Zaidao Wen

908 total citations
37 papers, 699 citations indexed

About

Zaidao Wen is a scholar working on Aerospace Engineering, Media Technology and Ocean Engineering. According to data from OpenAlex, Zaidao Wen has authored 37 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 12 papers in Media Technology and 10 papers in Ocean Engineering. Recurrent topics in Zaidao Wen's work include Advanced SAR Imaging Techniques (20 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (19 papers) and Remote-Sensing Image Classification (10 papers). Zaidao Wen is often cited by papers focused on Advanced SAR Imaging Techniques (20 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (19 papers) and Remote-Sensing Image Classification (10 papers). Zaidao Wen collaborates with scholars based in China, United States and Montenegro. Zaidao Wen's co-authors include Licheng Jiao, Biao Hou, Zhunga Liu, Quan Pan, Shuai Zhang, Jiawei Chen, Sijian Li, Yafei Lv, Jiaxiang Liu and Shuang Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Remote Sensing.

In The Last Decade

Zaidao Wen

34 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaidao Wen China 15 285 227 195 150 132 37 699
Zhixin Zhou China 16 164 0.6× 243 1.1× 86 0.4× 173 1.2× 101 0.8× 49 599
Weibo Huo China 15 619 2.2× 134 0.6× 98 0.5× 74 0.5× 104 0.8× 80 795
Kun Sun China 18 242 0.8× 594 2.6× 96 0.5× 133 0.9× 131 1.0× 54 905
G.J. Owirka United States 14 892 3.1× 229 1.0× 174 0.9× 193 1.3× 87 0.7× 30 1.0k
S. Z. Li China 5 105 0.4× 655 2.9× 70 0.4× 198 1.3× 210 1.6× 8 993
W.W. Irving United States 10 330 1.2× 177 0.8× 40 0.2× 103 0.7× 93 0.7× 20 539
Dimitris Tzikas Greece 6 152 0.5× 162 0.7× 210 1.1× 57 0.4× 302 2.3× 9 868
Xue Jiang China 22 495 1.7× 246 1.1× 326 1.7× 83 0.6× 143 1.1× 107 1.2k
M.D. Desai United States 12 253 0.9× 253 1.1× 59 0.3× 114 0.8× 45 0.3× 19 670
Penghui Wang China 17 644 2.3× 116 0.5× 86 0.4× 47 0.3× 198 1.5× 83 975

Countries citing papers authored by Zaidao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Zaidao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaidao Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zaidao Wen. A scholar is included among the top collaborators of Zaidao Wen 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 Zaidao Wen. Zaidao Wen 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.
Hu, Gang, et al.. (2024). CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification. IEEE Transactions on Multimedia. 27. 2112–2126.
2.
Wen, Zaidao, et al.. (2024). Cross-Modality Vessel Re-Identification With Deep Alignment Decomposition Network. IEEE Transactions on Multimedia. 26. 10318–10330. 1 indexed citations
3.
Wen, Zaidao, et al.. (2024). Class Hierarchy Aware Contrastive Feature Learning for Multigranularity SAR Target Recognition. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 7962–7977. 2 indexed citations
4.
Liu, Zhunga, et al.. (2023). View-Semantic Transformer With Enhancing Diversity for Sparse-View SAR Target Recognition. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 4 indexed citations
5.
Wen, Zaidao, et al.. (2023). Constructivism-Inspired Meta-Knowledge Learning and Reuse. 80. 2492–2497.
6.
Wen, Zaidao, et al.. (2022). Infrared Small-Sample Target Recognition With Content-focused Domain Adaption Network. 32. 5890–5894. 1 indexed citations
7.
Liu, Zhunga, et al.. (2022). Multilevel Scattering Center and Deep Feature Fusion Learning Framework for SAR Target Recognition. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 52 indexed citations
8.
Wen, Zaidao, et al.. (2021). A Statistical-Spatial Feature Learning Network for PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
9.
Hou, Biao, et al.. (2020). Structure Label Matrix Completion for PolSAR Image Classification. Remote Sensing. 12(3). 459–459. 1 indexed citations
10.
Hou, Biao, et al.. (2020). Cost-Sensitive Latent Space Learning for Imbalanced PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 4802–4817. 18 indexed citations
11.
Hou, Biao, et al.. (2020). A Distribution and Structure Match Generative Adversarial Network for SAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(6). 3864–3880. 36 indexed citations
12.
Wen, Zaidao, et al.. (2019). Polar-Spatial Feature Fusion Learning With Variational Generative-Discriminative Network for PolSAR Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(11). 8914–8927. 29 indexed citations
13.
Wen, Zaidao, et al.. (2018). Discriminative Feature Learning for Real-Time SAR Automatic Target Recognition With the Nonlinear Analysis Cosparse Model. IEEE Geoscience and Remote Sensing Letters. 15(7). 1045–1049. 12 indexed citations
14.
Hou, Biao, et al.. (2018). Patch-Sorted Deep Feature Learning for High Resolution SAR Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(9). 3113–3126. 30 indexed citations
15.
Hou, Biao, et al.. (2018). Structural-Correlated Self-Examples Based Superresolution of Single Remote Sensing Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(9). 3209–3223. 3 indexed citations
16.
Hou, Biao, et al.. (2018). Variational Learning of Mixture Wishart Model for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 141–154. 18 indexed citations
17.
Ren, Bo, Biao Hou, Zaidao Wen, Wen Xie, & Licheng Jiao. (2018). PolSAR image classification via multimodal sparse representation-based feature fusion. International Journal of Remote Sensing. 39(22). 7861–7880. 9 indexed citations
18.
Wen, Zaidao, et al.. (2017). Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering. IEEE Transactions on Cybernetics. 48(8). 2218–2231. 7 indexed citations
19.
Hou, Biao, et al.. (2017). Robust Semisupervised Classification for PolSAR Image With Noisy Labels. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6440–6455. 23 indexed citations
20.
Chen, Jiawei, Licheng Jiao, & Zaidao Wen. (2016). High-Level Feature Selection With Dictionary Learning for Unsupervised SAR Imagery Terrain Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(1). 145–160. 17 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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