Siwei Fu
- Computer Vision and Pattern Recognition top 5%
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Education
- Co-authors
- Huamin QuConglei ShiQing ChenWeiwei CuiJian ZhaoYingcai WuZhutian ChenYifan Wang
- Topics
- Data Visualization and Analytics (14 papers)Video Analysis and Summarization (7 papers)Online Learning and Analytics (4 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Siwei Fu
24 papers receiving 410 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 266
- Computer Science Applications 127
- Artificial Intelligence 120
- Sociology and Political Science 46
- Education 45
Countries citing papers authored by Siwei Fu
This map shows the geographic impact of Siwei Fu'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 Siwei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Fu more than expected).
Fields of papers citing papers by Siwei Fu
This network shows the impact of papers produced by Siwei Fu. 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 Siwei Fu. The network helps show where Siwei Fu may publish in the future.
Co-authorship network of co-authors of Siwei Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Siwei Fu. A scholar is included among the top collaborators of Siwei Fu 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 Siwei Fu. Siwei Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | VisImages: A Large-scale, High-quality Image Corpus in Visualization Publications. | 3 |
| 11 | 64 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 10 | |
| 16 | 23 | |
| 17 | 64 | |
| 18 | 56 | |
| 19 | 2 | |
| 20 | 42 |
About Siwei Fu
Siwei Fu is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 24 papers that have together received 423 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Video Analysis and Summarization (7 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Computer Science Applications (127 citations), Computer Vision and Pattern Recognition (266 citations) and Human-Computer Interaction (37 citations). Siwei Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huamin Qu, Conglei Shi, Qing Chen, Weiwei Cui, Jian Zhao, Yingcai Wu, Zhutian Chen, Yifan Wang, Kun Zhou and Qianwen Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.
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.