Jun Han
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Data Visualization and Analytics
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
Papers in ⓘ
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- Advanced Vision and Imaging 11
- Advanced Image Processing Techniques 11
- Generative Adversarial Networks and Image Synthesis 9
- Image and Signal Denoising Methods 7
- Data Visualization and Analytics 5
- Co-authors
- Chaoli Wang (16 shared papers)Danny Z. Chen (6 shared papers)Jun Tao (2 shared papers)Hao Zheng (6 shared papers)Xuefei Chen (2 shared papers)Jing Liu (1 shared paper)W.H. Ku (5 shared papers)J.R. Zeidler (5 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Scientific Reports (2 papers)Journal of Vision (2 papers)Computers & Graphics (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Han
70 papers receiving 739 citations
Peers
Comparison fields: 5 of 108
- Computer Graphics and Computer-Aided Design 175
- Computer Vision and Pattern Recognition 390
- Signal Processing 76
- Computational Mechanics 106
- Computer Science Applications 27
Countries citing papers authored by Jun Han
This map shows the geographic impact of Jun Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Han more than expected).
Fields of papers citing papers by Jun Han
This network shows the impact of papers produced by Jun Han. 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 Han. The network helps show where Jun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Han, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2019 | 55 | |
| 3 | 2020 | 42 | |
| 4 | 2022 | 39 | |
| 5 | 2020 | 39 | |
| 6 | 2010 | 37 | |
| 7 | 2019 | 36 | |
| 8 | 2021 | 35 | |
| 9 | 2022 | 33 | |
| 10 | 2019 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2002 | 28 | |
| 13 | 2021 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2022 | 18 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2011 | 11 |
About Jun Han
Jun Han is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computer Science Applications, Signal Processing and Information Systems, having authored 76 papers that have together received 774 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Fault Detection and Control Systems (7 papers), Higher Education and Teaching Methods (7 papers), Image and Signal Denoising Methods (7 papers), Flow Measurement and Analysis (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (175 citations), Computer Vision and Pattern Recognition (390 citations), Signal Processing (76 citations), Computational Mechanics (106 citations) and Computer Science Applications (27 citations). Jun Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chaoli Wang, Danny Z. Chen, Jun Tao, Hao Zheng, Xuefei Chen, Jing Liu, W.H. Ku, J.R. Zeidler, Jing Liu and Li Guo. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Scientific Reports, Journal of Vision, Computers & Graphics and Frontiers in Pharmacology.
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.