Sungbin Choi

About

Sungbin Choi is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sungbin Choi has authored 9 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Sungbin Choi’s work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Information Retrieval and Search Behavior (3 papers). Sungbin Choi is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Information Retrieval and Search Behavior (3 papers). Sungbin Choi collaborates with scholars based in South Korea. Sungbin Choi's co-authors include Jinwook Choi, Sooyoung Yoo, Borim Ryu and Youngho Lee and has published in prestigious journals such as Information Sciences, Journal of Biomedical Informatics and Text REtrieval Conference.

In The Last Decade

Co-authorship network of co-authors of Sungbin Choi i

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Fields of papers citing papers by Sungbin Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungbin Choi

Since Specialization

Citations

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