Bo Du
- Media Technology top 0.01%
- Remote-Sensing Image Classification 238
- Advanced Image Fusion Techniques 61
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques 72
- Advanced Neural Network Applications 49
- Video Surveillance and Tracking Methods 45
- Atmospheric Science top 0.2%
- Remote Sensing and Land Use 148
- Computational Mathematics top 0.5%
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning 76
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- Infrared Target Detection Methodologies 37
- Co-authors
- Liangpei ZhangLefei ZhangDacheng TaoChen WuFan ZhangYonghao XuYuxiang ZhangMang Ye
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (92 papers)IEEE Transactions on Image Processing (33 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (30 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bo Du
557 papers receiving 21.9k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Media Technology 11.8k
- Computer Vision and Pattern Recognition 8.8k
- Atmospheric Science 6.0k
- Computational Mathematics 176
- Artificial Intelligence 5.3k
Countries citing papers authored by Bo Du
This map shows the geographic impact of Bo Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bo Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Du more than expected).
Fields of papers citing papers by Bo Du
This network shows the impact of papers produced by Bo Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bo Du. The network helps show where Bo Du may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 46 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 2 |
About Bo Du
Bo Du is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 603 papers that have together received 22.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (238 papers), Remote Sensing and Land Use (148 papers), Domain Adaptation and Few-Shot Learning (76 papers), Advanced Image and Video Retrieval Techniques (72 papers), Advanced Image Fusion Techniques (61 papers), Advanced Neural Network Applications (49 papers), Video Surveillance and Tracking Methods (45 papers) and Infrared Target Detection Methodologies (37 papers). The work is most often cited by research in Media Technology (11.8k citations), Computer Vision and Pattern Recognition (8.8k citations) and Atmospheric Science (6.0k citations). Bo Du has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liangpei Zhang, Lefei Zhang, Dacheng Tao, Chen Wu, Fan Zhang, Liangpei Zhang, Yonghao Xu, Yuxiang Zhang, Mang Ye and Zengmao Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Neural Networks and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.