Junren Shi

5.0k citations
228 papers · 3.7k · 2 hit papers · h-index 29

Impact in

Papers in

Junren Shi

209 papers receiving 3.7k citations

Hit Papers

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification 2021 · 160 citations
1600+1+3Years since publication100200300400

Peers

Junren Shi
Comparison fields: 5 of 111
  • Aerospace Engineering 2.5k
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 363
  • Oceanography 485
  • Instrumentation 112
Replace Shunjun Wei with:
Shunjun Wei China
Bo Chen China
Yulin Huang China
Lan Du China
Ram M. Narayanan United States
S. Negahdaripour United States
Yvan Pétillot United Kingdom
Feng Zhou China
Jun Liu China
Junren Shi relative to Shunjun Wei China Shunjun Wei's profile →
Citations per field
00.5×1.7×
Shunjun Wei · 1×
Citations per year

Countries citing papers authored by Junren Shi

Since Specialization
Citations

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

Fields of papers citing papers by Junren Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junren 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 Junren Shi Line = papers co-authored together Junren Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
Hit paper breakdown →
2021416
2 2020211
3 2019165
4
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
Hit paper breakdown →
2021160
5 2020132
6 2021122
7 2020121
8 2020116
9 202098
10 202174
11 202073
12 202173
13 202072
14 201364
15 202260
16 201958
17 202157
18 200756
19 202148
20 201338

About Junren Shi

Junren Shi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics and Artificial Intelligence, having authored 228 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (140 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (82 papers), Microwave Imaging and Scattering Analysis (49 papers), Sparse and Compressive Sensing Techniques (39 papers), Advanced Neural Network Applications (28 papers), Robotics and Sensor-Based Localization (20 papers), Radar Systems and Signal Processing (18 papers) and Geophysical Methods and Applications (17 papers). The work is most often cited by research in Aerospace Engineering (2.5k citations), Computer Vision and Pattern Recognition (1.4k citations), Media Technology (363 citations), Oceanography (485 citations) and Instrumentation (112 citations). Junren Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoling Zhang, Shunjun Wei, Tianwen Zhang, Hao Su, Xu Zhan, Chen Wang, Jiadian Liang, Jianwei Li, Yue Zhou and Mou Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Remote Sensing Letters, IEEE Geoscience and Remote Sensing Letters and IEEE Antennas and Wireless Propagation Letters.

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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