The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bo Du sits on this spectrum.
This scientist: 384 publications — 85th percentile
85% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bo Du sits on this spectrum.
This scientist: 84 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Bo Du is a researcher affiliated with Wuhan University in China, with a substantial body of work spanning computer science and engineering. Their research primarily focuses on computer vision and pattern recognition as well as artificial intelligence. They have a notable presence in media technology, atmospheric science, and medical imaging related to radiology, nuclear medicine, and imaging.
Bo Du's research interests include topics such as remote-sensing image classification, domain adaptation and few-shot learning, remote sensing and land use, advanced image and video retrieval techniques, advanced neural network applications, advanced image fusion techniques, and advanced graph neural networks. These areas reflect a broad engagement with both theoretical and applied aspects of computer vision and machine learning.
The researcher has published extensively in various reputable venues, with frequent publications in:
Bo Du has collaborated with multiple coauthors on numerous publications. Their frequent collaborators include Liangpei Zhang, Dacheng Tao, Mang Ye, Chen Wu, and Juhua Liu. These collaborations likely contribute to their interdisciplinary approach within computer vision and remote sensing domains.
Among Bo Du's recent papers are:
Bo Du's work contributes broadly to advancing methodologies in remote sensing image classification and the integration of machine learning techniques into geoscience and multimedia technologies. Their research includes significant developments in federated learning, semantic segmentation, hyperspectral image classification, and joint learning approaches for visible-infrared recognition.
Liangpei Zhang;Lefei Zhang;Bo Du
Fan Zhang;Bo Du;Liangpei Zhang
Sheng Wan;Chen Gong;Ping Zhong;Bo Du
Bo Du;Lixiang Ru;Chen Wu;Liangpei Zhang
Yuxiang Zhang;Bo Du;Liangpei Zhang;Shugen Wang
Fan Zhang;Bo Du;Liangpei Zhang
Bo Du;Wei Xiong;Jia Wu;Lefei Zhang
Jingyuan Li;Ning Wang;Lefei Zhang;Bo Du
Liangchen Song;Cheng Wang;Lefei Zhang;Bo Du
Chen Wu;Bo Du;Liangpei Zhang
Bo Du;Liangpei Zhang
Hongruixuan Chen;Chen Wu;Bo Du;Liangpei Zhang
Yonghao Xu;Liangpei Zhang;Bo Du;Fan Zhang
Yonghao Xu;Bo Du;Liangpei Zhang;Daniele Cerra
Lefei Zhang;Qian Zhang;Liangpei Zhang;Dacheng Tao
Fulin Luo;Bo Du;Liangpei Zhang;Lefei Zhang
Bo Du;Liangpei Zhang
Fan Zhang;Bo Du;Liangpei Zhang;Miaozhong Xu
Chen Wu;Bo Du;Xiaohui Cui;Liangpei Zhang
Lefei Zhang;Qian Zhang;Bo Du;Xin Huang
Lefei Zhang;Liangpei Zhang;Bo Du;Jane You
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