Jean Y. Wu

3 papers and 2.8k indexed citations i.

About

Jean Y. Wu is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jean Y. Wu has authored 3 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Jean Y. Wu’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Humor Studies and Applications (1 paper). Jean Y. Wu is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Humor Studies and Applications (1 paper). Jean Y. Wu collaborates with scholars based in United States. Jean Y. Wu's co-authors include Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Richard Socher, Christopher Potts, Justine Kao, Noah D. Goodman, Leon Bergen, Julie Tibshirani and Arun Tejasvi Chaganty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Theory and applications of categories and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Jean Y. Wu i

Fields of papers citing papers by Jean Y. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Y. Wu

Since Specialization
Citations

This map shows the geographic impact of Jean Y. 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 Jean Y. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Y. 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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2025