Hong-Woo Chun
- Molecular Biology
- Artificial Intelligence top 10%
- Information Systems
- Pharmacology
- Psychiatry and Mental health
- Co-authors
- Jun’ichi TsujiiTeruyoshi HishikiJin-Dong KimYoshimasa TsuruokaNaoki NagataSebastian RiedelToshihisa TakagiTomoko Ohta
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Topic Modeling (6 papers)Natural Language Processing Techniques (6 papers)
- Journals
- BMC BioinformaticsInternational Journal of Environmental Research and Public HealthComputers & Industrial Engineering
- Partner nations
- South KoreaUnited KingdomJapan
In The Last Decade
Hong-Woo Chun
16 papers receiving 284 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 195
- Artificial Intelligence 188
- Information Systems 21
- Pharmacology 20
- Psychiatry and Mental health 15
Countries citing papers authored by Hong-Woo Chun
This map shows the geographic impact of Hong-Woo Chun'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 Hong-Woo Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Woo Chun more than expected).
Fields of papers citing papers by Hong-Woo Chun
This network shows the impact of papers produced by Hong-Woo Chun. 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 Hong-Woo Chun. The network helps show where Hong-Woo Chun may publish in the future.
Co-authorship network of co-authors of Hong-Woo Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Woo Chun. A scholar is included among the top collaborators of Hong-Woo Chun 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 Hong-Woo Chun. Hong-Woo Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013 | 32 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Procedural Knowledge Extraction on Medical Documents | 0 |
| 13 | 1 | |
| 14 | Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure | 2 |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | 63 | |
| 19 | 22 | |
| 20 | 101 |
About Hong-Woo Chun
Hong-Woo Chun is a scholar working on Artificial Intelligence, Information Systems and Management and Information Systems, having authored 20 papers that have together received 304 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (188 citations), Molecular Biology (195 citations) and Health Informatics (3 citations). Hong-Woo Chun has collaborated with scholars based in South Korea, United Kingdom and Japan. Frequent co-authors include Jun’ichi Tsujii, Teruyoshi Hishiki, Jin-Dong Kim, Yoshimasa Tsuruoka, Naoki Nagata, Sebastian Riedel, Toshihisa Takagi, Tomoko Ohta, Sophia Ananiadou and Rafał Rak. Their work appears in journals such as BMC Bioinformatics, International Journal of Environmental Research and Public Health and Computers & Industrial Engineering.
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.