Emily Sheng

6 papers and 314 indexed citations i.

About

Emily Sheng is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Emily Sheng has authored 6 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Communication. Recurrent topics in Emily Sheng’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Emily Sheng is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Emily Sheng collaborates with scholars based in United States. Emily Sheng's co-authors include Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Jonathan Gordon, Kyra Yee, Matthias Eck, L Belli and Gully Burns and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Emily Sheng i

Fields of papers citing papers by Emily Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily Sheng

Since Specialization
Citations

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