Lingjun Zhao

2.1k total citations
68 papers, 1.6k citations indexed

About

Lingjun Zhao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lingjun Zhao has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Aerospace Engineering, 28 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Lingjun Zhao's work include Advanced SAR Imaging Techniques (40 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Lingjun Zhao is often cited by papers focused on Advanced SAR Imaging Techniques (40 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Lingjun Zhao collaborates with scholars based in China, Finland and United States. Lingjun Zhao's co-authors include Gangyao Kuang, Li Liu, Yan Zhao, Boli Xiong, Gui Gao, Gongtao Shi, Paul Fieguth, Yunli Long, Deliang Xiang and Kefeng Ji and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Lingjun Zhao

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingjun Zhao China 19 844 793 364 226 208 68 1.6k
Boli Xiong China 17 919 1.1× 719 0.9× 365 1.0× 147 0.7× 226 1.1× 65 1.5k
Zongxu Pan China 24 1.2k 1.4× 978 1.2× 739 2.0× 292 1.3× 397 1.9× 79 2.2k
Deliang Xiang China 29 1.3k 1.5× 751 0.9× 731 2.0× 216 1.0× 324 1.6× 107 2.1k
Chu He China 18 460 0.5× 1.1k 1.4× 514 1.4× 153 0.7× 191 0.9× 93 1.7k
Yue Zhou China 17 989 1.2× 1.2k 1.5× 342 0.9× 221 1.0× 198 1.0× 59 2.0k
Hongjian You China 21 858 1.0× 983 1.2× 536 1.5× 118 0.5× 278 1.3× 102 1.7k
Xi Yang China 26 614 0.7× 1.6k 2.0× 395 1.1× 254 1.1× 163 0.8× 113 2.3k
Zongyong Cui China 21 1.2k 1.5× 850 1.1× 248 0.7× 371 1.6× 366 1.8× 95 1.9k

Countries citing papers authored by Lingjun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lingjun Zhao. A scholar is included among the top collaborators of Lingjun Zhao 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 Lingjun Zhao. Lingjun Zhao 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.
Wang, Li, et al.. (2025). Small Ship Detection in SAR Images Based on Asymmetric Feature Learning and Shallow Context Embedding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 28466–28479.
2.
Zhang, Siqian, et al.. (2025). Zero-Shot Domain Adaptation for SAR Target Recognition Based on Cooperative Learning of Domain Alignment and Task Alignment. IEEE Transactions on Radar Systems. 3. 890–904.
3.
Zhao, Lingjun, et al.. (2025). Simulation-aided similarity-aware feature alignment with meta-adaption optimization for SAR ATR under extended operation conditions. ISPRS Journal of Photogrammetry and Remote Sensing. 222. 1–15. 4 indexed citations
4.
Zhao, Lingjun, et al.. (2025). MTSGL: Multitask Structure Guided Learning for Robust and Interpretable Aircraft Recognition in SAR Images. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 12725–12741. 1 indexed citations
5.
Zhao, Lingjun, et al.. (2024). Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping. Computers & Security. 142. 103894–103894.
6.
Zhao, Lingjun, et al.. (2024). LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection. 18250–18257. 9 indexed citations
7.
Zhang, Siqian, et al.. (2024). Zero-Shot SAR Target Recognition Based on a Conditional Generative Network with Category Features from Simulated Images. Remote Sensing. 16(11). 1930–1930. 3 indexed citations
8.
Zhao, Yan, Lingjun Zhao, Siqian Zhang, et al.. (2024). Decoupled Self-Supervised Subspace Classifier for Few-Shot Class-Incremental SAR Target Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15845–15861. 7 indexed citations
9.
Zhao, Lingjun, et al.. (2024). Geospatial Contextual Prior-Enabled Knowledge Reasoning Framework for Fine-Grained Aircraft Detection in Panoramic SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 5 indexed citations
10.
Zhou, Zheng, Lingjun Zhao, Kefeng Ji, & Gangyao Kuang. (2024). A Domain-Adaptive Few-Shot SAR Ship Detection Algorithm Driven by the Latent Similarity Between Optical and SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 26 indexed citations
11.
Zhao, Yan, Lingjun Zhao, Siqian Zhang, Kefeng Ji, & Gangyao Kuang. (2024). Few-Shot Class-Incremental SAR Target Recognition via Decoupled Scattering Augmentation Classifier. 7584–7587. 1 indexed citations
12.
Zhao, Lingjun, et al.. (2021). Selected Pseudo-Labelling With Class Confusion Regularization For Semi-supervised SAR Target Recognition. 2021 CIE International Conference on Radar (Radar). 1427–1431. 1 indexed citations
13.
Zhao, Lingjun, et al.. (2021). SAR Target Recognition Based on Task-Driven Domain Adaptation Using Simulated Data. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 45 indexed citations
14.
Wang, Wei, et al.. (2019). A Site Model Based Change Detection Method for SAR Images. 738–742. 1 indexed citations
15.
Hu, Canbin, Boli Xiong, Jun Lü, et al.. (2014). SAR Azimuth ambiguities removal for ship detection using time-frequency techniques. 982–985. 6 indexed citations
16.
Wang, Na, Gongtao Shi, Li Liu, Lingjun Zhao, & Gangyao Kuang. (2012). Polarimetric SAR Target Detection Using the Reflection Symmetry. IEEE Geoscience and Remote Sensing Letters. 9(6). 1104–1108. 26 indexed citations
17.
Wang, Na, Li Liu, Lingjun Zhao, & Jun Lü. (2011). A novel polarimetric SAR ship detection method. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 3 indexed citations
18.
Zhao, Lingjun. (2011). Aspect estimation method for SAR target based on Radon transform of leading edge. Journal of Computer Applications. 1 indexed citations
19.
Chen, Qiang, Yongmei Jiang, Lingjun Zhao, Jun Lü, & Hong Ding. (2010). A scattering similarity based classification scheme for land applications of polarimetric SAR image. 1361–1364.
20.
Shi, Gongtao, Lingjun Zhao, Na Wang, et al.. (2009). A novel dual-SAR detector based on the joint metric of interferogram's magnitude and phase for slow ground moving targets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7471. 747128–747128. 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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