Yu-Ping Hsiao

National Health Research Institutes

Papers

1

Total Citations

9

H-Index

1

About

Yu-Ping Hsiao is a leading researcher at the intersection of gerontechnology and digital health, whose work is reshaping how we care for aging populations. Her primary research areas include artificial intelligence (AI), the Internet of Things (IoT), and edge intelligence, with a specific focus on their application in long-term care (LTC) for older adults. In her landmark 2025 study, Hsiao conducted a comprehensive analysis combining bibliometric, Google Trends, and content analysis to map the global integration of these technologies in LTC. This work, already garnering 9 citations, critically addresses pressing challenges such as workforce shortages and escalating healthcare costs by demonstrating how AI and IoT can enable smarter, more responsive care environments. Beyond this, Hsiao’s contributions lie in bridging the gap between cutting-edge computational methods and real-world geriatric needs, offering actionable frameworks for deploying edge intelligence to support aging populations. Her research is notable for its methodological rigor and its timely relevance, positioning her as a key voice in the movement toward technology-driven, dignified care for older people.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Content Analysis
9 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: National Health Research Institutes

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago