Donghyuk Lee

6.4k total citations · 3 hit papers
44 papers, 3.7k citations indexed

About

Donghyuk Lee is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Donghyuk Lee has authored 44 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hardware and Architecture, 27 papers in Computer Networks and Communications and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Donghyuk Lee's work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (25 papers) and Advanced Memory and Neural Computing (14 papers). Donghyuk Lee is often cited by papers focused on Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (25 papers) and Advanced Memory and Neural Computing (14 papers). Donghyuk Lee collaborates with scholars based in United States, Switzerland and United Kingdom. Donghyuk Lee's co-authors include Onur Mutlu, Yoongu Kim, Vivek Seshadri, Samira Khan, Chris Wilkerson, Jeremie Kim, Chris Fallin, Gennady Pekhimenko, Saugata Ghose and Ross Daly and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Computer Systems and IEEE Micro.

In The Last Decade

Donghyuk Lee

44 papers receiving 3.5k citations

Hit Papers

Flipping bits in memory without accessing them 2013 2026 2017 2021 2014 2017 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghyuk Lee United States 29 2.4k 2.2k 1.8k 912 384 44 3.7k
Reetuparna Das United States 33 2.1k 0.9× 2.1k 1.0× 2.2k 1.2× 670 0.7× 237 0.6× 99 3.8k
Bruce Jacob United States 32 3.0k 1.3× 1.4k 0.6× 2.7k 1.5× 443 0.5× 535 1.4× 107 4.0k
Joel Hestness United States 11 3.2k 1.4× 1.9k 0.9× 2.9k 1.6× 520 0.6× 302 0.8× 18 4.3k
Paolo Ienne Switzerland 31 2.8k 1.2× 2.0k 0.9× 1.6k 0.9× 777 0.9× 116 0.3× 240 4.3k
Sherief Reda United States 32 1.7k 0.7× 2.4k 1.1× 635 0.3× 283 0.3× 302 0.8× 153 3.2k
Ken Mai United States 30 2.5k 1.1× 2.4k 1.1× 2.5k 1.4× 408 0.4× 157 0.4× 100 4.3k
Sudhakar Yalamanchili United States 29 1.8k 0.8× 999 0.5× 1.9k 1.1× 258 0.3× 441 1.1× 130 2.8k
Daniel Ernst United States 9 4.4k 1.9× 2.7k 1.2× 2.7k 1.5× 648 0.7× 337 0.9× 30 5.6k
Rathijit Sen United States 13 2.9k 1.2× 1.7k 0.8× 2.6k 1.4× 444 0.5× 367 1.0× 36 3.8k
Али Саиди United States 17 3.5k 1.5× 2.0k 0.9× 3.2k 1.8× 430 0.5× 463 1.2× 37 4.5k

Countries citing papers authored by Donghyuk Lee

Since Specialization
Citations

This map shows the geographic impact of Donghyuk Lee'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 Donghyuk Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghyuk Lee more than expected).

Fields of papers citing papers by Donghyuk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donghyuk Lee. 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 Donghyuk Lee. The network helps show where Donghyuk Lee may publish in the future.

Co-authorship network of co-authors of Donghyuk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyuk Lee. A scholar is included among the top collaborators of Donghyuk Lee 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 Donghyuk Lee. Donghyuk Lee 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.
Pellauer, Michael, Jason Clemons, Neal Crago, et al.. (2023). Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Transactions on Computer Systems. 41(1-4). 1–30. 6 indexed citations
2.
O’Connor, Mike, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, & Stephen W. Keckler. (2022). Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. 1001–1013. 7 indexed citations
3.
Sullivan, Michael B., N.R. Saxena, Mike O’Connor, et al.. (2021). Characterizing and Mitigating Soft Errors in GPU DRAM. ePubs (Science and Technology Facilities Council, Research Councils UK). 641–653. 23 indexed citations
4.
Lee, Donghyuk, et al.. (2020). MIORPA: Middleware System for Open-Source Robotic Process Automation. Journal of Computing Science and Engineering. 14(1). 19–25. 3 indexed citations
5.
Lee, Donghyuk, Mike O’Connor, & Niladrish Chatterjee. (2018). Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. 40–51. 20 indexed citations
6.
Ghose, Saugata, A. Giray Yağlıkçı, Raghav Gupta, et al.. (2018). What Your DRAM Power Models Are Not Telling You. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(3). 1–41. 32 indexed citations
7.
Seshadri, Vivek, Yoongu Kim, Chris Fallin, et al.. (2018). RowClone: Fast and Efficient In-DRAM Copy and Initialization of Bulk Data. Figshare. 2 indexed citations
8.
Chatterjee, Niladrish, Mike O’Connor, Donghyuk Lee, et al.. (2017). Architecting an Energy-Efficient DRAM System for GPUs. 73–84. 68 indexed citations
9.
Hassan, Hasan, Gennady Pekhimenko, Nandita Vijaykumar, et al.. (2016). ChargeCache: Reducing DRAM latency by exploiting row access locality. Edinburgh Research Explorer. 581–593. 91 indexed citations
10.
Lee, Donghyuk, Saugata Ghose, Gennady Pekhimenko, Samira Khan, & Onur Mutlu. (2016). Simultaneous Multi-Layer Access. ACM Transactions on Architecture and Code Optimization. 12(4). 1–29. 77 indexed citations
11.
Chang, Kevin K., Hasan Hassan, Saugata Ghose, et al.. (2016). Understanding Latency Variation in Modern DRAM Chips. ACM SIGMETRICS Performance Evaluation Review. 44(1). 323–336. 25 indexed citations
12.
Chang, Kevin K., Prashant J. Nair, Donghyuk Lee, et al.. (2016). Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM. 568–580. 143 indexed citations
13.
Khan, Samira, Chris Wilkerson, Donghyuk Lee, Alaa R. Alameldeen, & Onur Mutlu. (2016). A Case for Memory Content-Based Detection and Mitigation of Data-Dependent Failures in DRAM. IEEE Computer Architecture Letters. 16(2). 88–93. 41 indexed citations
14.
Chang, Kevin K., Hasan Hassan, Saugata Ghose, et al.. (2016). Understanding Latency Variation in Modern DRAM Chips. 323–336. 99 indexed citations
15.
Lee, Donghyuk, Yoongu Kim, Gennady Pekhimenko, et al.. (2015). Adaptive-latency DRAM: Optimizing DRAM timing for the common-case. Figshare. 489–501. 145 indexed citations
16.
Seshadri, Vivek, Kevin Hsieh, Amirali Boroumand, et al.. (2015). Fast Bulk Bitwise AND and OR in DRAM. IEEE Computer Architecture Letters. 14(2). 127–131. 137 indexed citations
17.
Lee, Donghyuk, Lavanya Subramanian, Rachata Ausavarungnirun, Jongmoo Choi, & Onur Mutlu. (2015). Decoupled Direct Memory Access: Isolating CPU and IO Traffic by Leveraging a Dual-Data-Port DRAM. 174–187. 68 indexed citations
18.
Kim, Yoongu, Ross Daly, Jeremie Kim, et al.. (2014). Flipping bits in memory without accessing them: An experimental study of DRAM disturbance errors. 361–372. 258 indexed citations
19.
Seshadri, Vivek, Yoongu Kim, Chris Fallin, et al.. (2013). RowClone. 185–197. 234 indexed citations breakdown →
20.
Lee, Hocheol, Donghyuk Lee, Jin-Guk Kim, et al.. (2011). 28.5 A 1.2V 12.8GB/s 2Gb Mobile Wide-I/O DRAM with 4×128 I/Os Using TSV-Based Stacking. 30 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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