Jun Tang

64 total papers · 842 total citations
47 papers, 628 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 628 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, Jun Yu, Dong Liang, Shuying Li and Yuancheng Huang 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 609 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Tang 436 72 64 63 58 47 628
Dalian Liu 314 0.7× 65 0.9× 18 0.3× 375 6.0× 34 0.6× 43 626
Fuad Rahman 360 0.8× 119 1.7× 14 0.2× 354 5.6× 44 0.8× 84 733
Roberto Paredes 367 0.8× 50 0.7× 18 0.3× 377 6.0× 11 0.2× 45 693
Ralph Ewerth 409 0.9× 74 1.0× 9 0.1× 122 1.9× 30 0.5× 75 592
Jing Li 464 1.1× 69 1.0× 95 1.5× 104 1.7× 5 0.1× 55 691
Gunhee Lee 200 0.5× 13 0.2× 37 0.6× 143 2.3× 26 0.4× 44 555
Aurélie Bugeau 506 1.2× 106 1.5× 23 0.4× 45 0.7× 8 0.1× 36 691
Xiangjun Li 225 0.5× 28 0.4× 33 0.5× 201 3.2× 9 0.2× 51 731
Lan Xu 171 0.4× 16 0.2× 29 0.5× 213 3.4× 17 0.3× 65 590
Long Ma 303 0.7× 222 3.1× 30 0.5× 211 3.3× 5 0.1× 51 792

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

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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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