Jun Shi

2.0k citations
68 papers · 1.5k · 1 hit paper · h-index 17

Impact in

Papers in

Jun Shi

62 papers receiving 1.5k citations

Jun Shi's Hit Papers

HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation 2020 · 597 citations
5970+2+4Years since publication100200300400500

Peers

Jun Shi
Comparison fields: 5 of 106
  • Aerospace Engineering 865
  • Computer Vision and Pattern Recognition 500
  • Media Technology 137
  • Oceanography 156
  • Ocean Engineering 184
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Qiwu Luo China
Zenghui Zhang China
Ronghui Zhan China
Lingjun Zhao China
Gongliu Yang China
Changhui Jiang China
Ying Zhu China
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Citations per field
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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 68 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 →
2020597
2 2010122
3 2016108
4 201994
5 201173
6 201744
7 202040
8 201338
9 202038
10 201436
11 202035
12 202320
13 201920
14 202319
15 202018
16 201617
17 200516
18 201615
19 202012
20 200311

About Jun Shi

Jun Shi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Biomedical Engineering, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (20 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Microwave Imaging and Scattering Analysis (11 papers), Digital Media Forensic Detection (9 papers), Advanced Neural Network Applications (4 papers), Wireless Signal Modulation Classification (4 papers) and Radar Systems and Signal Processing (4 papers). The work is most often cited by research in Aerospace Engineering (865 citations), Computer Vision and Pattern Recognition (500 citations), Media Technology (137 citations), Oceanography (156 citations) and Ocean Engineering (184 citations). Jun Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shunjun Wei, Mou Wang, Qizhe Qu, Hao Su, Xiangfeng Zeng, Xiaoling Zhang, J.S. Zhang, Wangtu Huo, Longgang Hou and Yue Wu. Their work appears in journals such as Electromagnetic waves, Remote Sensing, IEEE Access, Artificial intelligence for engineering design analysis and manufacturing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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