KiYoung Lee
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Genetics top 5%
- Computer Networks and Communications top 5%
- Cell Biology top 10%
- Co-authors
- Doheon LeeTrey IdekerT. J. KimDhiman BarmanMarina FomenkovMichalis Faloutsoskc claffyKwang H. Lee
- Topics
- Machine Learning in Bioinformatics (4 papers)Bioinformatics and Genomic Networks (4 papers)Face and Expression Recognition (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
KiYoung Lee
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 749
- Artificial Intelligence 449
- Genetics 380
- Computer Networks and Communications 359
- Cell Biology 202
Countries citing papers authored by KiYoung Lee
This map shows the geographic impact of KiYoung Lee'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 KiYoung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KiYoung Lee more than expected).
Fields of papers citing papers by KiYoung Lee
This network shows the impact of papers produced by KiYoung Lee. 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 KiYoung Lee. The network helps show where KiYoung Lee may publish in the future.
Co-authorship network of co-authors of KiYoung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of KiYoung Lee. A scholar is included among the top collaborators of KiYoung Lee 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 KiYoung Lee. KiYoung Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 32 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 16 | |
| 9 | 43 | |
| 10 | 67 | |
| 11 | 11 | |
| 12 | 428 | |
| 13 | 23 | |
| 14 | 111 | |
| 15 | 59 | |
| 16 | 1 | |
| 17 | Internet traffic classification demystifiedbreakdown → | 367 |
| 18 | 32 | |
| 19 | 40 | |
| 20 | 7 |
About KiYoung Lee
KiYoung Lee is a scholar working on Developmental Neuroscience, Neurology and Virology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (359 citations), Artificial Intelligence (449 citations) and Genetics (380 citations). KiYoung Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Doheon Lee, Trey Ideker, T. J. Kim, Dhiman Barman, Marina Fomenkov, Michalis Faloutsos, kc claffy, Kwang H. Lee, Keiichiro Ono and Eigo Suyama. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.