Ying‐Erh Chen
Papers
1
Total Citations
9
H-Index
1
About
Ying-Erh Chen is a leading researcher at the intersection of gerontechnology and digital health, with a primary focus on leveraging artificial intelligence (AI), the Internet of Things (IoT), and edge intelligence (EI) to transform long-term care (LTC) for older populations. Her most cited work, a comprehensive 2025 analysis combining bibliometric, Google Trends, and content analysis, systematically maps the integration of these technologies in LTC, addressing critical challenges like workforce shortages and rising healthcare costs. This seminal paper has already garnered 9 citations, underscoring its timely impact on the field. Chen’s contributions are notable for their methodological rigor—blending quantitative trend analysis with qualitative content review—to provide a holistic roadmap for deploying smart, decentralized care systems. Her research not only highlights the potential of AI-driven monitoring and IoT-enabled environments but also critically examines implementation barriers, offering actionable insights for policymakers and practitioners. By bridging cutting-edge technology with the pressing needs of an aging society, Chen is shaping the future of elder care, making her work essential reading for students and researchers in health informatics, gerontology, and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1