Bo Du

30.6k total citations · 24 hit papers
603 papers, 22.3k citations indexed

About

Bo Du is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Bo Du has authored 603 papers receiving a total of 22.3k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Computer Vision and Pattern Recognition, 256 papers in Media Technology and 187 papers in Artificial Intelligence. Recurrent topics in Bo Du's work include Remote-Sensing Image Classification (238 papers), Remote Sensing and Land Use (148 papers) and Domain Adaptation and Few-Shot Learning (76 papers). Bo Du is often cited by papers focused on Remote-Sensing Image Classification (238 papers), Remote Sensing and Land Use (148 papers) and Domain Adaptation and Few-Shot Learning (76 papers). Bo Du collaborates with scholars based in China, Australia and United States. Bo Du's co-authors include Liangpei Zhang, Lefei Zhang, Dacheng Tao, Chen Wu, Fan Zhang, Liangpei Zhang, Yonghao Xu, Yuxiang Zhang, Mang Ye and Zengmao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.

In The Last Decade

Bo Du

557 papers receiving 21.9k citations

Hit Papers

Deep Learning for Remote Sensing Data: A Technical Tutori... 2014 2026 2018 2022 2016 2014 2019 2015 2015 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
    2016 1.7k citations Liangpei Zhang, Lefei Zhang et al. profile →
  2. Saliency-Guided Unsupervised Feature Learning for Scene Classification
    2014 462 citations Fan Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  3. Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
    2019 411 citations Sheng Wan, Chen Gong et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  4. A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection
    2015 393 citations Yuxiang Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  5. Scene Classification via a Gradient Boosting Random Convolutional Network Framework
    2015 359 citations Fan Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  6. Stacked Convolutional Denoising Auto-Encoders for Feature Representation
    2016 330 citations Bo Du, Lefei Zhang et al. profile →
  7. Recurrent Feature Reasoning for Image Inpainting
    2020 295 citations Lefei Zhang, Bo Du et al. profile →
  8. Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
    2019 277 citations Bo Du, Liangpei Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  9. Spectral-Spatial Unified Networks for Hyperspectral Image Classification
    2018 272 citations Liangpei Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  10. Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image
    2018 271 citations Fulin Luo, Bo Du et al. profile →
  11. Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
    2019 255 citations Bo Du, Liangpei Zhang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
  12. Channel Augmented Joint Learning for Visible-Infrared Recognition
    2021 219 citations Mang Ye, Weijian Ruan et al. profile →
  13. Heterogeneous Federated Learning: State-of-the-art and Research Challenges
    2023 203 citations Mang Ye, Bo Du et al. profile →
  14. Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model
    2022 189 citations Jing Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  15. Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images
    2021 172 citations Bo Du, Liangpei Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  16. An Empirical Study of Remote Sensing Pretraining
    2022 166 citations Jing Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  17. Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
    2022 160 citations Bo Du et al. profile →
  18. Learn from Others and Be Yourself in Heterogeneous Federated Learning
    2022 155 citations Wenke Huang, Mang Ye et al. profile →
  19. An enhanced hybrid arithmetic optimization algorithm for engineering applications
    2022 131 citations Bo Du et al. profile →
  20. Fully Convolutional Change Detection Framework With Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection
    2023 126 citations Bo Du, Liangpei Zhang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  21. MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification
    2024 121 citations Yong Luo, Lefei Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  22. ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning
    2024 74 citations Bo Du et al. profile →
  23. Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
    2024 56 citations Wenke Huang, Mang Ye et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  24. MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining
    2024 52 citations Jing Zhang, Bo Du et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bo Du China 79 11.8k 8.8k 6.0k 5.3k 1.9k 603 22.3k
Wei Li China 73 13.2k 1.1× 7.3k 0.8× 6.3k 1.0× 3.4k 0.6× 1.5k 0.8× 723 20.6k
Jun Li China 68 12.5k 1.1× 5.5k 0.6× 7.2k 1.2× 2.4k 0.5× 1.9k 1.0× 737 19.9k
Pedram Ghamisi Germany 69 11.9k 1.0× 4.9k 0.6× 6.9k 1.1× 3.0k 0.6× 2.4k 1.3× 270 18.5k
Maoguo Gong China 69 6.0k 0.5× 5.0k 0.6× 3.3k 0.5× 6.8k 1.3× 1.6k 0.8× 605 19.0k
Danfeng Hong China 59 10.2k 0.9× 5.7k 0.6× 4.0k 0.7× 2.2k 0.4× 1.4k 0.7× 247 15.3k
Xiuping Jia Australia 62 11.9k 1.0× 5.1k 0.6× 6.7k 1.1× 2.2k 0.4× 3.2k 1.7× 351 17.7k
Qian Du United States 90 25.2k 2.1× 10.7k 1.2× 12.7k 2.1× 4.9k 0.9× 3.2k 1.7× 734 32.8k
Shutao Li China 78 18.2k 1.5× 12.7k 1.4× 5.6k 0.9× 3.6k 0.7× 1.0k 0.5× 430 26.6k
Junwei Han China 85 9.2k 0.8× 19.2k 2.2× 2.2k 0.4× 5.3k 1.0× 974 0.5× 497 28.8k
Xiao Xiang Zhu Germany 68 8.1k 0.7× 4.9k 0.6× 4.0k 0.7× 2.2k 0.4× 2.1k 1.1× 554 17.9k

Countries citing papers authored by Bo Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bo Du

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Du. A scholar is included among the top collaborators of Bo Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bo Du. Bo Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Xiuqing & Bo Du. (2025). Uniqueness of weak solutions to one-dimensional doubly degenerate cross-diffusion system. Applied Mathematics Letters. 166. 109521–109521. 1 indexed citations
2.
Zheng, Heliang, Chaoyue Wang, Yong Luo, et al.. (2025). PartSeg: Few-shot part segmentation via part-aware prompt learning. Pattern Recognition. 162. 111326–111326.
3.
4.
Luo, Fulin, et al.. (2025). SCMVC: Semantic Constraint-Based Spatial–Spectral Multiview Clustering for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
5.
Du, Bo, et al.. (2024). Hyperspectral image compression based on multiple priors. Journal of the Franklin Institute. 361(14). 107056–107056. 1 indexed citations
6.
Zhu, Dehui, Ping Zhong, Bo Du, & Liangpei Zhang. (2024). Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection. Neural Networks. 178. 106416–106416. 7 indexed citations
7.
Wang, Qijun, Yong Liu, Yanni Dong, et al.. (2024). Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification. Swarm and Evolutionary Computation. 90. 101665–101665. 4 indexed citations
8.
Dong, Wenhui, Bo Du, & Yongchao Xu. (2024). Shape-intensity-guided U-net for medical image segmentation. Neurocomputing. 610. 128534–128534. 8 indexed citations
9.
Wang, Zengmao, Bo Du, Shiwei Zhao, et al.. (2024). Temporal Uplift Modeling for Online Marketing. 6247–6256. 1 indexed citations
10.
Wang, Yunke, et al.. (2024). Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks. 181. 106809–106809. 6 indexed citations
11.
Ye, Mang, et al.. (2024). Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding. IEEE Transactions on Image Processing. 33. 2627–2638. 1 indexed citations
12.
Chen, Hao, Tao Chen, Yuxiang Zhang, Bo Du, & Antonio Plaza. (2024). DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15746–15760. 2 indexed citations
13.
14.
Du, Bo, et al.. (2023). Remote Sensing Image Compression Based on the Multiple Prior Information. Remote Sensing. 15(8). 2211–2211. 13 indexed citations
15.
Chen, Cuiqun, Mang Ye, Meibin Qi, & Bo Du. (2023). SketchTrans: Disentangled Prototype Learning With Transformer for Sketch-Photo Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2950–2964. 17 indexed citations
16.
Si, Lingyu, Hongwei Dong, Wenwen Qiang, et al.. (2023). A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 2 indexed citations
17.
Wang, Qijun, et al.. (2023). Unsupervised Hyperspectral Band Selection via Structure-Conserved and Neighborhood-Grouped Evolutionary Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–19. 1 indexed citations
18.
Wan, Sheng, Chen Gong, Ping Zhong, et al.. (2019). Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3162–3177. 411 indexed citations breakdown →
19.
Zhang, Fan, et al.. (2015). Hierarchical feature learning with dropout k-means for hyperspectral image classification. Neurocomputing. 187. 75–82. 39 indexed citations
20.

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.

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