Tai Hoon Kim
- Molecular Biology
- Materials Chemistry
- Physiology
- Food Science
- Electronic, Optical and Magnetic Materials
- Co-authors
- Hyun Ho JungYeung‐Hyen KimWoo Jin ChoiJin Won ChoJaegal ShimSunghoon KimSabah MohammedJinan Fiaidhi
- Topics
- Genetics, Aging, and Longevity in Model Organisms (3 papers)Probiotics and Fermented Foods (3 papers)Spam and Phishing Detection (2 papers)
- Cited by
- AgingFood SciencePhysiology
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersScientific Reports
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Tai Hoon Kim
15 papers receiving 300 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 147
- Materials Chemistry 69
- Physiology 69
- Food Science 52
- Electronic, Optical and Magnetic Materials 46
Countries citing papers authored by Tai Hoon Kim
This map shows the geographic impact of Tai Hoon 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 Tai Hoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Hoon Kim more than expected).
Fields of papers citing papers by Tai Hoon Kim
This network shows the impact of papers produced by Tai Hoon 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 Tai Hoon Kim. The network helps show where Tai Hoon Kim may publish in the future.
Co-authorship network of co-authors of Tai Hoon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tai Hoon Kim. A scholar is included among the top collaborators of Tai Hoon Kim 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 Tai Hoon Kim. Tai Hoon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 25 | |
| 3 | 13 | |
| 4 | 75 | |
| 5 | 33 | |
| 6 | 68 | |
| 7 | Classifying Unsolicited Bulk Email (UBE) using Python Machine Learning Techniques | 11 |
| 8 | 4 | |
| 9 | 13 | |
| 10 | Signal Processing and Multimedia | 1 |
| 11 | 14 | |
| 12 | 12 | |
| 13 | Grid and Distributed Computing: International Conference, GDC 2009, Held as Part of the Future Generation Information Technology Conferences, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings: Preface | 2 |
| 14 | 19 | |
| 15 | 20 |
About Tai Hoon Kim
Tai Hoon Kim is a scholar working on Aging, Health Information Management and Periodontics, having authored 15 papers that have together received 311 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Probiotics and Fermented Foods (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Aging (32 citations), Food Science (52 citations) and Physiology (69 citations). Tai Hoon Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyun Ho Jung, Yeung‐Hyen Kim, Woo Jin Choi, Jin Won Cho, Jaegal Shim, Sunghoon Kim, Sabah Mohammed, Jinan Fiaidhi, Ju‐Young Park and Egon Sohn. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.
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.