Ann Yuan

9 papers and 281 indexed citations i.

About

Ann Yuan is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Ann Yuan has authored 9 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Ann Yuan’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Social Media and Politics (2 papers). Ann Yuan is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Social Media and Politics (2 papers). Ann Yuan collaborates with scholars based in United States, United Kingdom and Taiwan. Ann Yuan's co-authors include Andy Coenen, Emily Reif, Been Kim, Adam Pearce, Fernanda Viégas, Martin Wattenberg, Fuh‐Yuan Shih, Matthew Huei‐Ming, Fang‐Yue Lin and Wen‐Jone Chen and has published in prestigious journals such as Communications of the ACM, Intensive Care Medicine and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Ann Yuan i

Fields of papers citing papers by Ann Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ann Yuan

Since Specialization
Citations

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