Jaewoo Kang
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 46
- Natural Language Processing Techniques 28
- Co-authors
- Jinhyuk LeeSunkyu KimDonghyeon KimWonjin YoonSungdong KimJeffrey F. NaughtonMinbyul JeongKyubum Lee
- Journals
- Bioinformatics (17 papers)PLoS ONE (10 papers)IEEE Access (8 papers)Information Sciences (5 papers)Database (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaewoo Kang
161 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 325
- Artificial Intelligence 4.9k
- Management Science and Operations Research 665
- Signal Processing 528
- Information Systems 998
Countries citing papers authored by Jaewoo Kang
This map shows the geographic impact of Jaewoo Kang'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 Jaewoo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaewoo Kang more than expected).
Fields of papers citing papers by Jaewoo Kang
This network shows the impact of papers produced by Jaewoo Kang. 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 Jaewoo Kang. The network helps show where Jaewoo Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaewoo Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 39 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 65 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 49 | |
| 13 | 2022 | 0 | |
| 14 | 2021 | 29 | |
| 15 | KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. | 2021 | 1 |
| 16 | 2021 | 0 | |
| 17 | 2020 | 25 | |
| 18 | 2020 | 2 | |
| 19 | 2014 | 21 | |
| 20 | The Niagara Internet Query System. | 2001 | 113 |
About Jaewoo Kang
Jaewoo Kang is a scholar working on Artificial Intelligence, Health Informatics, Computational Theory and Mathematics, Information Systems and Management Science and Operations Research, having authored 173 papers that have together received 8.3k indexed citations. Recurring topics across this work include Topic Modeling (46 papers), Bioinformatics and Genomic Networks (33 papers), Natural Language Processing Techniques (28 papers), Biomedical Text Mining and Ontologies (26 papers), Computational Drug Discovery Methods (23 papers), Gene expression and cancer classification (15 papers), Web Data Mining and Analysis (14 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Health Informatics (325 citations), Artificial Intelligence (4.9k citations), Management Science and Operations Research (665 citations), Signal Processing (528 citations) and Information Systems (998 citations). Jaewoo Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jinhyuk Lee, Sunkyu Kim, Donghyeon Kim, Wonjin Yoon, Sungdong Kim, Jeffrey F. Naughton, Minbyul Jeong, Kyubum Lee, Hyunwoo J. Kim and Sunwon Lee. Their work appears in journals such as Bioinformatics, PLoS ONE, IEEE Access, Information Sciences and Database.
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.