Yong Jin
Papers
1
Total Citations
10
H-Index
1
About
Yong Jin is a researcher whose work lies at the intersection of smart healthcare, sustainable technology, and intelligent surveillance systems. His key research areas include the development of transferable learning frameworks and drone-assisted networks for robust regional disease monitoring. In his most-cited paper, "Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare" (2020, 10 citations), Jin addresses critical challenges in deploying sensors and collecting data for disease surveillance in remote or resource-limited areas. He proposes a novel approach that integrates transfer learning with drone-assisted communication to enhance sustainability and robustness, overcoming limitations in device deployment and data reliability. This work contributes to the broader field of smart healthcare, where telemedicine and disease tracking are increasingly vital. By focusing on practical, scalable solutions, Jin's research has the potential to improve public health responses in underserved regions. His work is particularly notable for bridging the gap between advanced machine learning techniques and real-world healthcare infrastructure constraints, offering a pathway toward more resilient and adaptive health monitoring systems.
Research Focus
Key Achievements
Top Papers
- 1