Tsung-En Yang
Papers
1
Total Citations
9
H-Index
1
About
Tsung-En Yang is a forward-looking researcher at the intersection of gerontechnology and digital health, specializing in the integration of artificial intelligence (AI), the Internet of Things (IoT), and edge intelligence (EI) to transform long-term care for aging populations. His most cited work, a comprehensive 2025 study, employs bibliometric analysis, Google Trends, and content analysis to map the global landscape of smart care technologies, revealing how AI-driven monitoring and IoT-enabled systems can address workforce shortages and rising healthcare costs. With 9 citations already, this paper highlights his ability to synthesize complex, interdisciplinary data into actionable insights for policymakers and practitioners. Yang’s contributions are pivotal in demonstrating how edge intelligence—processing data locally rather than in the cloud—can enhance real-time, privacy-preserving care for older adults. His research not only identifies current trends but also charts a roadmap for future innovation, making him a key voice in the movement toward scalable, tech-enabled elder care. For students and researchers, Yang’s work exemplifies how computational methods can tackle pressing societal challenges, bridging the gap between cutting-edge technology and human-centered healthcare.
Research Focus
Key Achievements
Top Papers
- 1