Fan Du
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 32
- Video Analysis and Summarization 13
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- Advanced Text Analysis Techniques 7
- Data Analysis with R 4
- Co-authors
- Catherine Plaisant (8 shared papers)Ben Shneiderman (8 shared papers)Sana Malik (14 shared papers)Nan Cao (8 shared papers)Eunyee Koh (21 shared papers)Neil Spring (4 shared papers)Yu‐Ru Lin (4 shared papers)Shunan Guo (11 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (7 papers)ACM Transactions on Interactive Intelligent Systems (2 papers)IEEE Computer Graphics and Applications (2 papers)Computer Graphics Forum (1 paper)The American Journal of Surgery (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fan Du
44 papers receiving 820 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 569
- Signal Processing 145
- Artificial Intelligence 358
- Statistical and Nonlinear Physics 81
- Human-Computer Interaction 35
Countries citing papers authored by Fan Du
This map shows the geographic impact of Fan Du'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 Fan Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Du more than expected).
Fields of papers citing papers by Fan Du
This network shows the impact of papers produced by Fan Du. 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 Fan Du. The network helps show where Fan Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Du, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2015 | 63 | |
| 3 | 2016 | 50 | |
| 4 | 2018 | 49 | |
| 5 | 2021 | 37 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 35 | |
| 8 | 2021 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2017 | 27 | |
| 14 | 2021 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2015 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2023 | 18 |
About Fan Du
Fan Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Information Systems and Management, having authored 47 papers that have together received 837 indexed citations. Recurring topics across this work include Data Visualization and Analytics (32 papers), Video Analysis and Summarization (13 papers), Advanced Text Analysis Techniques (7 papers), Time Series Analysis and Forecasting (7 papers), Data Management and Algorithms (6 papers), Scientific Computing and Data Management (5 papers), Complex Network Analysis Techniques (5 papers) and Data Analysis with R (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Signal Processing (145 citations), Artificial Intelligence (358 citations), Statistical and Nonlinear Physics (81 citations) and Human-Computer Interaction (35 citations). Fan Du has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Catherine Plaisant, Ben Shneiderman, Sana Malik, Nan Cao, Eunyee Koh, Neil Spring, Yu‐Ru Lin, Shunan Guo, Ryan A. Rossi and David Gotz. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Interactive Intelligent Systems, IEEE Computer Graphics and Applications, Computer Graphics Forum and The American Journal of Surgery.
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.