Diyi Yang

129 papers and 4.9k indexed citations i.

About

Diyi Yang is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Diyi Yang has authored 129 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 25 papers in Communication and 19 papers in Sociology and Political Science. Recurrent topics in Diyi Yang’s work include Topic Modeling (62 papers), Natural Language Processing Techniques (43 papers) and Social Media and Politics (11 papers). Diyi Yang is often cited by papers focused on Topic Modeling (62 papers), Natural Language Processing Techniques (43 papers) and Social Media and Politics (11 papers). Diyi Yang collaborates with scholars based in United States, China and Germany. Diyi Yang's co-authors include Eduard Hovy, Chris Dyer, Zichao Yang, Xiaodong He, Alex Smola, Carolyn Penstein Rosé, Jiaao Chen, Miaomiao Wen, Robert E. Kraut and William Yang Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Nature Human Behaviour and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Diyi Yang i

Fields of papers citing papers by Diyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diyi Yang

Since Specialization
Citations

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