Jung‐Jae Kim
- Artificial Intelligence top 2%
- Molecular Biology
- Control and Systems Engineering top 5%
- Information Systems top 5%
- Epidemiology
- Co-authors
- Jong Cheol ParkDietrich Rebholz‐SchuhmannKwang‐Guk AnDae‐Gab GweonHyunju LeeJeong-Kyun KimHyun Sook KimDahoon Ahn
- Topics
- Biomedical Text Mining and Ontologies (25 papers)Topic Modeling (22 papers)Natural Language Processing Techniques (16 papers)
- Partner nations
- SingaporeSouth KoreaUnited Kingdom
In The Last Decade
Jung‐Jae Kim
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 666
- Molecular Biology 649
- Control and Systems Engineering 204
- Information Systems 149
- Epidemiology 124
Countries citing papers authored by Jung‐Jae Kim
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | Term Ranker: A Graph-Based Re-Ranking Approach. | 9 |
| 8 | GRO Task: Populating the Gene Regulation Ontology with events and relations | 10 |
| 9 | Overview of BioNLP Shared Task 2013 | 114 |
| 10 | Discovering Cross-Ontology Subsumption Relationships by Using Ontological Annotations on Biomedical Literature. | 1 |
| 11 | 6 | |
| 12 | A Study for PKI Based Home Network System Authentication and Access Control Protocol | 3 |
| 13 | Seismic Design of Columns in Inverted V-braced Steel Frames Considering Brace Buckling | 1 |
| 14 | Eff2Match results for OAEI 2010 | 10 |
| 15 | Design on Authentication System Based Multicast DRM for Protection of IPTV Contents | 0 |
| 16 | 0 | |
| 17 | Control of Decoupled Type High Precision Dual-Servo | 2 |
| 18 | A Study on DRM System for On/Off Line Key Authentication | 1 |
| 19 | Induced Extension of Gene Ontology from Biomedical Resources with Flexible Identication of Candidate Terms | 2 |
| 20 | A Study on the Characteristics of Dematerialized Expression in the Contemporary Architecture in Korea | 1 |
About Jung‐Jae Kim
Jung‐Jae Kim is a scholar working on Artificial Intelligence, Health Information Management and Information Systems, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (16 papers). The work is most often cited by research in Artificial Intelligence (666 citations), Transportation (75 citations) and Molecular Biology (649 citations). Jung‐Jae Kim has collaborated with scholars based in Singapore, South Korea and United Kingdom. Frequent co-authors include Jong Cheol Park, Dietrich Rebholz‐Schuhmann, Kwang‐Guk An, Dae‐Gab Gweon, Hyunju Lee, Jeong-Kyun Kim, Hyun Sook Kim, Dahoon Ahn, Alton Y.K. Chua and Snehasish Banerjee. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.