecasting and technology roadmapping.