Jun Shi

2.0k citations
66 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

Jun Shi

61 papers receiving 1.4k citations

Hit Papers

HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation 2020 · 562 citations
5620+2+4Years since publication100200300400500

Peers

Jun Shi
Comparison fields: 5 of 105
  • Aerospace Engineering 844
  • Computer Vision and Pattern Recognition 477
  • Media Technology 132
  • Oceanography 148
  • Ocean Engineering 180
Replace Jiaming Sun with:
Jiaming Sun China
Hao Su China
Bin Zou China
Jin Zhao China
Gerard Dooly Ireland
Hongjian Wang China
Miao Kang China
Jun Shi relative to Jiaming Sun China Jiaming Sun's profile →
Citations per field
00.5×10×15×20×25×
Jiaming Sun · 1×
Citations per year

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Shi Line = papers co-authored together Jun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
Hit paper breakdown →
2020562
2 2010120
3 2016105
4 201987
5 201172
6 202041
7 201338
8 202038
9 201436
10 201736
11 202034
12 201920
13 202318
14 201617
15 202017
16 202316
17 201615
18 202111
19 202011
20 20219

About Jun Shi

Jun Shi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Artificial Intelligence, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (21 papers), Microwave Imaging and Scattering Analysis (12 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Digital Media Forensic Detection (8 papers), Radar Systems and Signal Processing (4 papers), Wireless Signal Modulation Classification (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Aerospace Engineering (844 citations), Computer Vision and Pattern Recognition (477 citations), Media Technology (132 citations), Oceanography (148 citations) and Ocean Engineering (180 citations). Jun Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shunjun Wei, Mou Wang, Qizhe Qu, Hao Su, Xiangfeng Zeng, Xiaoling Zhang, Wangtu Huo, J.S. Zhang, Longgang Hou and Yue Wu. Their work appears in journals such as Electromagnetic waves, IEEE Access, Remote Sensing, The International Journal of Advanced Manufacturing Technology and IEEE Transactions on Magnetics.

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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