Papers

4

Total Citations

69

H-Index

3

About

Guan-Yu Lin is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and healthcare innovation. Their work focuses on understanding the behavioral and technological factors that drive adoption of AI-powered systems in critical care settings. Lin’s most impactful contribution, a 2022 study on AI-healthcare innovation using natural language processing-based patent analysis (37 citations), provides a technology-driven roadmap for the industry, identifying key commercialized products and promising future technologies. This foundational work is complemented by a highly cited 2023 study (23 citations) exploring the factors affecting parental intention to use AI-based social robots for children’s English as a Second Language (ESL) learning, revealing critical drivers for educational technology adoption. Lin has also advanced the field of gerontechnology with research on family caregivers’ behavioral intention to use socially assistive AI robots for elderly home care (6 citations), addressing the growing need to mitigate caregiver burden. Through these studies, Lin has established themselves as a key voice in smart healthcare innovation, bridging technical feasibility with real-world user acceptance to shape the future of AI-assisted care.

Research Focus

Key Achievements

3
H-Index
4
Papers
69
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Exploring AI-healthcare innovation: natural language processing-based patents analysis for technology-driven roadmapping
37 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Chung Cheng University, National Changhua University of Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago