Jun Tang

849 total citations
47 papers, 635 citations indexed

About

Jun Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Jun Tang has authored 47 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 6 papers in Biomedical Engineering. Recurrent topics in Jun Tang's work include Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (12 papers) and Video Surveillance and Tracking Methods (11 papers). Jun Tang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (12 papers) and Video Surveillance and Tracking Methods (11 papers). Jun Tang collaborates with scholars based in China, United Kingdom and Australia. Jun Tang's co-authors include Ling Shao, Ke Wang, Nian Wang, Xuelong Li, Ke Lü, Xiantong Zhen, Shuying Li, Dong Liang, Yuancheng Huang and Guokang Zhu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Jun Tang

45 papers receiving 615 citations

Peers

Jun Tang
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 441
  • Media Technology 72
  • Biomedical Engineering 64
  • Artificial Intelligence 64
  • Economics and Econometrics 59
Replace Jiayu Tang with:
Jiayu Tang China
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Dost Muhammad Khan Pakistan
Brendon J. Woodford New Zealand
Pradeepta Kumar Sarangi India
Fengjun Xiao China
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Jiayu Tang China View profile →
Citations per field, relative to Jun Tang
Jun Tang · 1×
Citations per year, relative to Jun Tang
Jun Tang · 1×

Countries citing papers authored by Jun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tang. A scholar is included among the top collaborators of Jun Tang 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 Jun Tang. Jun Tang 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
# Work Indexed citations
1 0
2 3
3 34
4 1
5 9
6 15
7 3
8 33
9 183
10 6
11 42
12 20
13 5
14 2
15 12
16 1
17 8
18
Image denoising using nonsubsampled contourlet transform
2
19 8
20
An Anti-Money Laundering Data Monitoring and Analytical SystemBased on Customer Behavior Pattern Recognition
1

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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