Bo Du
Impact in
- Media Technology top 0.01%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
Papers in
-
- Advanced Image and Video Retrieval Techniques 72
- Advanced Neural Network Applications 50
- Video Surveillance and Tracking Methods 46
- Media Technology 259
- Remote-Sensing Image Classification 241
- Advanced Image Fusion Techniques 62
- Co-authors
- Liangpei Zhang (162 shared papers)Lefei Zhang (96 shared papers)Dacheng Tao (75 shared papers)Chen Wu (50 shared papers)Fan Zhang (7 shared papers)Liangpei Zhang (12 shared papers)Yonghao Xu (17 shared papers)Mang Ye (39 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (92 papers)IEEE Transactions on Image Processing (34 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (30 papers)Neural Networks (19 papers)Neurocomputing (18 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bo Du
598 papers receiving 23.6k citations
Bo Du's Hit Papers
Peers
Comparison fields: 5 of 187
- Media Technology 12.2k
- Computer Vision and Pattern Recognition 9.5k
- Atmospheric Science 6.2k
- Computational Mathematics 188
- Artificial Intelligence 5.8k
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-authors
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
Showing the 20 most-cited of 633 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art Hit paper breakdown → | 2016 | 1769 |
| 2 | Saliency-Guided Unsupervised Feature Learning for Scene Classification Hit paper breakdown → | 2014 | 480 |
| 3 | Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification Hit paper breakdown → | 2019 | 433 |
| 4 | A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection Hit paper breakdown → | 2015 | 408 |
| 5 | Scene Classification via a Gradient Boosting Random Convolutional Network Framework Hit paper breakdown → | 2015 | 376 |
| 6 | Stacked Convolutional Denoising Auto-Encoders for Feature Representation Hit paper breakdown → | 2016 | 342 |
| 7 | Recurrent Feature Reasoning for Image Inpainting Hit paper breakdown → | 2020 | 332 |
| 8 | Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network Hit paper breakdown → | 2019 | 283 |
| 9 | Spectral-Spatial Unified Networks for Hyperspectral Image Classification Hit paper breakdown → | 2018 | 282 |
| 10 | 2013 | 280 | |
| 11 | 2018 | 275 | |
| 12 | Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest Hit paper breakdown → | 2019 | 263 |
| 13 | 2010 | 249 | |
| 14 | 2014 | 247 | |
| 15 | Heterogeneous Federated Learning: State-of-the-art and Research Challenges Hit paper breakdown → | 2023 | 245 |
| 16 | Channel Augmented Joint Learning for Visible-Infrared Recognition Hit paper breakdown → | 2021 | 241 |
| 17 | 2017 | 237 | |
| 18 | 2016 | 229 | |
| 19 | 2016 | 222 | |
| 20 | 2019 | 216 |
About Bo Du
Bo Du is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science and Aerospace Engineering, having authored 633 papers that have together received 24.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (241 papers), Remote Sensing and Land Use (152 papers), Domain Adaptation and Few-Shot Learning (79 papers), Advanced Image and Video Retrieval Techniques (72 papers), Advanced Image Fusion Techniques (62 papers), Advanced Neural Network Applications (50 papers), Video Surveillance and Tracking Methods (46 papers) and Infrared Target Detection Methodologies (37 papers). The work is most often cited by research in Media Technology (12.2k citations), Computer Vision and Pattern Recognition (9.5k citations), Atmospheric Science (6.2k citations), Computational Mathematics (188 citations) and Artificial Intelligence (5.8k 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, Mang Ye, Yuxiang Zhang 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.