Jun Tao
Impact in
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- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
Papers in
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- Data Visualization and Analytics 18
- Video Analysis and Summarization 8
- Advanced Vision and Imaging 7
- Image Retrieval and Classification Techniques 5
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- Computer Graphics and Visualization Techniques 16
- Co-authors
- Chaoli Wang (27 shared papers)Ching-Kuang Shene (10 shared papers)Jun Han (2 shared papers)Jun Ma (2 shared papers)Nitesh V. Chawla (5 shared papers)Chao Huang (3 shared papers)Hanqi Guo (2 shared papers)Zhisheng Zhang (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (12 papers)Computers & Graphics (3 papers)Visual Informatics (2 papers)Applied Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Tao
58 papers receiving 573 citations
Peers
Comparison fields: 5 of 95
- Computer Graphics and Computer-Aided Design 109
- Computer Vision and Pattern Recognition 295
- Signal Processing 80
- Computer Science Applications 31
- Artificial Intelligence 115
Countries citing papers authored by Jun Tao
This map shows the geographic impact of Jun Tao'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 Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tao more than expected).
Fields of papers citing papers by Jun Tao
This network shows the impact of papers produced by Jun Tao. 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 Tao. The network helps show where Jun Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2012 | 59 | |
| 3 | 2018 | 42 | |
| 4 | 2019 | 31 | |
| 5 | 2016 | 28 | |
| 6 | 2022 | 28 | |
| 7 | 2017 | 21 | |
| 8 | 2022 | 18 | |
| 9 | 2013 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 9 |
About Jun Tao
Jun Tao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Signal Processing and Information Systems, having authored 60 papers that have together received 586 indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Computer Graphics and Visualization Techniques (16 papers), Video Analysis and Summarization (8 papers), Advanced Vision and Imaging (7 papers), Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers), Image Retrieval and Classification Techniques (5 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (109 citations), Computer Vision and Pattern Recognition (295 citations), Signal Processing (80 citations), Computer Science Applications (31 citations) and Artificial Intelligence (115 citations). Jun Tao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chaoli Wang, Ching-Kuang Shene, Jun Han, Jun Ma, Nitesh V. Chawla, Chao Huang, Hanqi Guo, Zhisheng Zhang, Jun Ma and Hao Zheng. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Visual Informatics, Applied Sciences and Proceedings of the National Academy of Sciences.
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.