Juyang Bai
Papers
1
Total Citations
16
H-Index
1
About
Dr. Juyang Bai is a leading researcher at the intersection of marine biology and artificial intelligence, with a primary focus on deep learning applications for underwater image analysis and marine species classification. His most impactful work, "Fish Image Classification Using Deep Convolutional Neural Network" (2020, 16 citations), addresses the critical challenge of automating the identification of marine organisms from underwater imagery. This research is foundational for advancing studies on species composition and geographical distribution, directly supporting marine resource management and the conservation of rare marine life. By developing robust convolutional neural network architectures, Dr. Bai has enabled more efficient analysis of data collected by divers and underwater robots, reducing reliance on manual identification. His contributions are particularly valuable for large-scale ecological monitoring and biodiversity assessments. With a growing citation record, Dr. Bai’s work is increasingly recognized as essential reading for researchers combining computer vision with marine science, positioning him as a key innovator in applying AI to solve pressing environmental challenges.
Research Focus
Key Achievements
Top Papers
- 1Fish Image Classification Using Deep Convolutional Neural Network16 citations · 2020