Hyojong Kim
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
-
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
-
- Parallel Computing and Optimization Techniques 12
-
- Advanced Data Storage Technologies 7
- Interconnection Networks and Systems 2
- Caching and Content Delivery 2
- Co-authors
- Hyesoon KimRamyad HadidiJaewoong SimLifeng NaiPrasun GeraDavid A. BaderJoo Hwan LeeArun Rodrigues
- Journals
- Journal of Parallel and Distributed Computing (1 paper)IEEE Micro (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Electron Device Letters (1 paper)Scientific Programming (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Hyojong Kim
15 papers receiving 395 citations
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 273
- Computer Networks and Communications 235
- Computer Vision and Pattern Recognition 129
- Information Systems 83
- Computational Mathematics 2
Countries citing papers authored by Hyojong Kim
This map shows the geographic impact of Hyojong 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 Hyojong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyojong Kim more than expected).
Fields of papers citing papers by Hyojong Kim
This network shows the impact of papers produced by Hyojong 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 Hyojong Kim. The network helps show where Hyojong Kim may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Hyojong Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2020 | 34 | |
| 3 | Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. | 2020 | 1 |
| 4 | 2019 | 3 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 17 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 183 | |
| 10 | 2015 | 10 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 8 | |
| 15 | 2010 | 14 |
About Hyojong Kim
Hyojong Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (7 papers), Advanced Memory and Neural Computing (5 papers), Cloud Computing and Resource Management (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Interconnection Networks and Systems (2 papers), Caching and Content Delivery (2 papers) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (273 citations), Computer Networks and Communications (235 citations), Computer Vision and Pattern Recognition (129 citations), Information Systems (83 citations) and Computational Mathematics (2 citations). Hyojong Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hyesoon Kim, Ramyad Hadidi, Jaewoong Sim, Lifeng Nai, Prasun Gera, David A. Bader, Joo Hwan Lee, Arun Rodrigues, Sudhakar Yalamanchili and Chi-Keung Luk. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Micro, Proceedings of the VLDB Endowment, IEEE Electron Device Letters and Scientific Programming.
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.