Seongsoon Kim

19 total papers · 470 total citations
15 papers, 331 citations indexed

About

Seongsoon Kim is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Seongsoon Kim has authored 15 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Seongsoon Kim's work include Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (3 papers). Seongsoon Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (3 papers). Seongsoon Kim collaborates with scholars based in South Korea, United States and Japan. Seongsoon Kim's co-authors include Jaewoo Kang, Yong Gyu Park, Buru Chang, Kyubum Lee, Sunwon Lee, Aik Choon Tan, Sunkyu Kim, Minji Jeon, Donghyeon Kim and Jaehoon Choi and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Seongsoon Kim

15 papers receiving 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seongsoon Kim 151 136 102 99 34 15 331
Paolo Rosso 179 1.2× 85 0.6× 25 0.2× 95 1.0× 29 0.9× 16 289
Veli Biçer 114 0.8× 87 0.6× 29 0.3× 65 0.7× 48 1.4× 19 264
Sheila Kinsella 170 1.1× 131 1.0× 28 0.3× 106 1.1× 76 2.2× 9 329
Andrei Tamilin 244 1.6× 143 1.1× 83 0.8× 59 0.6× 16 0.5× 17 332
Mariam Daoud 144 1.0× 175 1.3× 29 0.3× 13 0.1× 48 1.4× 18 276
Liangda Li 166 1.1× 115 0.8× 51 0.5× 25 0.3× 49 1.4× 21 355
Yi Huang 128 0.8× 62 0.5× 17 0.2× 26 0.3× 42 1.2× 14 217
Yih-Farn Robin Chen 99 0.7× 100 0.7× 23 0.2× 9 0.1× 21 0.6× 11 265
Weifeng Su 130 0.9× 144 1.1× 20 0.2× 14 0.1× 56 1.6× 36 347
Guy Feigenblat 184 1.2× 52 0.4× 48 0.5× 9 0.1× 26 0.8× 25 349

Countries citing papers authored by Seongsoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seongsoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongsoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seongsoon Kim. A scholar is included among the top collaborators of Seongsoon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seongsoon Kim. Seongsoon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026