Jiaqiu Ai

1.2k total citations
49 papers, 957 citations indexed

About

Jiaqiu Ai is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Jiaqiu Ai has authored 49 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Aerospace Engineering, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Media Technology. Recurrent topics in Jiaqiu Ai's work include Advanced SAR Imaging Techniques (25 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers) and Image and Signal Denoising Methods (10 papers). Jiaqiu Ai is often cited by papers focused on Advanced SAR Imaging Techniques (25 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers) and Image and Signal Denoising Methods (10 papers). Jiaqiu Ai collaborates with scholars based in China, United Kingdom and United States. Jiaqiu Ai's co-authors include Qiwu Luo, Lu Jia, Mengdao Xing, Yuxiang Mao, Bo Tang, Jing Jin, Xuezhi Yang, Fan Liu, Li Shi and Fang Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Jiaqiu Ai

46 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaqiu Ai China 16 640 308 182 166 139 49 957
Marc Jäger Germany 15 769 1.2× 252 0.8× 70 0.4× 180 1.1× 114 0.8× 61 1.2k
Xiangwei Xing China 17 704 1.1× 327 1.1× 216 1.2× 215 1.3× 226 1.6× 45 976
Huanxin Zou China 13 664 1.0× 324 1.1× 177 1.0× 210 1.3× 218 1.6× 41 965
Boli Xiong China 17 919 1.4× 719 2.3× 201 1.1× 365 2.2× 226 1.6× 65 1.5k
Xiaowo Xu China 12 686 1.1× 541 1.8× 229 1.3× 133 0.8× 155 1.1× 32 1.0k
Zhongling Huang China 12 543 0.8× 196 0.6× 140 0.8× 173 1.0× 257 1.8× 34 943
Zhao Lin China 4 741 1.2× 557 1.8× 193 1.1× 156 0.9× 248 1.8× 5 1.0k
Lingjun Zhao China 19 844 1.3× 793 2.6× 148 0.8× 364 2.2× 208 1.5× 68 1.6k
Tianjiao Zeng China 12 479 0.7× 431 1.4× 132 0.7× 139 0.8× 95 0.7× 53 836
Ronghui Zhan China 16 581 0.9× 349 1.1× 97 0.5× 181 1.1× 147 1.1× 70 1.0k

Countries citing papers authored by Jiaqiu Ai

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqiu Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqiu Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaqiu Ai. A scholar is included among the top collaborators of Jiaqiu Ai 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 Jiaqiu Ai. Jiaqiu Ai 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.
Ai, Jiaqiu, et al.. (2025). MU-Net: An Efficient Small Ship Detection Network Based on Multimodal Fusion With Unpaired SAR/AIS Data. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
2.
Zhu, Yanan, et al.. (2025). Cross-Modal Ship Detection From Optical to SAR Images Based on Pixel- and Feature-Level Progressive Transfer. IEEE Sensors Journal. 25(8). 13344–13356. 1 indexed citations
3.
Wang, Zhaocheng, et al.. (2024). CV-SAR-Det: Target Detection for SAR Images via Deep Complex-Valued Network. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 8226–8238. 1 indexed citations
4.
Zhu, Yanan, Jiaqiu Ai, Le Wu, et al.. (2024). An Active Multi-Target Domain Adaptation Strategy: Progressive Class Prototype Rectification. IEEE Transactions on Multimedia. 27. 1874–1886. 18 indexed citations
5.
Ai, Jiaqiu, Yanan Zhu, Shuo Zhuang, et al.. (2024). AIS-PVT: Long-Time AIS Data Assisted Pyramid Vision Transformer for Sea-Land Segmentation in Dual-Polarization SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 6 indexed citations
6.
Wang, Yujie, et al.. (2024). CSI-GLSTN: A Location-Independent CSI Human Activity Recognition Method Based on Spatio-Temporal and Channel Feature Fusion. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 8 indexed citations
7.
8.
Ai, Jiaqiu, et al.. (2023). MPGSE-D-LinkNet: Multiple-Parameters-Guided Squeeze-and-Excitation Integrated D-LinkNet for Road Extraction in Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 8 indexed citations
9.
Wang, Zhaocheng, Ruonan Wang, Jiaqiu Ai, Huanxin Zou, & Jun Li. (2023). Global and Local Context-Aware Ship Detector for High-Resolution SAR Images. IEEE Transactions on Aerospace and Electronic Systems. 59(4). 4159–4167. 21 indexed citations
10.
Ai, Jiaqiu, et al.. (2022). A Trilateral Filter for Video SAR Speckle Noise Reduction. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations
11.
Ai, Jiaqiu, Yuxiang Mao, Qiwu Luo, Lu Jia, & Mengdao Xing. (2021). SAR Target Classification Using the Multikernel-Size Feature Fusion-Based Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 91 indexed citations
12.
Jia, Lu, et al.. (2021). A Stacked Stereo Graph Convolutional Network for SAR Image Change Detection. 2021 CIE International Conference on Radar (Radar). 1344–1347. 2 indexed citations
13.
Ai, Jiaqiu, et al.. (2021). AIS Data Aided Rayleigh CFAR Ship Detection Algorithm of Multiple-Target Environment in SAR Images. IEEE Transactions on Aerospace and Electronic Systems. 58(2). 1266–1282. 31 indexed citations
14.
Ai, Jiaqiu, et al.. (2021). An Improved Bilateral CFAR Ship Detection Algorithm for SAR Image in Complex Environment. SHILAP Revista de lepidopterología. 11 indexed citations
15.
Ai, Jiaqiu, et al.. (2021). SAR image speckle noise suppression algorithm based on background homogeneity and bilateral filtering. National Remote Sensing Bulletin. 25(5). 1071–1084.
16.
Ai, Jiaqiu, Yuxiang Mao, Qiwu Luo, et al.. (2021). A Fine PolSAR Terrain Classification Algorithm Using the Texture Feature Fusion-Based Improved Convolutional Autoencoder. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 20 indexed citations
17.
Jia, Lu, et al.. (2020). A hierarchical spatial-temporal graph-kernel for high-resolution SAR image change detection. International Journal of Remote Sensing. 41(10). 3866–3885. 6 indexed citations
18.
Yang, Xuezhi, et al.. (2020). Region level SAR image classification using deep features and spatial constraints. ISPRS Journal of Photogrammetry and Remote Sensing. 163. 36–48. 23 indexed citations
19.
Ai, Jiaqiu, Ruiming Liu, Bo Tang, et al.. (2019). A Refined Bilateral Filtering Algorithm Based on Adaptively-Trimmed-Statistics for Speckle Reduction in SAR Imagery. IEEE Access. 7. 103443–103455. 16 indexed citations
20.
Ai, Jiaqiu, et al.. (2017). A Correlation-Based Joint CFAR Detector Using Adaptively-Truncated Statistics in SAR Imagery. Sensors. 17(4). 686–686. 15 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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