Ki-Hyeon Park
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Networks and Communications
- Mechanical Engineering
- Co-authors
- Hong‐Yeop SongSolomon W. GolombDae San KimMinjae KimJin‐Soo ParkSeong‐Hoon JeongJung-Hyun KimBongkoo Kang
- Topics
- Particle Accelerators and Free-Electron Lasers (10 papers)Particle accelerators and beam dynamics (9 papers)Superconducting Materials and Applications (6 papers)
- Cited by
- Computational Theory and MathematicsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Industrial ElectronicsJournal of the Korean Physical Society
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Ki-Hyeon Park
19 papers receiving 53 citations
Peers
Comparison fields: 5 of 34
- Electrical and Electronic Engineering 41
- Artificial Intelligence 17
- Computational Theory and Mathematics 15
- Computer Networks and Communications 11
- Mechanical Engineering 9
Countries citing papers authored by Ki-Hyeon Park
This map shows the geographic impact of Ki-Hyeon Park'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 Ki-Hyeon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki-Hyeon Park more than expected).
Fields of papers citing papers by Ki-Hyeon Park
This network shows the impact of papers produced by Ki-Hyeon Park. 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 Ki-Hyeon Park. The network helps show where Ki-Hyeon Park may publish in the future.
Co-authorship network of co-authors of Ki-Hyeon Park
This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Hyeon Park. A scholar is included among the top collaborators of Ki-Hyeon Park 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 Ki-Hyeon Park. Ki-Hyeon Park 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | Design of LPI signals using optimal families of perfect polyphase sequences | 2 |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 3 |
About Ki-Hyeon Park
Ki-Hyeon Park is a scholar working on Structural Biology, Radiation and Algebra and Number Theory, having authored 27 papers that have together received 59 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (10 papers), Particle accelerators and beam dynamics (9 papers) and Superconducting Materials and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (15 citations), Electrical and Electronic Engineering (41 citations) and Artificial Intelligence (17 citations). Ki-Hyeon Park has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Hong‐Yeop Song, Solomon W. Golomb, Dae San Kim, Minjae Kim, Jin‐Soo Park, Seong‐Hoon Jeong, Jung-Hyun Kim, Bongkoo Kang, Dong Eon Kim and Hong-Gi Lee. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Industrial Electronics and Journal of the Korean Physical Society.
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.