Yu-Seop Kim

About

Yu-Seop Kim is a scholar working on Artificial Intelligence, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Yu-Seop Kim has authored 104 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 27 papers in Biomedical Engineering and 24 papers in Molecular Biology. Recurrent topics in Yu-Seop Kim’s work include Topic Modeling (21 papers), Biosensors and Analytical Detection (21 papers) and Natural Language Processing Techniques (20 papers). Yu-Seop Kim is often cited by papers focused on Topic Modeling (21 papers), Biosensors and Analytical Detection (21 papers) and Natural Language Processing Techniques (20 papers). Yu-Seop Kim collaborates with scholars based in South Korea and United States. Yu-Seop Kim's co-authors include Chan-Young Park, Jong-Dae Kim, Hye-Jeong Song, Kui Hong, Young‐Bum Kim, Yejin Jang, Taek Jin Kang, Filippo Menczer, W. Nick Street and Soonmin Kang and has published in prestigious journals such as Biomaterials, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Yu-Seop Kim i

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Fields of papers citing papers by Yu-Seop Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Seop Kim. 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 Yu-Seop Kim. The network helps show where Yu-Seop Kim may publish in the future.

Countries citing papers authored by Yu-Seop Kim

Since Specialization

Citations

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