Fan Du

27 papers and 415 indexed citations i.

About

Fan Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fan Du has authored 27 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Fan Du’s work include Data Visualization and Analytics (20 papers), Video Analysis and Summarization (7 papers) and Complex Network Analysis Techniques (3 papers). Fan Du is often cited by papers focused on Data Visualization and Analytics (20 papers), Video Analysis and Summarization (7 papers) and Complex Network Analysis Techniques (3 papers). Fan Du collaborates with scholars based in United States, China and Hong Kong. Fan Du's co-authors include Nan Cao, Sana Malik, Ben Shneiderman, Catherine Plaisant, David Gotz, Yu‐Ru Lin, Eunyee Koh, Adam Perer, Jian Zhao and Shunan Guo and has published in prestigious journals such as Clinical Infectious Diseases, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Fan Du i

Fields of papers citing papers by Fan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Fan Du

Since Specialization
Citations

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).

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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2025