Honglei Wei

Papers

Total Citations

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About

Honglei Wei is a researcher at the forefront of applying deep learning to aquaculture and underwater robotics. His work centers on computer vision and object detection, with a particular focus on developing intelligent monitoring and automated harvesting systems for marine environments. Wei’s major contributions include pioneering multi-target tracking algorithms for aquaculture monitoring, achieving 37 citations for his 2023 work that enhances real-time surveillance of aquatic species. He also advanced underwater sea cucumber identification by improving the YOLOv5 architecture, a method cited 28 times, which enables precise recognition and localization essential for autonomous collection robots. This research directly addresses challenges in marine resource management, combining machine vision with deep learning to boost efficiency in underwater operations. Wei’s notable achievements include demonstrating how tailored neural networks can overcome issues like low visibility and complex backgrounds in aquatic settings. With a growing citation impact, his work is shaping the future of smart aquaculture, offering scalable solutions for sustainable seafood production and marine robotics.