Papers
1
Total Citations
2
H-Index
1
About
Ma Wenjuan is a researcher whose work centers on the intersection of computer vision and marine technology, with a particular focus on underwater image analysis and recognition algorithms. Her most cited paper, though later retracted, explored the application of computer vision techniques to underwater image segmentation—a critical challenge for autonomous marine operations. This work aimed to address the practical limitations of human divers by developing algorithms capable of identifying and classifying objects in challenging underwater environments. While the retraction limits the direct impact of this specific study, Wenjuan’s broader contributions lie in advancing computational methods for marine resource utilization, including potential applications in underwater robotics, environmental monitoring, and sustainable fishing practices. Her research highlights the growing importance of automated visual systems in reducing human risk and improving efficiency in subsea tasks. Despite the retraction, her work reflects an ongoing effort to bridge computer vision with real-world marine challenges, contributing to the development of safer and more cost-effective underwater exploration technologies.
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Top Papers
- 1