Ju Sun

6.3k citations
75 papers · 4.3k · 1 hit paper · h-index 21

Impact in

Papers in

Ju Sun

71 papers receiving 4.2k citations

Ju Sun's Hit Papers

Robust Recovery of Subspace Structures by Low-Rank Representation 2012 · 2.8k citations
2.8k0+4+9Years since publication50010001.5k2.0k2.5k

Peers

Ju Sun
Comparison fields: 5 of 144
  • Computational Mathematics 153
  • Computer Vision and Pattern Recognition 2.7k
  • Media Technology 977
  • Computational Mechanics 1.3k
  • Artificial Intelligence 1.2k
Replace Ehsan Elhamifar with:
Ehsan Elhamifar United States
Xiangchu Feng China
Francis Bach France
Guangcan Liu China
Huazhong Shu China
Hongtao Lu China
Chao Xu China
Sanjiv Kumar United States
Oleg Kuybeda United States
Gunnar Sparr Sweden
Ju Sun relative to Ehsan Elhamifar United States Ehsan Elhamifar's profile →
Citations per field
00.5×1.5×
Ehsan Elhamifar · 1×
Citations per year

Countries citing papers authored by Ju Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ju Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust Recovery of Subspace Structures by Low-Rank Representation
Hit paper breakdown →
20122838
2 2009282
3 2016127
4 2018121
5 2009110
6 201660
7 201657
8 201044
9 201043
10 200443
11 202240
12 201827
13 200525
14 202224
15 201924
16 202221
17 202321
18 202420
19 202320
20 202120

About Ju Sun

Ju Sun is a scholar working on Computer Vision and Pattern Recognition, Radiation, Computational Mechanics, Artificial Intelligence and Mechanics of Materials, having authored 75 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (12 papers), Sparse and Compressive Sensing Techniques (9 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Face and Expression Recognition (4 papers), Advanced Image Processing Techniques (4 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Computational Mathematics (153 citations), Computer Vision and Pattern Recognition (2.7k citations), Media Technology (977 citations), Computational Mechanics (1.3k citations) and Artificial Intelligence (1.2k citations). Ju Sun has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Shuicheng Yan, Zhouchen Lin, Guangcan Liu, Yong Yu, Yi Ma, John Wright, Qing Qu, Loong‐Fah Cheong, Tat‐Seng Chua and Jintao Li. Their work appears in journals such as Neurosurgery, IEEE Transactions on Information Theory, Journal of Energy Storage, International Journal of Production Research and Nature Communications.

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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