Hyong Kim
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Surgery
- Signal Processing top 10%
- Co-authors
- Daniel VargoKevin J. BruenHui ZhangGeorge NychisDavid G. AndersenVyas SekarStefanie KrickOleksandr Platoshyn
- Topics
- Network Security and Intrusion Detection (7 papers)Peer-to-Peer Network Technologies (6 papers)Image and Video Quality Assessment (6 papers)
- Journals
- CirculationIEEE Journal on Selected Areas in CommunicationsAmerican Journal of Physiology-Cell Physiology
- Partner nations
- United StatesPortugalSaudi Arabia
In The Last Decade
Hyong Kim
25 papers receiving 704 citations
Peers
Comparison fields: 5 of 105
- Computer Networks and Communications 290
- Artificial Intelligence 227
- Molecular Biology 174
- Surgery 150
- Signal Processing 101
Countries citing papers authored by Hyong Kim
This map shows the geographic impact of Hyong 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 Hyong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyong Kim more than expected).
Fields of papers citing papers by Hyong Kim
This network shows the impact of papers produced by Hyong 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 Hyong Kim. The network helps show where Hyong Kim may publish in the future.
Co-authorship network of co-authors of Hyong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyong Kim. A scholar is included among the top collaborators of Hyong 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 Hyong Kim. Hyong 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | How to tame your VMs: an automated control system for virtualized services | 11 |
| 15 | 45 | |
| 16 | 13 | |
| 17 | 145 | |
| 18 | 83 | |
| 19 | 10 | |
| 20 | 3 |
About Hyong Kim
Hyong Kim is a scholar working on Computer Networks and Communications, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 731 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Peer-to-Peer Network Technologies (6 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Computer Networks and Communications (290 citations), Signal Processing (101 citations) and Artificial Intelligence (227 citations). Hyong Kim has collaborated with scholars based in United States, Portugal and Saudi Arabia. Frequent co-authors include Daniel Vargo, Kevin J. Bruen, Hui Zhang, George Nychis, David G. Andersen, Vyas Sekar, Stefanie Krick, Oleksandr Platoshyn, Michèle Sweeney and Jason X.‐J. Yuan. Their work appears in journals such as Circulation, IEEE Journal on Selected Areas in Communications and American Journal of Physiology-Cell Physiology.
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.