Kefeng Ji

5.1k total citations · 7 hit papers
150 papers, 4.1k citations indexed

About

Kefeng Ji is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Kefeng Ji has authored 150 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Aerospace Engineering, 40 papers in Computer Vision and Pattern Recognition and 33 papers in Media Technology. Recurrent topics in Kefeng Ji's work include Advanced SAR Imaging Techniques (94 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (79 papers) and Underwater Acoustics Research (23 papers). Kefeng Ji is often cited by papers focused on Advanced SAR Imaging Techniques (94 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (79 papers) and Underwater Acoustics Research (23 papers). Kefeng Ji collaborates with scholars based in China, Finland and Czechia. Kefeng Ji's co-authors include Xiangguang Leng, Gangyao Kuang, Zhao Lin, Huanxin Zou, Miao Kang, Xiangwei Xing, Boli Xiong, Zhongzhen Sun, Huanxin Zou and Shilin Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kefeng Ji

139 papers receiving 4.0k citations

Hit Papers

Squeeze and Excitation Rank Faster R-CNN for Ship Detecti... 2017 2026 2020 2023 2018 2017 2021 2021 2024 100 200 300
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. Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images
    2018 331 citations Zhao Lin, Kefeng Ji et al. IEEE Geoscience and Remote Sensing Letters profile →
  2. Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection
    2017 290 citations Miao Kang, Kefeng Ji et al. Remote Sensing profile →
  3. BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images
    2021 218 citations Zhongzhen Sun, Xiangguang Leng et al. Remote Sensing profile →
  4. An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images
    2021 193 citations Zhongzhen Sun, Xiangguang Leng et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
  5. MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition
    2024 70 citations Xianghui Zhang, Sijia Feng et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
  6. Arbitrary-Direction SAR Ship Detection Method for Multiscale Imbalance
    2025 44 citations Zhongzhen Sun, Xiangguang Leng et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  7. Cross-Sensor SAR Image Target Detection Based on Dynamic Feature Discrimination and Center-Aware Calibration
    2025 38 citations Xianghui Zhang, Siqian Zhang et al. IEEE Transactions on Geoscience and 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
Kefeng Ji China 32 2.9k 1.6k 887 776 775 150 4.1k
Shunjun Wei China 32 3.0k 1.0× 1.7k 1.1× 599 0.7× 482 0.6× 611 0.8× 217 4.3k
Xiangguang Leng China 20 1.9k 0.6× 1.2k 0.8× 524 0.6× 380 0.5× 523 0.7× 56 2.5k
Gangyao Kuang China 42 3.3k 1.1× 2.6k 1.6× 973 1.1× 2.0k 2.6× 608 0.8× 277 6.6k
Zenghui Zhang China 28 1.2k 0.4× 820 0.5× 403 0.5× 468 0.6× 309 0.4× 165 2.8k
Zongxu Pan China 24 1.2k 0.4× 978 0.6× 397 0.4× 739 1.0× 219 0.3× 79 2.2k
Zongjie Cao China 24 1.5k 0.5× 909 0.6× 405 0.5× 348 0.4× 271 0.3× 136 2.4k
Deliang Xiang China 29 1.3k 0.4× 751 0.5× 324 0.4× 731 0.9× 181 0.2× 107 2.1k
Gui Gao China 25 1.7k 0.6× 616 0.4× 256 0.3× 447 0.6× 449 0.6× 123 2.3k
Florence Tupin France 32 2.5k 0.9× 2.3k 1.5× 1.0k 1.2× 2.0k 2.5× 224 0.3× 158 5.1k
Bin Lei China 21 1.0k 0.3× 719 0.5× 364 0.4× 559 0.7× 219 0.3× 97 2.1k

Countries citing papers authored by Kefeng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Kefeng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefeng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Kefeng Ji. A scholar is included among the top collaborators of Kefeng Ji 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 Kefeng Ji. Kefeng Ji 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.
Cao, Hao, Tao Feng, Kefeng Ji, et al.. (2025). Selecting the Right C18 Stationary Phase with Parallel Array Microfluidic Column Liquid Chromatography (palmLC). Analytical Chemistry. 97(21). 10972–10977.
2.
Sun, Yuli, et al.. (2025). SAR-TinySNN: A Lightweight Spiking Neural Network for SAR Target Recognition. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
3.
Zhang, Xianghui, Siqian Zhang, Zhongzhen Sun, et al.. (2025). Cross-Sensor SAR Image Target Detection Based on Dynamic Feature Discrimination and Center-Aware Calibration. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17. 38 indexed citations breakdown →
4.
5.
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
6.
Sun, Hao, Yanjie Xu, Jin Chen, et al.. (2023). Adversarial robustness evaluation of multiple-source remote sensing image recognition based on deep neural networks. National Remote Sensing Bulletin. 27(8). 1951–1963. 1 indexed citations
7.
Sun, Hao, et al.. (2023). Adversarial Robust Aerial Image Recognition Based on Reactive-Proactive Defense Framework with Deep Ensembles. Remote Sensing. 15(19). 4660–4660. 8 indexed citations
8.
Ma, Xiaojie, Kefeng Ji, Sijia Feng, et al.. (2023). Open Set Recognition With Incremental Learning for SAR Target Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 22 indexed citations
9.
Ma, Xiaojie, Kefeng Ji, Linbin Zhang, et al.. (2023). SAR Target Open-Set Recognition Based on Joint Training of Class-Specific Sub-Dictionary Learning. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 8 indexed citations
10.
Feng, Sijia, Kefeng Ji, Fulai Wang, et al.. (2023). PAN: Part Attention Network Integrating Electromagnetic Characteristics for Interpretable SAR Vehicle Target Recognition. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 52 indexed citations
11.
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
12.
Feng, Sijia, Kefeng Ji, Fulai Wang, et al.. (2022). Electromagnetic Scattering Feature (ESF) Module Embedded Network Based on ASC Model for Robust and Interpretable SAR ATR. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 58 indexed citations
13.
Sun, Hao, Jin Chen, Lin Lei, Kefeng Ji, & Gangyao Kuang. (2021). Adversarial Robustness of Deep Convolutional Neural Network-based Image Recognition Models: A Review. SHILAP Revista de lepidopterología. 8 indexed citations
14.
Feng, Sijia, Kefeng Ji, Linbin Zhang, Xiaojie Ma, & Gangyao Kuang. (2021). SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10213–10225. 59 indexed citations
15.
Feng, Sijia, Kefeng Ji, Xiaojie Ma, Linbin Zhang, & Gangyao Kuang. (2021). Target Region Segmentation in SAR Vehicle Chip Image With ACM Net. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
16.
Ma, Xiaojie, Kefeng Ji, Linbin Zhang, et al.. (2021). An Open Set Recognition Method for SAR Targets Based on Multitask Learning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 44 indexed citations
17.
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
18.
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 →
19.
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
20.
Xing, Xiangwei, Kefeng Ji, Huanxin Zou, & Jixiang Sun. (2014). Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle. The Scientific World JOURNAL. 2014. 1–10. 6 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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