Huanlai Xing
Papers
1
Total Citations
13
H-Index
1
About
Dr. Huanlai Xing is a prominent researcher whose work bridges cutting-edge artificial intelligence and critical public health challenges. His key research areas include deep learning, medical image analysis, and intelligent diagnostic systems. Dr. Xing made a significant contribution to the fight against the COVID-19 pandemic through his highly cited 2023 paper, "Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives," which has already garnered 13 citations. This comprehensive review synthesizes the latest AI-driven methods for rapid and accurate virus detection, highlighting both the transformative potential and the hurdles facing these technologies. By systematically analyzing deep learning models, imaging techniques, and data fusion approaches, Dr. Xing provides a crucial roadmap for researchers and clinicians. His work not only advances the field of biomedical engineering but also demonstrates a clear commitment to translating complex computational methods into practical, life-saving tools. Dr. Xing’s research continues to shape how emerging technologies can be harnessed for global health security.
Research Focus
Key Achievements
Top Papers
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