Yue Zhou

2.9k total citations · 4 hit papers
59 papers, 2.0k citations indexed

About

Yue Zhou is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Yue Zhou has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Aerospace Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Yue Zhou's work include Advanced Neural Network Applications (13 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers) and Advanced SAR Imaging Techniques (8 papers). Yue Zhou is often cited by papers focused on Advanced Neural Network Applications (13 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers) and Advanced SAR Imaging Techniques (8 papers). Yue Zhou collaborates with scholars based in China, United States and Singapore. Yue Zhou's co-authors include Xue Yang, Junchi Yan, Hao Su, Jianwei Li, Junren Shi, Xiaoling Zhang, Shunjun Wei, Tianwen Zhang, Xu Zhan and Liping Hou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Applied Energy.

In The Last Decade

Yue Zhou

51 papers receiving 1.9k citations

Hit Papers

SAR Ship Detection Datase... 2021 2026 2022 2024 2021 2021 2022 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Zhou China 17 1.2k 989 342 283 221 59 2.0k
Hao Su China 17 1.3k 1.1× 1.5k 1.5× 289 0.8× 427 1.5× 315 1.4× 39 2.3k
Jianwei Li China 13 1.0k 0.9× 1.3k 1.3× 199 0.6× 413 1.5× 207 0.9× 38 1.8k
Zongyong Cui China 21 850 0.7× 1.2k 1.3× 248 0.7× 251 0.9× 371 1.7× 95 1.9k
Zongjie Cao China 24 909 0.8× 1.5k 1.6× 348 1.0× 271 1.0× 402 1.8× 136 2.4k
Xiangguang Leng China 20 1.2k 1.0× 1.9k 1.9× 380 1.1× 523 1.8× 228 1.0× 56 2.5k
Huanxin Zou China 20 1.0k 0.9× 920 0.9× 707 2.1× 204 0.7× 201 0.9× 84 2.0k
Bin Lei China 21 719 0.6× 1.0k 1.0× 559 1.6× 219 0.8× 273 1.2× 97 2.1k
Zongxu Pan China 24 978 0.8× 1.2k 1.2× 739 2.2× 219 0.8× 292 1.3× 79 2.2k
Lingjun Zhao China 19 793 0.7× 844 0.9× 364 1.1× 148 0.5× 226 1.0× 68 1.6k
Xi Yang China 26 1.6k 1.4× 614 0.6× 395 1.2× 106 0.4× 254 1.1× 113 2.3k

Countries citing papers authored by Yue Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yue Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Zhou. A scholar is included among the top collaborators of Yue Zhou 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 Yue Zhou. Yue Zhou 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.
2.
Zhang, Peiyuan, Xue Yang, Yi Yu, et al.. (2025). PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection. International Journal of Computer Vision. 133(9). 6108–6128. 2 indexed citations
3.
Zhou, Yue, et al.. (2025). SRP-CR: Semantic and Representational Priors for Diffusion-Based Cloud Removal. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 16292–16306.
4.
Jiang, Xue, et al.. (2024). Semi-Supervised Scene Classification for Optical Remote Sensing Images via Label and Embedding Consistency. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
5.
Wang, Shuo, et al.. (2024). Integrated analysis of plasma rotation effect on HL-3 hybrid scenario. Chinese Physics B. 33(8). 84703–84703.
6.
Jiang, Xue, et al.. (2024). Transformer-Based Incomplete Multi-Modal Learning for Land Cover Classification. 7276–7281. 2 indexed citations
7.
Zhou, Yue, et al.. (2024). PortLaneNet: A Scene-Aware Model for Robust Lane Detection in Container Terminal Environments. World Electric Vehicle Journal. 15(5). 176–176.
8.
Zhou, Yue, Xue Jiang, Lin Chen, & Xingzhao Liu. (2023). GRD: An Ultra-Lightweight SAR Ship Detector Based on Global Relationship Distillation. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations
9.
Jiang, Xue, et al.. (2023). Robust Land Cover Classification With Multimodal Knowledge Distillation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 10 indexed citations
10.
Zhou, Yue, et al.. (2023). CamoNet: A Target Camouflage Network for Remote Sensing Images Based on Adversarial Attack. Remote Sensing. 15(21). 5131–5131. 4 indexed citations
11.
Yang, Xue, et al.. (2022). Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–18. 68 indexed citations
12.
Zhou, Yue, Xue Jiang, Li Zhou, & Xingzhao Liu. (2022). Benchmark for Arbitrary-Oriented SAR Ship Detection. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1472–1475. 1 indexed citations
13.
Zhang, Tianwen, Xiaoling Zhang, Jianwei Li, et al.. (2021). SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis. Remote Sensing. 13(18). 3690–3690. 416 indexed citations breakdown →
14.
Zhang, Tianwen, Xiaoling Zhang, Xiao Ke, et al.. (2020). LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images. Remote Sensing. 12(18). 2997–2997. 211 indexed citations
15.
Zhang, Tianwen, Xiaoling Zhang, Junren Shi, et al.. (2020). Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 72 indexed citations
16.
Mao, Yuxing, et al.. (2020). Ship Detection for SAR Imagery Based on Deep Learning: A Benchmark. 1934–1940. 9 indexed citations
17.
Chen, Jiahao, et al.. (2019). One-hot encoding and convolutional neural network based anomaly detection. Journal of Tsinghua University(Science and Technology). 59(7). 523–529. 35 indexed citations
18.
Yang, Jie, et al.. (2012). Infrared small target detection based on image sparse representation. JOURNAL OF INFRARED AND MILLIMETER WAVES. 30(2). 156–161. 22 indexed citations
19.
Xiao, Gaobiao, et al.. (2011). Generalized Heat Transition Matrix for Arbitrarily Shaped Thermal Media and Its Applications to Steady-State Heat Conduction Problems in Large-Scale Systems. Numerical Heat Transfer Part B Fundamentals. 59(4). 319–338. 2 indexed citations
20.
Zhou, Yue, Gaobiao Xiao, & Junfa Mao. (2010). Generalized heat transition matrix for multi-domain electro-thermal analysis. Asia-Pacific Microwave Conference. 2164–2167. 1 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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