I‐Chien Wu
Papers
1
Total Citations
9
H-Index
1
About
I-Chien Wu 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 to transform long-term care for older populations. Her most cited work, a comprehensive 2025 study integrating bibliometric, Google Trends, and content analyses, systematically maps how these converging technologies address critical challenges in aging societies—including workforce shortages and rising healthcare costs. This foundational paper has already garnered 9 citations, signaling its rapid influence in shaping smart aging solutions. Wu’s contributions extend beyond technical frameworks; she provides actionable insights for deploying AI-driven monitoring, IoT-enabled environments, and edge-based real-time decision support in care settings. Her research is notable for its interdisciplinary rigor, combining data science with gerontology to produce evidence-based strategies that enhance quality of life while reducing system burdens. By bridging cutting-edge computational methods with pressing societal needs, Wu is establishing herself as a key voice in the future of technology-enabled elder care, making her work essential reading for students and researchers in health informatics, assistive technology, and aging studies.
Research Focus
Key Achievements
Top Papers
- 1