Papers
1
Total Citations
64
H-Index
1
About
Jingyue Wu is a leading researcher at the intersection of artificial intelligence, speech processing, and healthcare technology. Their work focuses on developing intelligent speech systems that enhance human-computer interaction, particularly within clinical and smart hospital environments. Wu’s most-cited paper, "Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review" (2023, 64 citations), provides a comprehensive synthesis of how speech recognition and natural language processing can be leveraged for automated medical transcription, diagnostic support, and hands-free control of medical devices. This review has become a foundational reference for researchers exploring voice-enabled healthcare solutions. By bridging the gap between advanced speech AI and practical medical applications, Wu’s contributions are helping to shape the future of patient care, clinical workflow efficiency, and assistive technologies. Their work is particularly notable for its interdisciplinary approach, combining rigorous technical analysis with a clear vision for real-world deployment in smart hospitals.
Research Focus
Key Achievements
Top Papers
- 1