Byoung-Kee Yi
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Christos FaloutsosH. V. JagadishNicholas D. SidiropoulosEunju KimGary Geunbae LeeEdward KimSeung-won HwangSeung Woo Park
- Topics
- Electronic Health Records Systems (7 papers)Biomedical Text Mining and Ontologies (6 papers)Time Series Analysis and Forecasting (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesJournal of Medical Internet Research
- Partner nations
- South KoreaUnited States
In The Last Decade
Byoung-Kee Yi
29 papers receiving 799 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Signal Processing 540
- Artificial Intelligence 341
- Computer Networks and Communications 143
- Computer Vision and Pattern Recognition 137
- Information Systems 90
Countries citing papers authored by Byoung-Kee Yi
This map shows the geographic impact of Byoung-Kee Yi'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 Byoung-Kee Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byoung-Kee Yi more than expected).
Fields of papers citing papers by Byoung-Kee Yi
This network shows the impact of papers produced by Byoung-Kee Yi. 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 Byoung-Kee Yi. The network helps show where Byoung-Kee Yi may publish in the future.
Co-authorship network of co-authors of Byoung-Kee Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Byoung-Kee Yi. A scholar is included among the top collaborators of Byoung-Kee Yi 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 Byoung-Kee Yi. Byoung-Kee Yi 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 | 9 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 18 | |
| 10 | 67 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 41 | |
| 15 | 4 | |
| 16 | Development tool for generating optimized HL7 libraries for embedded medical devices. | 1 |
| 17 | 2 | |
| 18 | 28 | |
| 19 | 110 | |
| 20 | 7 |
About Byoung-Kee Yi
Byoung-Kee Yi is a scholar working on Health Information Management, Health Informatics and Signal Processing, having authored 29 papers that have together received 866 indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Signal Processing (540 citations), Artificial Intelligence (341 citations) and Transportation (66 citations). Byoung-Kee Yi has collaborated with scholars based in South Korea and United States. Frequent co-authors include Christos Faloutsos, H. V. Jagadish, Nicholas D. Sidiropoulos, Eunju Kim, Gary Geunbae Lee, Edward Kim, Seung-won Hwang, Seung Woo Park, Jong‐Hwan Park and Jong Soo Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Journal of Medical Internet 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.