Jee-Hyub Kim
Impact in
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- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
Papers in
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- Scientific Computing and Data Management 2
- Co-authors
- So Young YiSeung Hun YuYoung-Hee JoungSanghyeob LeeDoil ChoiJohanna McEntyreŞenay KafkasXingjun Pi
- Journals
- Journal of Biomedical Semantics (3 papers)Bioinformatics (2 papers)PLoS ONE (2 papers)PLANT PHYSIOLOGY (1 paper)Journal of Dental Research (1 paper)
- Partner nations
- United KingdomSouth KoreaSwitzerland
In The Last Decade
Jee-Hyub Kim
21 papers receiving 361 citations
Peers
Comparison fields: 5 of 81
- Plant Science 160
- Information Systems and Management 27
- Molecular Biology 189
- Artificial Intelligence 68
- Statistics, Probability and Uncertainty 14
Countries citing papers authored by Jee-Hyub Kim
This map shows the geographic impact of Jee-Hyub 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 Jee-Hyub Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee-Hyub Kim more than expected).
Fields of papers citing papers by Jee-Hyub Kim
This network shows the impact of papers produced by Jee-Hyub 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 Jee-Hyub Kim. The network helps show where Jee-Hyub Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jee-Hyub Kim, 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 | 2021 | 15 | |
| 2 | 2017 | 25 | |
| 3 | 2015 | 35 | |
| 4 | 2013 | 23 | |
| 5 | 2013 | 3 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 8 | |
| 8 | 2013 | 11 | |
| 9 | Finding small molecule and protein pairs in scientific literature using a bootstrapping method | 2012 | 1 |
| 10 | 2012 | 17 | |
| 11 | 2007 | 10 | |
| 12 | 2005 | 14 | |
| 13 | 2004 | 154 | |
| 14 | 2003 | 11 | |
| 15 | 2003 | 6 | |
| 16 | 2002 | 6 | |
| 17 | 2001 | 4 | |
| 18 | 2000 | 4 | |
| 19 | The use of FAB mass spectrometry and pyroglutamate aminopeptidase digestion for the structure determination of pyroglutamate in modified peptides. | 1995 | 2 |
| 20 | 1991 | 7 |
About Jee-Hyub Kim
Jee-Hyub Kim is a scholar working on Public Administration, Information Systems and Management, Otorhinolaryngology, Artificial Intelligence and Molecular Biology, having authored 21 papers that have together received 374 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers), Bioinformatics and Genomic Networks (3 papers), Text and Document Classification Technologies (3 papers), Machine Learning in Bioinformatics (2 papers), Web Data Mining and Analysis (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Plant Science (160 citations), Information Systems and Management (27 citations), Molecular Biology (189 citations), Artificial Intelligence (68 citations) and Statistics, Probability and Uncertainty (14 citations). Jee-Hyub Kim has collaborated with scholars based in United Kingdom, South Korea and Switzerland. Frequent co-authors include So Young Yi, Seung Hun Yu, Young-Hee Joung, Sanghyeob Lee, Doil Choi, Johanna McEntyre, Şenay Kafkas, Xingjun Pi, Dietrich Rebholz‐Schuhmann and Alex Mitchell. Their work appears in journals such as Journal of Biomedical Semantics, Bioinformatics, PLoS ONE, PLANT PHYSIOLOGY and Journal of Dental Research.
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.