Sung Woo Chung
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 65
- Embedded Systems Design Techniques 13
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- Interconnection Networks and Systems 23
- Advanced Data Storage Technologies 20
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- Low-power high-performance VLSI design 22
- Green IT and Sustainability 14
- Advanced Memory and Neural Computing 12
- 3D IC and TSV technologies 10
- Information Systems top 5%
Sung Woo Chung
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Hardware and Architecture 560
- Computer Networks and Communications 481
- Electrical and Electronic Engineering 647
- Information Systems 136
- Automotive Engineering 43
Countries citing papers authored by Sung Woo Chung
This map shows the geographic impact of Sung Woo Chung'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 Sung Woo Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Woo Chung more than expected).
Fields of papers citing papers by Sung Woo Chung
This network shows the impact of papers produced by Sung Woo Chung. 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 Sung Woo Chung. The network helps show where Sung Woo Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung Woo Chung, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 27 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 7 | |
| 12 | Thermal-aware Duplicated Filter Cache for Improving Processor Reliability. | 2010 | 1 |
| 13 | 2009 | 23 | |
| 14 | 2009 | 7 | |
| 15 | Adopting the Banked Register Files for Temperature-Aware Microprocessors | 2007 | 1 |
| 16 | ARM1136 Processor Simulator Design for Embedded System Design | 2004 | 2 |
| 17 | A Low-Power Branch Predictor for Embedded Processors | 2004 | 0 |
| 18 | Reliability and Validity of the Korean Version of Revised form of Hasegawa Dementia Scale (K-HDS) | 2004 | 8 |
| 19 | A second-level cache with the distance-aware replacement policy for NUMA systems | 2002 | 1 |
| 20 | 2001 | 18 |
About Sung Woo Chung
Sung Woo Chung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (65 papers), Interconnection Networks and Systems (23 papers), Low-power high-performance VLSI design (22 papers), Advanced Data Storage Technologies (20 papers), Green IT and Sustainability (14 papers), Embedded Systems Design Techniques (13 papers), Advanced Memory and Neural Computing (12 papers) and 3D IC and TSV technologies (10 papers). The work is most often cited by research in Hardware and Architecture (560 citations), Computer Networks and Communications (481 citations) and Electrical and Electronic Engineering (647 citations). Sung Woo Chung has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joonho Kong, Kevin Skadron, Young Geun Kim, Eui-Young Chung, Naehyuck Chang, Jong Lee, Jae‐Min Kim, Cheol Hong Kim, DongHwa Shin and Young Seo Lee. Their work appears in journals such as IEEE Transactions on Computers, IEEE Access, ETRI Journal, SAE technical papers on CD-ROM/SAE technical paper series and Computer.
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.