Congan Xu

837 total citations · 1 hit paper
51 papers, 574 citations indexed

About

Congan Xu is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Congan Xu has authored 51 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 20 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Congan Xu's work include Advanced SAR Imaging Techniques (17 papers), Radar Systems and Signal Processing (8 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Congan Xu is often cited by papers focused on Advanced SAR Imaging Techniques (17 papers), Radar Systems and Signal Processing (8 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Congan Xu collaborates with scholars based in China, Germany and United Kingdom. Congan Xu's co-authors include Long Gao, Hang Su, Wenjun Yan, Jinping Sun, You He, Xiaohan Zhang, Yun Lin, Yafei Lv, Yiming Yan and Haiyang Wang 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

Congan Xu

46 papers receiving 557 citations

Hit Papers

Deep Learning for SAR Ship Detection: Past, Present and F... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for SAR Ship Detection: Past, Present and Future
    2022 134 citations Congan Xu, Long Gao et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congan Xu China 12 270 189 178 86 76 51 574
Bonhwa Ku South Korea 13 87 0.3× 199 1.1× 165 0.9× 52 0.6× 83 1.1× 64 504
Dongliang Peng China 10 144 0.5× 86 0.5× 136 0.8× 35 0.4× 37 0.5× 92 409
Haixia Bi China 11 196 0.7× 217 1.1× 79 0.4× 201 2.3× 61 0.8× 27 510
Hao Dong China 13 139 0.5× 140 0.7× 211 1.2× 92 1.1× 38 0.5× 27 585
Changwen Qu China 9 645 2.4× 413 2.2× 132 0.7× 81 0.9× 106 1.4× 45 852
Sijia Feng China 13 429 1.6× 127 0.7× 137 0.8× 52 0.6× 179 2.4× 18 604
Xiyan Sun China 12 112 0.4× 180 1.0× 76 0.4× 62 0.7× 21 0.3× 116 500
Alexander Miller Russia 14 264 1.0× 178 0.9× 144 0.8× 12 0.1× 91 1.2× 40 456
Qizhe Qu China 13 765 2.8× 380 2.0× 341 1.9× 87 1.0× 162 2.1× 22 1.1k

Countries citing papers authored by Congan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Congan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Congan Xu. A scholar is included among the top collaborators of Congan Xu 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 Congan Xu. Congan Xu 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.
Xu, Congan, et al.. (2025). CMShipReID: A Cross-Modality Ship Dataset for the Reidentification Task. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10503–10513.
2.
Li, Jianwei, et al.. (2024). A Lightweight SAR Ship Detector Based on Whole Process Collaborative Designing. IEEE Transactions on Aerospace and Electronic Systems. 1–15. 3 indexed citations
3.
Xu, Congan, Chunhui Zhao, Long Gao, et al.. (2024). Multimodal Object Detection of UAV Remote Sensing Based on Joint Representation Optimization and Specific Information Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12364–12373. 10 indexed citations
4.
Wang, Taoyang, et al.. (2024). Comparative analysis of SAR ship detection methods based on deep learning. IET conference proceedings.. 2023(47). 3918–3925. 2 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.
Yan, Yiming, et al.. (2024). A Third-Modality Collaborative Learning Approach for Visible-Infrared Vessel Reidentification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 19035–19047. 1 indexed citations
7.
Xu, Congan, Long Gao, Hang Su, et al.. (2023). Label Smoothing Auxiliary Classifier Generative Adversarial Network with Triplet Loss for SAR Ship Classification. Remote Sensing. 15(16). 4058–4058. 1 indexed citations
8.
Jian, Tao, et al.. (2023). Persymmetric adaptive detection of range-spread targets in subspace interference plus Gaussian clutter. Science China Information Sciences. 66(5). 3 indexed citations
9.
Zhao, Kai, Hongjiao Liu, Nan Su, et al.. (2023). TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking. Remote Sensing. 15(4). 1107–1107. 25 indexed citations
10.
Yan, Yiming, et al.. (2023). Building Extraction at Amodal-Instance- Segmentation Level: Datasets and Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 3 indexed citations
11.
Chen, Shuzhen, et al.. (2023). Privacy-Enhanced Decentralized Federated Learning at Dynamic Edge. IEEE Transactions on Computers. 72(8). 2165–2180. 21 indexed citations
12.
He, Jiayue, Nan Su, Congan Xu, et al.. (2023). A Cross-Modality Feature Transfer Method for Target Detection in SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 14 indexed citations
13.
Yan, Yiming, Zilu Wang, Congan Xu, & Nan Su. (2023). GEOP-Net: Shape Reconstruction of Buildings From LiDAR Point Clouds. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations
14.
Gao, Long, et al.. (2023). Flight data outlier detection by constrained LSTM-autoencoder. Wireless Networks. 29(7). 3051–3061. 4 indexed citations
15.
Xu, Congan, et al.. (2023). A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things. Future Internet. 15(5). 171–171. 9 indexed citations
16.
Tan, Kay Chen, Limin Zhang, Wenjun Yan, et al.. (2022). A Semi-supervised Emitter Identification Method for Imbalanced Category. SHILAP Revista de lepidopterología.
17.
Zhao, Wenda, Libo Yao, Yu Liu, et al.. (2022). Feature Balance for Fine-Grained Object Classification in Aerial Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 16 indexed citations
18.
Zhao, Wenda, et al.. (2022). Generalizable Crowd Counting via Diverse Context Style Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5399–5410. 11 indexed citations
19.
Xu, Congan, et al.. (2021). A Discriminative Feature Representation Method Based on Dual Attention Mechanism for Remote Sensing Image Scene Classification. 电子与信息学报. 43(3). 683–691. 4 indexed citations
20.
Liu, Zhunga, et al.. (2020). Research and Development on Applications of Convolutional Neural Networks of Radar Automatic Target Recognition. 电子与信息学报. 42(1). 119–131. 4 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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