Seung-Jun Kim
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 1%
- Signal Processing top 5%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Co-authors
- Georgios B. GiannakisEmiliano Dall’AneseNasim SoltaniDaniel RomeroMohammad MadihianXiaodong WangSilvano PupolinRoberto López-Valcarce
- Topics
- Cognitive Radio Networks and Spectrum Sensing (22 papers)Advanced MIMO Systems Optimization (18 papers)Distributed Sensor Networks and Detection Algorithms (16 papers)
- Cited by
- Computational MathematicsComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- BioinformaticsIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Seung-Jun Kim
85 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 1.2k
- Computer Networks and Communications 845
- Signal Processing 214
- Computational Mechanics 212
- Aerospace Engineering 137
Countries citing papers authored by Seung-Jun Kim
This map shows the geographic impact of Seung-Jun 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 Seung-Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Jun Kim more than expected).
Fields of papers citing papers by Seung-Jun Kim
This network shows the impact of papers produced by Seung-Jun 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 Seung-Jun Kim. The network helps show where Seung-Jun Kim may publish in the future.
Co-authorship network of co-authors of Seung-Jun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Jun Kim. A scholar is included among the top collaborators of Seung-Jun 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 Seung-Jun Kim. Seung-Jun 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 30 | |
| 9 | 88 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 29 | |
| 17 | 4 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 5 |
About Seung-Jun Kim
Seung-Jun Kim is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (22 papers), Advanced MIMO Systems Optimization (18 papers) and Distributed Sensor Networks and Detection Algorithms (16 papers). The work is most often cited by research in Computational Mathematics (27 citations), Computer Networks and Communications (845 citations) and Electrical and Electronic Engineering (1.2k citations). Seung-Jun Kim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Georgios B. Giannakis, Emiliano Dall’Anese, Nasim Soltani, Daniel Romero, Mohammad Madihian, Xiaodong Wang, Silvano Pupolin, Roberto López-Valcarce, Min Cao and Xiaodong Wang. Their work appears in journals such as Bioinformatics, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.