Woosuk Kwon

1.2k total citations · 1 hit paper
5 papers, 471 citations indexed

About

Woosuk Kwon is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Woosuk Kwon has authored 5 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Woosuk Kwon's work include Parallel Computing and Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Data Storage Technologies (1 paper). Woosuk Kwon is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Data Storage Technologies (1 paper). Woosuk Kwon collaborates with scholars based in South Korea and United States. Woosuk Kwon's co-authors include Cody Hao Yu, Ion Stoica, Siyuan Zhuang, Joseph E. Gonzalez, L Zheng, Ying Sheng, Jung Ho Ahn, Eojin Lee, Jae W. Lee and Tae Jun Ham and has published in prestigious journals such as IEEE Transactions on Broadcasting, arXiv (Cornell University) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Woosuk Kwon

5 papers receiving 452 citations

Hit Papers

Efficient Memory Management for Large Language Model Serv... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woosuk Kwon South Korea 5 236 101 91 86 86 5 471
Murali Emani United States 11 118 0.5× 143 1.4× 110 1.2× 131 1.5× 62 0.7× 37 403
Sung Y. Shin United States 10 154 0.7× 152 1.5× 77 0.8× 28 0.3× 48 0.6× 61 376
Jiaxing Zhang China 10 316 1.3× 101 1.0× 132 1.5× 28 0.3× 25 0.3× 32 504
Myungho Lee South Korea 12 141 0.6× 100 1.0× 49 0.5× 80 0.9× 51 0.6× 52 408
Lucian Vinţan Romania 11 118 0.5× 139 1.4× 63 0.7× 164 1.9× 97 1.1× 52 364
Xupeng Miao China 16 415 1.8× 129 1.3× 257 2.8× 66 0.8× 43 0.5× 44 617
Yisroel Mirsky Israel 8 190 0.8× 127 1.3× 61 0.7× 32 0.4× 59 0.7× 28 390
He Yan United States 12 217 0.9× 414 4.1× 137 1.5× 28 0.3× 114 1.3× 40 556
Qinglei Zhou China 9 122 0.5× 87 0.9× 46 0.5× 22 0.3× 32 0.4× 69 283

Countries citing papers authored by Woosuk Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Woosuk Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woosuk Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Woosuk Kwon. A scholar is included among the top collaborators of Woosuk Kwon 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 Woosuk Kwon. Woosuk Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Kwon, Woosuk, Siyuan Zhuang, Ying Sheng, et al.. (2023). Efficient Memory Management for Large Language Model Serving with PagedAttention. 611–626. 329 indexed citations breakdown →
2.
Kim, Sehoon, Sheng Shen, David Thorsley, et al.. (2022). Learned Token Pruning for Transformers. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 784–794. 49 indexed citations
3.
Kwon, Woosuk, et al.. (2020). Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. arXiv (Cornell University). 33. 8343–8354. 7 indexed citations
4.
Kwon, Woosuk, et al.. (2020). Graphene: Strong yet Lightweight Row Hammer Protection. 1–13. 75 indexed citations
5.
Kwon, Woosuk, et al.. (2016). The ATSC Link-layer Protocol (ALP): Design and Efficiency Evaluation. IEEE Transactions on Broadcasting. 62(1). 316–327. 11 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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