Hae‐Chang Rim

45 papers and 606 indexed citations i.

About

Hae‐Chang Rim is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Hae‐Chang Rim has authored 45 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 18 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Hae‐Chang Rim’s work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Advanced Text Analysis Techniques (10 papers). Hae‐Chang Rim is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Advanced Text Analysis Techniques (10 papers). Hae‐Chang Rim collaborates with scholars based in South Korea, United States and Japan. Hae‐Chang Rim's co-authors include Kyoung-Soo Han, Sang‐Bum Kim, Sung Hyon Myaeng, Min-Chul Yang, Young-Sook Hwang, Seonho Kim, Jung‐Tae Lee, Nan Duan, Ming Zhou and Seung-Wook Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Hae‐Chang Rim i

Fields of papers citing papers by Hae‐Chang Rim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Chang Rim. 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 Hae‐Chang Rim. The network helps show where Hae‐Chang Rim may publish in the future.

Countries citing papers authored by Hae‐Chang Rim

Since Specialization
Citations

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