Sunpyo Hong
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 8
- VLSI and Analog Circuit Testing 1
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 5
- Interconnection Networks and Systems 2
- Co-authors
- Hyesoon KimChi-Keung LukMelanie KambadurMartha A. KimHarish PatilPrasun GeraHyojong KimP.E. Allen
- Journals
- ACM SIGARCH Computer Architecture News (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sunpyo Hong
9 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 1.2k
- Computer Networks and Communications 1.1k
- Information Systems 366
- Computer Vision and Pattern Recognition 142
- Computer Graphics and Computer-Aided Design 20
Countries citing papers authored by Sunpyo Hong
This map shows the geographic impact of Sunpyo Hong'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 Sunpyo Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunpyo Hong more than expected).
Fields of papers citing papers by Sunpyo Hong
This network shows the impact of papers produced by Sunpyo Hong. 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 Sunpyo Hong. The network helps show where Sunpyo Hong may publish in the future.
Co-authors
The 8 scholars most cited alongside Sunpyo Hong, 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 | 2018 | 14 | |
| 2 | 2015 | 20 | |
| 3 | Memory-level and Thread-level Parallelism Aware GPU Architecture Performance Analytical Model | 2011 | 2 |
| 4 | 2010 | 100 | |
| 5 | An integrated GPU power and performance model Hit paper breakdown → | 2010 | 342 |
| 6 | Qilin Hit paper breakdown → | 2009 | 345 |
| 7 | An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness Hit paper breakdown → | 2009 | 450 |
| 8 | 2009 | 113 | |
| 9 | 2002 | 3 |
About Sunpyo Hong
Sunpyo Hong is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Infectious Diseases, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Low-power high-performance VLSI design (3 papers), Interconnection Networks and Systems (2 papers), Cloud Computing and Resource Management (2 papers), VLSI and FPGA Design Techniques (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (1.1k citations), Information Systems (366 citations), Computer Vision and Pattern Recognition (142 citations) and Computer Graphics and Computer-Aided Design (20 citations). Sunpyo Hong has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Hyesoon Kim, Chi-Keung Luk, Melanie Kambadur, Martha A. Kim, Harish Patil, Prasun Gera, Hyojong Kim and P.E. Allen. Their work appears in journals such as ACM SIGARCH Computer Architecture News.
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.