Wonjin Yoon
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 2
-
- Biomedical Text Mining and Ontologies 6
- Co-authors
- Jaewoo Kang (10 shared papers)Jinhyuk Lee (4 shared papers)Donghyeon Kim (3 shared papers)Sunkyu Kim (2 shared papers)Sungdong Kim (1 shared paper)Minbyul Jeong (5 shared papers)Mujeen Sung (6 shared papers)Hwisang Jeon (1 shared paper)
- Journals
- Bioinformatics (2 papers)Database (2 papers)IEEE Access (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of the Association for Information Science and Technology (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Wonjin Yoon
10 papers receiving 3.6k citations
Wonjin Yoon's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 279
- Artificial Intelligence 2.9k
- Health Information Management 157
- Molecular Biology 1.6k
- General Social Sciences 56
Countries citing papers authored by Wonjin Yoon
This map shows the geographic impact of Wonjin Yoon'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 Wonjin Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonjin Yoon more than expected).
Fields of papers citing papers by Wonjin Yoon
This network shows the impact of papers produced by Wonjin Yoon. 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 Wonjin Yoon. The network helps show where Wonjin Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonjin Yoon, 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 | BioBERT: a pre-trained biomedical language representation model for biomedical text mining Hit paper breakdown → | 2019 | 3644 |
| 2 | 2019 | 85 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 20 | |
| 5 | 2022 | 17 | |
| 6 | Transferability of Natural Language Inference to Biomedical Question Answering | 2020 | 9 |
| 7 | 2023 | 3 | |
| 8 | 2024 | 2 | |
| 9 | KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. | 2021 | 1 |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2022 | 0 |
About Wonjin Yoon
Wonjin Yoon is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 3.8k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (2 papers), scientometrics and bibliometrics research (1 paper), Expert finding and Q&A systems (1 paper), Computational Drug Discovery Methods (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Health Informatics (279 citations), Artificial Intelligence (2.9k citations), Health Information Management (157 citations), Molecular Biology (1.6k citations) and General Social Sciences (56 citations). Wonjin Yoon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jaewoo Kang, Jinhyuk Lee, Donghyeon Kim, Sunkyu Kim, Sungdong Kim, Minbyul Jeong, Mujeen Sung, Hwisang Jeon, Yong-Hwa Choi and Richard Jackson. Their work appears in journals such as Bioinformatics, Database, IEEE Access, Journal of the American Medical Informatics Association and Journal of the Association for Information Science and Technology.
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.