Youngeun Kwon
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Hardware and Architecture top 5%
- Co-authors
- Minsoo RhuY. LeeJohn Kim
- Topics
- Parallel Computing and Optimization Techniques (5 papers)Ferroelectric and Negative Capacitance Devices (4 papers)Advanced Neural Network Applications (3 papers)
- Partner nations
- South KoreaCanada
In The Last Decade
Youngeun Kwon
8 papers receiving 296 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 132
- Artificial Intelligence 119
- Electrical and Electronic Engineering 115
- Information Systems 99
- Hardware and Architecture 96
Countries citing papers authored by Youngeun Kwon
This map shows the geographic impact of Youngeun Kwon'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 Youngeun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngeun Kwon more than expected).
Fields of papers citing papers by Youngeun Kwon
This network shows the impact of papers produced by Youngeun Kwon. 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 Youngeun Kwon. The network helps show where Youngeun Kwon may publish in the future.
Co-authorship network of co-authors of Youngeun Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Youngeun Kwon. A scholar is included among the top collaborators of Youngeun Kwon 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 Youngeun Kwon. Youngeun Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 18 | |
| 4 | 67 | |
| 5 | 146 | |
| 6 | 12 | |
| 7 | 31 | |
| 8 | 13 |
About Youngeun Kwon
Youngeun Kwon is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Hardware and Architecture (96 citations) and Computer Networks and Communications (132 citations). Youngeun Kwon has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Minsoo Rhu, Y. Lee and John Kim. Their work appears in journals such as IEEE Micro and IEEE Computer Architecture Letters.
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.