JaeWoong Chung
- Computer Networks and Communications top 0.5%
- Hardware and Architecture top 0.5%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Christos KozyrakisChi Cao MinhKunle OlukotunAusten McDonaldHassan ChafiBrian D. CarlstromMartin TrautmannJared Casper
- Topics
- Distributed systems and fault tolerance (25 papers)Parallel Computing and Optimization Techniques (25 papers)Advanced Data Storage Technologies (21 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsExperimental and Cognitive Psychology
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
JaeWoong Chung
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 1.5k
- Hardware and Architecture 1.3k
- Experimental and Cognitive Psychology 355
- Artificial Intelligence 154
- Electrical and Electronic Engineering 112
Countries citing papers authored by JaeWoong Chung
This map shows the geographic impact of JaeWoong 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 JaeWoong Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JaeWoong Chung more than expected).
Fields of papers citing papers by JaeWoong Chung
This network shows the impact of papers produced by JaeWoong 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 JaeWoong Chung. The network helps show where JaeWoong Chung may publish in the future.
Co-authorship network of co-authors of JaeWoong Chung
This figure shows the co-authorship network connecting the top 25 collaborators of JaeWoong Chung. A scholar is included among the top collaborators of JaeWoong Chung 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 JaeWoong Chung. JaeWoong Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 57 | |
| 3 | 42 | |
| 4 | 3 | |
| 5 | STAMP: Stanford Transactional Applications for Multi-Processingbreakdown → | 571 |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 195 | |
| 9 | 61 | |
| 10 | 84 | |
| 11 | 89 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 102 | |
| 16 | 3 | |
| 17 | 93 | |
| 18 | 17 | |
| 19 | 52 | |
| 20 | 4 |
About JaeWoong Chung
JaeWoong Chung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (25 papers), Parallel Computing and Optimization Techniques (25 papers) and Advanced Data Storage Technologies (21 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Networks and Communications (1.5k citations) and Experimental and Cognitive Psychology (355 citations). JaeWoong Chung has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Christos Kozyrakis, Chi Cao Minh, Kunle Olukotun, Austen McDonald, Hassan Chafi, Brian D. Carlstrom, Martin Trautmann, Jared Casper, Nathan Bronson and Lance Hammond. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro and IEEE Transactions on Services Computing.
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.