Bocai Wu

501 total citations
19 papers, 363 citations indexed

About

Bocai Wu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Bocai Wu has authored 19 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Bocai Wu's work include Advanced SAR Imaging Techniques (10 papers), Advanced Neural Network Applications (9 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Bocai Wu is often cited by papers focused on Advanced SAR Imaging Techniques (10 papers), Advanced Neural Network Applications (9 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Bocai Wu collaborates with scholars based in China, Brazil and United States. Bocai Wu's co-authors include Jie Chen, Zhixiang Huang, Long Sun, Huiyao Wan, Mengdao Xing, Zheng Zhou, Jianming Lv, Yingsong Li, Yunjiang Feng and Paulo S. R. Diniz and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.

In The Last Decade

Bocai Wu

18 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bocai Wu China 10 242 165 69 54 50 19 363
Long Sun China 10 241 1.0× 188 1.1× 59 0.9× 56 1.0× 35 0.7× 22 363
Navid Nourani‐Vatani Australia 12 192 0.8× 211 1.3× 22 0.3× 21 0.4× 30 0.6× 22 339
Zilu Ying China 11 80 0.3× 284 1.7× 22 0.3× 53 1.0× 37 0.7× 46 413
Katherine A. Skinner United States 11 105 0.4× 162 1.0× 29 0.4× 13 0.2× 47 0.9× 32 272
Tianyou Chen China 9 68 0.3× 228 1.4× 33 0.5× 18 0.3× 23 0.5× 25 319
Jiamei Fu China 5 282 1.2× 239 1.4× 48 0.7× 67 1.2× 47 0.9× 10 415
Georg Kuschk Germany 10 172 0.7× 191 1.2× 8 0.1× 32 0.6× 87 1.7× 18 337
Jixiang Sun China 10 140 0.6× 79 0.5× 54 0.8× 23 0.4× 43 0.9× 31 275
Kan Jin China 7 153 0.6× 223 1.4× 28 0.4× 47 0.9× 30 0.6× 9 430
Jayakorn Vongkulbhisal United States 11 70 0.3× 81 0.5× 9 0.1× 49 0.9× 30 0.6× 17 274

Countries citing papers authored by Bocai Wu

Since Specialization
Citations

This map shows the geographic impact of Bocai Wu'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 Bocai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bocai Wu more than expected).

Fields of papers citing papers by Bocai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bocai Wu. 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 Bocai Wu. The network helps show where Bocai Wu may publish in the future.

Co-authorship network of co-authors of Bocai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bocai Wu. A scholar is included among the top collaborators of Bocai Wu 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 Bocai Wu. Bocai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Xu, Kai, et al.. (2025). Uncertainty-informed prototype contrastive learning for cross-scene hyperspectral image classification. Knowledge-Based Systems. 311. 113165–113165. 1 indexed citations
2.
Wan, Huiyao, Jie Chen, Hongcheng Zeng, et al.. (2025). An automatic pruning method for SAR target detection based on multitask reinforcement learning. International Journal of Applied Earth Observation and Geoinformation. 140. 104553–104553.
3.
Chen, Yunjie, et al.. (2025). AJANet: SAR Ship Detection Network Based on Adaptive Channel Attention and Large Separable Kernel Adaptation. Remote Sensing. 17(10). 1745–1745. 2 indexed citations
4.
Chen, Jie, Huiyao Wan, Yice Cao, et al.. (2025). Few-Shot Object Detection for SAR Images via Context-Aware and Robust Gaussian Flow Representation. Remote Sensing. 17(3). 391–391. 1 indexed citations
5.
Chen, Jie, et al.. (2024). Unsupervised Domain-Adaptive SAR Ship Detection Based on Cross-Domain Feature Interaction and Data Contribution Balance. Remote Sensing. 16(2). 420–420. 9 indexed citations
6.
Xü, Kai, Zhu Zhou, Wenxin Wang, et al.. (2024). Enhancing Remote Sensing Scene Classification With Hy-MSDA: A Hybrid CNN–Transformer for Multisource Domain Adaptation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
7.
Xü, Kai, et al.. (2024). TransGA-Net: Integration Transformer With Gradient-Aware Feature Aggregation for Accurate Cloud Detection in Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 6 indexed citations
8.
Chen, Jie, Huiyao Wan, Zheng Zhou, et al.. (2024). SARGap: A Full-Link General Decoupling Automatic Pruning Algorithm for Deep Learning-Based SAR Target Detectors. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 7 indexed citations
9.
Chen, Jie, Huiyao Wan, Zheng Zhou, et al.. (2023). SARNas: A Hardware-Aware SAR Target Detection Algorithm via Multiobjective Neural Architecture Search. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–23. 12 indexed citations
10.
Wan, Huiyao, Jie Chen, Zhixiang Huang, et al.. (2023). Orientation Detector for Ship Targets in SAR Images Based on Semantic Flow Feature Alignment and Gaussian Label Matching. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 17 indexed citations
11.
Zhou, Zheng, Jie Chen, Zhixiang Huang, et al.. (2023). HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–22. 41 indexed citations
12.
Xü, Kai, et al.. (2022). Geometric Auto-Calibration of SAR Images Utilizing Constraints of Symmetric Geometry. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
13.
Wang, Haitao, Jie Chen, Zhixiang Huang, et al.. (2022). FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer. IEEE Transactions on Intelligent Transportation Systems. 1–15. 23 indexed citations
14.
Chen, Jie, Zhixiang Huang, Huiyao Wan, et al.. (2022). CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection. Remote Sensing. 14(6). 1488–1488. 110 indexed citations
15.
Feng, Yunjiang, Jie Chen, Zhixiang Huang, et al.. (2022). A Lightweight Position-Enhanced Anchor-Free Algorithm for SAR Ship Detection. Remote Sensing. 14(8). 1908–1908. 53 indexed citations
16.
Lv, Jianming, Jie Chen, Zhixiang Huang, et al.. (2022). An Anchor-Free Detection Algorithm for SAR Ship Targets with Deep Saliency Representation. Remote Sensing. 15(1). 103–103. 14 indexed citations
17.
Zhou, Zheng, Jie Chen, Zhixiang Huang, et al.. (2022). FSODS: A Lightweight Metalearning Method for Few-Shot Object Detection on SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 29 indexed citations
18.
Chen, Jie, Yanan Jiang, Zhixiang Huang, et al.. (2021). Fine-Grained Detection of Driver Distraction Based on Neural Architecture Search. IEEE Transactions on Intelligent Transportation Systems. 22(9). 5783–5801. 26 indexed citations

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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