Chung–hye Han

32 papers and 638 indexed citations i.

About

Chung–hye Han is a scholar working on Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Chung–hye Han has authored 32 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Language and Linguistics, 20 papers in Artificial Intelligence and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Chung–hye Han’s work include Syntax, Semantics, Linguistic Variation (24 papers), Natural Language Processing Techniques (20 papers) and Language, Discourse, Communication Strategies (9 papers). Chung–hye Han is often cited by papers focused on Syntax, Semantics, Linguistic Variation (24 papers), Natural Language Processing Techniques (20 papers) and Language, Discourse, Communication Strategies (9 papers). Chung–hye Han collaborates with scholars based in Canada, United States and South Korea. Chung–hye Han's co-authors include Maribel Romero, Jeffrey Lidz, Julien Musolino, Anna Papafragou, Peggy Li, Youngon Choi, Martha Palmer, Jong‐Bok Kim, Chungmin Lee and Keir Moulton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognition and Language.

In The Last Decade

Co-authorship network of co-authors of Chung–hye Han i

Fields of papers citing papers by Chung–hye Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung–hye Han. 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 Chung–hye Han. The network helps show where Chung–hye Han may publish in the future.

Countries citing papers authored by Chung–hye Han

Since Specialization
Citations

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