Xiangguang Leng

3.0k total citations · 5 hit papers
56 papers, 2.5k citations indexed

About

Xiangguang Leng is a scholar working on Aerospace Engineering, Oceanography and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangguang Leng has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Aerospace Engineering, 15 papers in Oceanography and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangguang Leng's work include Advanced SAR Imaging Techniques (39 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (38 papers) and Underwater Acoustics Research (12 papers). Xiangguang Leng is often cited by papers focused on Advanced SAR Imaging Techniques (39 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (38 papers) and Underwater Acoustics Research (12 papers). Xiangguang Leng collaborates with scholars based in China and Finland. Xiangguang Leng's co-authors include Kefeng Ji, Zhao Lin, Gangyao Kuang, Miao Kang, Zhongzhen Sun, Boli Xiong, Huanxin Zou, Xiangwei Xing, Huanxin Zou and Shilin Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Xiangguang Leng

56 papers receiving 2.5k citations

Hit Papers

Squeeze and Excitation Rank Faster R-CNN for Ship Detecti... 2017 2026 2020 2023 2018 2017 2021 2021 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangguang Leng China 20 1.9k 1.2k 524 523 380 56 2.5k
Hao Su China 17 1.5k 0.8× 1.3k 1.1× 331 0.6× 427 0.8× 289 0.8× 39 2.3k
Zongyong Cui China 21 1.2k 0.7× 850 0.7× 366 0.7× 251 0.5× 248 0.7× 95 1.9k
Zongxu Pan China 24 1.2k 0.6× 978 0.8× 397 0.8× 219 0.4× 739 1.9× 79 2.2k
Bin Lei China 21 1.0k 0.5× 719 0.6× 364 0.7× 219 0.4× 559 1.5× 97 2.1k
Gui Gao China 25 1.7k 0.9× 616 0.5× 256 0.5× 449 0.9× 447 1.2× 123 2.3k
Jianwei Li China 13 1.3k 0.7× 1.0k 0.8× 268 0.5× 413 0.8× 199 0.5× 38 1.8k
Kefeng Ji China 32 2.9k 1.5× 1.6k 1.3× 887 1.7× 775 1.5× 776 2.0× 150 4.1k
Deliang Xiang China 29 1.3k 0.7× 751 0.6× 324 0.6× 181 0.3× 731 1.9× 107 2.1k
Boli Xiong China 17 919 0.5× 719 0.6× 226 0.4× 201 0.4× 365 1.0× 65 1.5k
Lingjun Zhao China 19 844 0.4× 793 0.7× 208 0.4× 148 0.3× 364 1.0× 68 1.6k

Countries citing papers authored by Xiangguang Leng

Since Specialization
Citations

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

Fields of papers citing papers by Xiangguang Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangguang Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangguang Leng. A scholar is included among the top collaborators of Xiangguang Leng 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 Xiangguang Leng. Xiangguang Leng 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.
Leng, Xiangguang, et al.. (2024). Lightweight Ship Detection Network for SAR Range-Compressed Domain. Remote Sensing. 16(17). 3284–3284. 7 indexed citations
2.
Leng, Xiangguang, et al.. (2024). A ship detection method based on YOLOv7 in range-compressed SAR data. IET conference proceedings.. 2023(47). 948–952. 2 indexed citations
3.
Leng, Xiangguang, et al.. (2024). RCShip: A Dataset Dedicated to Ship Detection in Range-Compressed SAR Data. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 16 indexed citations
4.
Zhang, Linbin, Xiangguang Leng, Sijia Feng, et al.. (2023). Azimuth-Aware Discriminative Representation Learning for Semi-Supervised Few-Shot SAR Vehicle Recognition. Remote Sensing. 15(2). 331–331. 20 indexed citations
5.
Leng, Xiangguang, et al.. (2023). Refocusing Swing Ships in SAR Imagery Based on Spatial-Variant Defocusing Property. Remote Sensing. 15(12). 3159–3159. 6 indexed citations
6.
Lei, Yu, Xiangguang Leng, Zhongzhen Sun, & Kefeng Ji. (2022). Construction and Recognition Performance Analysis of Wide-swath SAR Maritime Large Moving Ships Dataset. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Xiong, Boli, Zhongzhen Sun, Jin Wang, Xiangguang Leng, & Kefeng Ji. (2022). A Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images. Remote Sensing. 14(23). 6053–6053. 44 indexed citations
8.
Zhang, Linbin, Xiangguang Leng, Sijia Feng, et al.. (2021). Domain Knowledge Powered Two-Stream Deep Network for Few-Shot SAR Vehicle Recognition. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 87 indexed citations
9.
Yu, Lei, Xiangguang Leng, & Kefeng Ji. (2021). Marine Ship Target Detection in SAR Image Based on Google Earth Engine. 8574–8577. 3 indexed citations
10.
Leng, Xiangguang, Kefeng Ji, Boli Xiong, & Gangyao Kuang. (2021). Complex Signal Kurtosis—Indicator of Ship Target Signature in SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 9 indexed citations
11.
Leng, Xiangguang, et al.. (2020). Sea-land Segmentation Method for SAR Images Based on Improved BiSeNet. SHILAP Revista de lepidopterología. 14 indexed citations
12.
Leng, Xiangguang, et al.. (2020). Statistical Modeling Methods of Single-channel Complex-valued SAR Images for Ship Detection. SHILAP Revista de lepidopterología. 9(3). 477–496. 1 indexed citations
13.
Lin, Zhao, Kefeng Ji, Xiangguang Leng, & Gangyao Kuang. (2018). Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters. 16(5). 751–755. 331 indexed citations breakdown →
14.
Lin, Zhao, Kefeng Ji, Miao Kang, Xiangguang Leng, & Huanxin Zou. (2017). Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data. IEEE Geoscience and Remote Sensing Letters. 14(7). 1091–1095. 194 indexed citations
15.
Ji, Kefeng, Xiangguang Leng, Haibo Wang, Shilin Zhou, & Huanxin Zou. (2017). Ship detection using weighted SVM and M-CHI decomposition in compact polarimetric SAR imagery. 890–893. 9 indexed citations
16.
Leng, Xiangguang, Kefeng Ji, Shilin Zhou, & Huanxin Zou. (2017). Noncircularity parameters and their potential in ship detection from high resolution SAR imagery. 1876–1879. 16 indexed citations
17.
Leng, Xiangguang, et al.. (2016). Spaceborne Compact Polarimetric Synthetic Aperture Radar for Ship Detection. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Ji, Kefeng, et al.. (2016). An land masking algorithm for ship detection in SAR images. 925–928. 5 indexed citations
19.
Leng, Xiangguang, et al.. (2016). A novel adaptive ship detection method for spaceborne SAR imagery. 108–111. 3 indexed citations
20.
Leng, Xiangguang, Kefeng Ji, Kai Yang, & Huanxin Zou. (2015). A Bilateral CFAR Algorithm for Ship Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters. 12(7). 1536–1540. 209 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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