Doe Hyun Yoon
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Co-authors
- Mattan ErezNorman P. JouppiMin Kyu JeongJichuan ChangJames LaudonDavid A. PattersonNishant PatilGeorge Thomas Kurian
- Topics
- Parallel Computing and Optimization Techniques (21 papers)Radiation Effects in Electronics (12 papers)Advanced Data Storage Technologies (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMACM SIGPLAN Notices
- Partner nations
- United StatesSouth Korea
In The Last Decade
Doe Hyun Yoon
30 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Hardware and Architecture 1.1k
- Computer Networks and Communications 985
- Electrical and Electronic Engineering 820
- Artificial Intelligence 224
- Information Systems 159
Countries citing papers authored by Doe Hyun Yoon
This map shows the geographic impact of Doe Hyun Yoon'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 Doe Hyun Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doe Hyun Yoon more than expected).
Fields of papers citing papers by Doe Hyun Yoon
This network shows the impact of papers produced by Doe Hyun Yoon. 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 Doe Hyun Yoon. The network helps show where Doe Hyun Yoon may publish in the future.
Co-authorship network of co-authors of Doe Hyun Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Doe Hyun Yoon. A scholar is included among the top collaborators of Doe Hyun Yoon 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 Doe Hyun Yoon. Doe Hyun Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Local checkpointing using a multi-level cell | 0 |
| 2 | 72 | |
| 3 | Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Productbreakdown → | 199 |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 198 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 45 | |
| 12 | 9 | |
| 13 | 119 | |
| 14 | 144 | |
| 15 | 83 | |
| 16 | 89 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 5 | |
| 20 | 6 |
About Doe Hyun Yoon
Doe Hyun Yoon is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Radiation Effects in Electronics (12 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Networks and Communications (985 citations) and Computational Mathematics (10 citations). Doe Hyun Yoon has collaborated with scholars based in United States and South Korea. Frequent co-authors include Mattan Erez, Norman P. Jouppi, Min Kyu Jeong, Jichuan Chang, James Laudon, David A. Patterson, Nishant Patil, George Thomas Kurian, Cliff Young and Jishen Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM SIGPLAN Notices.
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.