Yu-Hui Wang

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Yu-Hui Wang is a leading researcher at the intersection of artificial intelligence and healthcare innovation, with a primary focus on technology roadmapping and patent analytics. Her most influential work, "Exploring AI-healthcare innovation: natural language processing-based patents analysis for technology-driven roadmapping" (2022, 37 citations), introduces a groundbreaking methodology that uses natural language processing to analyze patent landscapes, enabling researchers and industry leaders to identify emerging AI technologies poised for commercialization in healthcare. This contribution has been pivotal in bridging the gap between academic AI research and practical medical applications, offering a data-driven framework for predicting which technologies will transform patient care. Wang’s work is distinguished by its forward-looking approach, combining computational linguistics with strategic innovation management to map the future of AI in medicine. Her research has become essential reading for scholars and practitioners seeking to understand the trajectory of AI-healthcare integration, and her methodologies are increasingly adopted in technology forecasting studies worldwide.