Si Wu

96 papers and 2.0k indexed citations i.

About

Si Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Si Wu has authored 96 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Si Wu’s work include Domain Adaptation and Few-Shot Learning (28 papers), Generative Adversarial Networks and Image Synthesis (22 papers) and Video Surveillance and Tracking Methods (17 papers). Si Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (28 papers), Generative Adversarial Networks and Image Synthesis (22 papers) and Video Surveillance and Tracking Methods (17 papers). Si Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Si Wu's co-authors include Шун-ичи Амари, Hau−San Wong, Zhiwen Yu, Cheng Liu, Vo Van Giau, SangYun Kim, John Hulme, Seong Soo A. An, Jun Zhang and Jane You and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Si Wu i

Fields of papers citing papers by Si Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Wu. 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 Si Wu. The network helps show where Si Wu may publish in the future.

Countries citing papers authored by Si Wu

Since Specialization
Citations

This map shows the geographic impact of Si Wu'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 Si Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wu 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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