Ji-Ung Lee

9 papers and 57 indexed citations i.

About

Ji-Ung Lee is a scholar working on Artificial Intelligence, Computer Science Applications and Management Science and Operations Research. According to data from OpenAlex, Ji-Ung Lee has authored 9 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 1 paper in Management Science and Operations Research. Recurrent topics in Ji-Ung Lee’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Ji-Ung Lee is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Ji-Ung Lee collaborates with scholars based in Germany, United States and United Kingdom. Ji-Ung Lee's co-authors include Iryna Gurevych, Steffen Eger, Edwin Simpson, Christian M. Meyer, Mohsen Mesgar, Cláudia Schulz, Gözde Gül Şahin, Andreas Rücklé, Oliver Quiring and Marcus Maurer and has published in prestigious journals such as Computational Linguistics, White Rose Research Online (University of Leeds) and Bristol Research (University of Bristol).

In The Last Decade

Co-authorship network of co-authors of Ji-Ung Lee i

Fields of papers citing papers by Ji-Ung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Ung Lee. 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 Ji-Ung Lee. The network helps show where Ji-Ung Lee may publish in the future.

Countries citing papers authored by Ji-Ung Lee

Since Specialization
Citations

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