Doe Hyun Yoon

7.8k total citations · 1 hit paper
31 papers, 1.6k citations indexed

About

Doe Hyun Yoon is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Doe Hyun Yoon has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 17 papers in Computer Networks and Communications and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Doe Hyun Yoon's work include Parallel Computing and Optimization Techniques (21 papers), Radiation Effects in Electronics (12 papers) and Advanced Data Storage Technologies (12 papers). Doe Hyun Yoon is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Radiation Effects in Electronics (12 papers) and Advanced Data Storage Technologies (12 papers). Doe Hyun Yoon collaborates with scholars based in United States and South Korea. Doe Hyun Yoon's co-authors include Mattan Erez, Norman P. Jouppi, Min Kyu Jeong, Jichuan Chang, Nishant Patil, Cliff Young, James Laudon, George Thomas Kurian, David A. Patterson and Jishen Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM SIGPLAN Notices.

In The Last Decade

Doe Hyun Yoon

30 papers receiving 1.5k citations

Hit Papers

Ten Lessons From Three Generations Shaped Google’s TPUv4i... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product
    2021 199 citations Norman P. Jouppi, Doe Hyun Yoon et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Doe Hyun Yoon United States 20 1.1k 985 820 224 159 31 1.6k
Jason Miller United States 16 1.2k 1.1× 1.3k 1.3× 811 1.0× 164 0.7× 198 1.2× 35 1.8k
Renée St. Amant United States 9 1.3k 1.2× 952 1.0× 1.1k 1.4× 189 0.8× 261 1.6× 11 2.0k
Emily Blem United States 11 1.4k 1.3× 1.1k 1.1× 1.1k 1.3× 185 0.8× 307 1.9× 14 2.1k
Michael Papamichael United States 12 964 0.9× 886 0.9× 483 0.6× 207 0.9× 220 1.4× 20 1.4k
Joseph L. Greathouse United States 15 808 0.7× 680 0.7× 351 0.4× 142 0.6× 187 1.2× 34 1.0k
Rachata Ausavarungnirun United States 25 1.7k 1.5× 1.6k 1.6× 899 1.1× 252 1.1× 400 2.5× 64 2.2k
Samira Khan United States 25 1.7k 1.5× 1.5k 1.5× 1.1k 1.3× 250 1.1× 336 2.1× 57 2.2k
Niladrish Chatterjee United States 21 1.1k 1.1× 1.0k 1.0× 624 0.8× 145 0.6× 265 1.7× 31 1.5k
Nuwan Jayasena United States 18 1.2k 1.1× 1.1k 1.1× 417 0.5× 127 0.6× 238 1.5× 33 1.5k
Trevor E. Carlson Singapore 16 1.2k 1.1× 1.0k 1.0× 546 0.7× 150 0.7× 199 1.3× 75 1.5k

Countries citing papers authored by Doe Hyun Yoon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Yoon, Doe Hyun. (2023). Local checkpointing using a multi-level cell. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Patil, Nishant, Doe Hyun Yoon, George Thomas Kurian, et al.. (2021). The Design Process for Google's Training Chips: TPUv2 and TPUv3. IEEE Micro. 41(2). 56–63. 72 indexed citations
3.
Jouppi, Norman P., Doe Hyun Yoon, Mark Gottscho, et al.. (2021). Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product. 1–14. 199 indexed citations breakdown →
4.
Patil, Nishant, Doe Hyun Yoon, George Thomas Kurian, et al.. (2020). Google's Training Chips Revealed: TPUv2 and TPUv3. 1–70. 24 indexed citations
5.
Sullivan, Michael B., et al.. (2013). Containment Domains: A Scalable, Efficient and Flexible Resilience Scheme for Exascale Systems. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Sullivan, Michael B., et al.. (2013). Containment Domains: A Scalable, Efficient and Flexible Resilience Scheme for Exascale Systems. Scientific Programming. 21(3-4). 197–212. 4 indexed citations
7.
Zhao, Jishen, et al.. (2013). Kiln. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 421–432. 198 indexed citations
8.
Yoon, Doe Hyun, Jichuan Chang, Naveen Muralimanohar, & Parthasarathy Ranganathan. (2012). BOOM: Enabling mobile memory based low-power server DIMMs. 25–36. 22 indexed citations
9.
Yoon, Doe Hyun, Min Kyu Jeong, Michael B. Sullivan, & Mattan Erez. (2012). The dynamic granularity memory system. ACM SIGARCH Computer Architecture News. 40(3). 548–559. 45 indexed citations
10.
Yoon, Doe Hyun, Naveen Muralimanohar, Jichuan Chang, et al.. (2012). Free-p: A Practical End-to-End Nonvolatile Memory Protection Mechanism. IEEE Micro. 32(3). 79–87. 1 indexed citations
11.
Li, Sheng, Doe Hyun Yoon, Ke Chen, et al.. (2012). MAGE: Adaptive Granularity and ECC for resilient and power efficient memory systems. 1–11. 9 indexed citations
12.
Jeong, Min Kyu, et al.. (2012). Balancing DRAM locality and parallelism in shared memory CMP systems. 1–12. 119 indexed citations
13.
Yoon, Doe Hyun, et al.. (2012). Exploring latency-power tradeoffs in deep nonvolatile memory hierarchies. 95–102. 5 indexed citations
14.
Yoon, Doe Hyun, Naveen Muralimanohar, Jichuan Chang, et al.. (2011). FREE-p: Protecting non-volatile memory against both hard and soft errors. 466–477. 144 indexed citations
15.
Yoon, Doe Hyun & Mattan Erez. (2010). Virtualized ECC: Flexible Reliability in Main Memory. IEEE Micro. 31(1). 11–19. 24 indexed citations
16.
Yoon, Doe Hyun & Mattan Erez. (2010). Virtualized and flexible ECC for main memory. ACM SIGARCH Computer Architecture News. 38(1). 397–408. 83 indexed citations
17.
Yoon, Doe Hyun & Mattan Erez. (2010). Virtualized and flexible ECC for main memory. ACM SIGPLAN Notices. 45(3). 397–408. 9 indexed citations
18.
Yoon, Doe Hyun & Mattan Erez. (2010). Virtualized and flexible ECC for main memory. 397–408. 89 indexed citations
19.
Yoon, Doe Hyun & Mattan Erez. (2009). Memory mapped ECC. 116–127. 109 indexed citations
20.
Yoon, Doe Hyun, et al.. (2004). Spiral intra macroblock refresh with motion vector restriction for low bit-rate video telephony over a 3G network. IEEE Transactions on Consumer Electronics. 50(4). 1038–1043. 5 indexed citations

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.

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