Jung‐Jae Kim

151 total papers · 2.7k total citations
85 papers, 1.6k citations indexed

About

Jung‐Jae Kim is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Jung‐Jae Kim has authored 85 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 26 papers in Molecular Biology and 15 papers in Information Systems. Recurrent topics in Jung‐Jae Kim's work include Biomedical Text Mining and Ontologies (25 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (16 papers). Jung‐Jae Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (25 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (16 papers). Jung‐Jae Kim collaborates with scholars based in Singapore, South Korea and United Kingdom. Jung‐Jae Kim's co-authors include Jong Cheol Park, Dietrich Rebholz‐Schuhmann, Kwang‐Guk An, Dae‐Gab Gweon, Hyun Sook Kim, Dahoon Ahn, Hyunju Lee, Jeong-Kyun Kim, Alton Y.K. Chua and Xiaoli Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Jung‐Jae Kim

75 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Jung‐Jae Kim 661 643 202 147 123 85 1.6k
Yuwen Liu 296 0.4× 375 0.6× 56 0.3× 193 1.3× 124 1.0× 105 1.8k
Mark J. Embrechts 724 1.1× 225 0.3× 195 1.0× 126 0.9× 17 0.1× 106 1.9k
Hongxu Chen 1.0k 1.6× 235 0.4× 43 0.2× 512 3.5× 41 0.3× 121 2.3k
Jiawei Luo 712 1.1× 433 0.7× 217 1.1× 166 1.1× 32 0.3× 70 2.1k
Kai Zhang 610 0.9× 109 0.2× 100 0.5× 100 0.7× 96 0.8× 92 1.4k
Tao Li 395 0.6× 480 0.7× 57 0.3× 124 0.8× 31 0.3× 80 1.7k
Monica Bianchini 760 1.1× 172 0.3× 122 0.6× 226 1.5× 19 0.2× 83 1.9k
Pengfei Shi 223 0.3× 117 0.2× 117 0.6× 85 0.6× 29 0.2× 172 2.1k
Lifei Chen 617 0.9× 732 1.1× 93 0.5× 295 2.0× 24 0.2× 135 2.3k
Kamal Raj Pardasani 168 0.3× 529 0.8× 183 0.9× 87 0.6× 55 0.4× 115 2.0k

Countries citing papers authored by Jung‐Jae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Jae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung‐Jae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Jae Kim. A scholar is included among the top collaborators of Jung‐Jae 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 Jung‐Jae Kim. Jung‐Jae 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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