Jong Cheol Park
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Pharmacology top 2%
Papers in
-
- Biomedical Text Mining and Ontologies 25
- Natural product bioactivities and synthesis 12
-
- Natural Language Processing Techniques 28
- Topic Modeling 16
- Semantic Web and Ontologies 14
- Co-authors
- Jung‐Jae Kim (8 shared papers)Jae Sue Choi (9 shared papers)Jae Yeong Park (6 shared papers)Ruslan Mitkov (1 shared paper)Takako Yokozawa (11 shared papers)Jong Moon Hur (12 shared papers)Lynette Hirschman (3 shared papers)Cathy Wu (3 shared papers)
- Journals
- Archives of Pharmacal Research (10 papers)Phytotherapy Research (5 papers)BMC Bioinformatics (4 papers)Bioinformatics (3 papers)The American Journal of Chinese Medicine (3 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jong Cheol Park
178 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 174
- Biochemistry 264
- Pharmacology 192
- Complementary and alternative medicine 141
- Artificial Intelligence 552
- Molecular Biology 1.1k
Countries citing papers authored by Jong Cheol Park
This map shows the geographic impact of Jong Cheol Park'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 Jong Cheol Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Cheol Park more than expected).
Fields of papers citing papers by Jong Cheol Park
This network shows the impact of papers produced by Jong Cheol Park. 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 Jong Cheol Park. The network helps show where Jong Cheol Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong Cheol Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 216 | |
| 2 | 1999 | 152 | |
| 3 | 2010 | 142 | |
| 4 | Proceedings of the Sixth International Joint Conference on Natural Language Processing | 2013 | 116 |
| 5 | 2002 | 101 | |
| 6 | 2000 | 101 | |
| 7 | 2013 | 98 | |
| 8 | 2003 | 89 | |
| 9 | 2007 | 67 | |
| 10 | 2004 | 60 | |
| 11 | 2018 | 56 | |
| 12 | 2011 | 53 | |
| 13 | 2010 | 53 | |
| 14 | 2014 | 49 | |
| 15 | 2002 | 47 | |
| 16 | 2012 | 46 | |
| 17 | 2004 | 45 | |
| 18 | 1995 | 40 | |
| 19 | 2011 | 39 | |
| 20 | 2007 | 34 |
About Jong Cheol Park
Jong Cheol Park is a scholar working on Molecular Biology, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Surgery and Electrical and Electronic Engineering, having authored 199 papers that have together received 2.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Biomedical Text Mining and Ontologies (25 papers), Topic Modeling (16 papers), Coronary Interventions and Diagnostics (16 papers), Semantic Web and Ontologies (14 papers), Natural product bioactivities and synthesis (12 papers), Phytochemistry and Biological Activities (12 papers) and Phytochemicals and Antioxidant Activities (11 papers). The work is most often cited by research in Biochemistry (264 citations), Pharmacology (192 citations), Complementary and alternative medicine (141 citations), Artificial Intelligence (552 citations) and Molecular Biology (1.1k citations). Jong Cheol Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jung‐Jae Kim, Jae Sue Choi, Jae Yeong Park, Ruslan Mitkov, Takako Yokozawa, Jong Moon Hur, Lynette Hirschman, Cathy Wu, Jun’ichi Tsujii and Limsoon Wong. Their work appears in journals such as Archives of Pharmacal Research, Phytotherapy Research, BMC Bioinformatics, Bioinformatics and The American Journal of Chinese Medicine.
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.