Siwei Fu

627 citations
26 papers · 467 · h-index 13

Impact in

Papers in

Siwei Fu

26 papers receiving 455 citations

Peers

Siwei Fu
Comparison fields: 5 of 71
  • Computer Science Applications 135
  • Computer Vision and Pattern Recognition 278
  • Human-Computer Interaction 38
  • Artificial Intelligence 132
  • Signal Processing 31
Replace Tak Yeon Lee with:
Tak Yeon Lee United States
Vassilis Poulopoulos Greece
Renan G. Cattelan Brazil
Nektarios Moumoutzis Greece
Athanasios Manitsaris Greece
Alper Sarıkaya United States
Purvi Saraiya United States
Jaechoon Jo South Korea
Min Lu Japan
Ralph Ewerth Germany
Siwei Fu relative to Tak Yeon Lee United States Tak Yeon Lee's profile →
Citations per field
00.5×3.3×
Tak Yeon Lee · 1×
Citations per year

Countries citing papers authored by Siwei Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Siwei Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siwei Fu Line = papers co-authored together Siwei Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 201665
3 201560
4 201447
5 201827
6 201825
7 202122
8 202118
9 201818
10 201917
11 202014
12 202212
13 201712
14 201811
15 202110
16 20247
17 20235
18 20195
19 20213
20 20193

About Siwei Fu

Siwei Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 26 papers that have together received 467 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Video Analysis and Summarization (7 papers), Online Learning and Analytics (4 papers), Advanced Text Analysis Techniques (3 papers), Image and Video Quality Assessment (3 papers), Complex Network Analysis Techniques (3 papers), Multimedia Communication and Technology (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Computer Science Applications (135 citations), Computer Vision and Pattern Recognition (278 citations), Human-Computer Interaction (38 citations), Artificial Intelligence (132 citations) and Signal Processing (31 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, Yingcai Wu, Jian Zhao, Yifan Wang, Kun Zhou, Haiyi Zhu and Wei Zeng. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, ACM Transactions on Interactive Intelligent Systems, Computer Graphics Forum and IFIP advances in information and communication technology.

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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