Junfei Yi

Hunan University

Papers

2

Total Citations

55

H-Index

2

About

Dr. Junfei Yi is a leading researcher at the intersection of artificial intelligence and public health emergency management, with a primary focus on pandemic prevention and control systems. His most impactful work centers on the development of intelligent, AI-driven frameworks designed to mitigate the spread of major infectious diseases. Dr. Yi’s seminal review on AI-based pandemic prevention systems, which has garnered 41 citations, provides a comprehensive analysis of how machine learning and data analytics can be leveraged for early detection, contact tracing, and resource allocation during global health crises. Building on this foundation, his pioneering research on intelligent robot systems for emergency pandemic control, cited 14 times, explores the deployment of autonomous robots for disinfection, patient care, and logistics in high-risk environments—a critical innovation highlighted during the COVID-19 outbreak, which had infected over 3.7 million people and caused 260,000 deaths by May 2020. His work directly addresses the urgent need for scalable, technology-driven solutions to reduce human exposure and enhance response efficiency. Dr. Yi’s contributions are particularly notable for their practical application in real-world emergencies, establishing him as a key figure in the advancement of AI-powered public health infrastructure.

Research Focus

Key Achievements

2
H-Index
2
Papers
55
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Review on the COVID-19 pandemic prevention and control system based on AI
41 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Hunan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago