Si Si

97 papers and 2.2k indexed citations i.

About

Si Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Si Si has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Si Si’s work include Face and Expression Recognition (10 papers), Air Quality and Health Impacts (9 papers) and Occupational exposure and asthma (8 papers). Si Si is often cited by papers focused on Face and Expression Recognition (10 papers), Air Quality and Health Impacts (9 papers) and Occupational exposure and asthma (8 papers). Si Si collaborates with scholars based in Australia, China and United States. Si Si's co-authors include Dacheng Tao, Cho‐Jui Hsieh, Inderjit S. Dhillon, Bo Geng, Hsiang‐Fu Yu, Anyi Mei, Yaoguang Rong, Yue Hu, Huawei Liu and Xiong Li and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Si Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Si Si

Since Specialization
Citations

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