Papers
1
Total Citations
2
H-Index
1
About
Wenkai Xu is a leading researcher at the intersection of artificial intelligence and sustainable food systems, with a primary focus on smart aquaculture and multimodal machine learning. His most influential work, "From Traditional Machine Learning Models to Multimodal Large Models: A Review of Aquaculture," published in 2025, provides a comprehensive synthesis of how AI technologies are transforming the aquaculture industry. In this review, Xu systematically analyzes the limitations of traditional machine learning approaches—such as poor semantic understanding and scalability issues—and charts a path forward using multimodal large models that integrate vision, language, and sensor data. This work has already garnered early citations, reflecting its timely importance as global demand for smart aquaculture solutions grows. Xu’s contributions are particularly notable for bridging the gap between cutting-edge AI research and practical agricultural applications, offering both a critical assessment of current methods and a forward-looking framework for future innovation. His research holds significant promise for enhancing productivity, sustainability, and food security in one of the world’s fastest-growing food production sectors.
Research Focus
Key Achievements
Top Papers
- 1