Jin‐Cheon Na

42 papers and 676 indexed citations i.

About

Jin‐Cheon Na is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Jin‐Cheon Na has authored 42 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 13 papers in Sociology and Political Science and 13 papers in Information Systems. Recurrent topics in Jin‐Cheon Na’s work include Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (15 papers) and Topic Modeling (13 papers). Jin‐Cheon Na is often cited by papers focused on Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (15 papers) and Topic Modeling (13 papers). Jin‐Cheon Na collaborates with scholars based in Singapore, United States and China. Jin‐Cheon Na's co-authors include Christopher S. G. Khoo, Tun Thura Thet, Li Yang, Jianfei Yu, Kokil Jaidka, Armineh Nourbakhsh, Yin‐Leng Theng, Shirley S. Ho, Yin Leng Theng and Kuiyu Chang and has published in prestigious journals such as Computers & Education, Knowledge-Based Systems and Scientometrics.

In The Last Decade

Co-authorship network of co-authors of Jin‐Cheon Na i

Fields of papers citing papers by Jin‐Cheon Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Cheon Na. 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 Jin‐Cheon Na. The network helps show where Jin‐Cheon Na may publish in the future.

Countries citing papers authored by Jin‐Cheon Na

Since Specialization
Citations

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