Sang-Woo Jun

622 total citations
31 papers, 455 citations indexed

About

Sang-Woo Jun is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Sang-Woo Jun has authored 31 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 10 papers in Artificial Intelligence. Recurrent topics in Sang-Woo Jun's work include Advanced Data Storage Technologies (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Cloud Computing and Resource Management (8 papers). Sang-Woo Jun is often cited by papers focused on Advanced Data Storage Technologies (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Cloud Computing and Resource Management (8 papers). Sang-Woo Jun collaborates with scholars based in United States, South Korea and Belgium. Sang-Woo Jun's co-authors include Shuotao Xu, Arvind Arvind, Sungjin Lee, Ming Liu, Jamey Hicks, Myron King, Andy Wright, Jihong Kim, Ming Liu and Jinyeong Moon and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Computer Systems and Electronics.

In The Last Decade

Sang-Woo Jun

27 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang-Woo Jun United States 11 342 228 126 100 93 31 455
Kyle Wheeler United States 8 349 1.0× 323 1.4× 144 1.1× 75 0.8× 93 1.0× 15 435
Puneet Kaur India 6 223 0.7× 203 0.9× 108 0.9× 57 0.6× 40 0.4× 15 373
Muhsen Owaida Switzerland 12 290 0.8× 272 1.2× 84 0.7× 118 1.2× 59 0.6× 24 446
David Sidler Switzerland 10 385 1.1× 270 1.2× 149 1.2× 110 1.1× 50 0.5× 18 485
Robert Searles United States 5 306 0.9× 335 1.5× 116 0.9× 46 0.5× 27 0.3× 10 405
Davide B. Bartolini Italy 10 222 0.6× 201 0.9× 177 1.4× 105 1.1× 19 0.2× 24 383
Y. N. Srikant India 13 230 0.7× 326 1.4× 82 0.7× 119 1.2× 28 0.3× 70 476
Norman Rubin United States 13 273 0.8× 348 1.5× 76 0.6× 98 1.0× 35 0.4× 18 445
Kirill Kogan Russia 15 591 1.7× 264 1.2× 109 0.9× 110 1.1× 13 0.1× 60 621

Countries citing papers authored by Sang-Woo Jun

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Woo Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Woo Jun. 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 Sang-Woo Jun. The network helps show where Sang-Woo Jun may publish in the future.

Co-authorship network of co-authors of Sang-Woo Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Woo Jun. A scholar is included among the top collaborators of Sang-Woo Jun 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 Sang-Woo Jun. Sang-Woo Jun 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.
Kang, Seogchan, et al.. (2025). Bancroft: Genomics Acceleration Beyond On-Device Memory. 306–319.
2.
Chen, Jeffrey, et al.. (2024). Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. eScholarship (California Digital Library). 1–6. 2 indexed citations
3.
4.
Xu, Weihong, et al.. (2024). RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing. eScholarship (California Digital Library). 1–5. 2 indexed citations
5.
Jun, Sang-Woo, et al.. (2024). Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery. 1–10. 1 indexed citations
6.
Chen, Jeffrey, et al.. (2023). Eciton: Very Low-power Recurrent Neural Network Accelerator for Real-time Inference at the Edge. ACM Transactions on Reconfigurable Technology and Systems. 17(1). 1–25. 3 indexed citations
7.
8.
Jun, Sang-Woo, et al.. (2023). PreCog: Near-Storage Accelerator for Heterogeneous CNN Inference. 45–52. 1 indexed citations
9.
10.
Jun, Sang-Woo, et al.. (2022). BunchBloomer: Cost-Effective Bloom Filter Accelerator for Genomics Applications. 9–16. 3 indexed citations
11.
Jun, Sang-Woo, et al.. (2022). BurstZ+: Eliminating The Communication Bottleneck of Scientific Computing Accelerators via Accelerated Compression. ACM Transactions on Reconfigurable Technology and Systems. 15(2). 1–34. 7 indexed citations
12.
Kim, Jin-Pyo, et al.. (2021). MithriLog. 434–448. 7 indexed citations
13.
Jun, Sang-Woo, et al.. (2020). BurstZ. 1–12. 6 indexed citations
14.
Jun, Sang-Woo, et al.. (2018). GraFBoost: Using Accelerated Flash Storage for External Graph Analytics. 411–424. 65 indexed citations
15.
Jun, Sang-Woo, Shuotao Xu, & Arvind Arvind. (2017). Terabyte Sort on FPGA-Accelerated Flash Storage. 17–24. 28 indexed citations
16.
Lee, Sungjin, et al.. (2016). Application-managed flash. File and Storage Technologies. 339–353. 49 indexed citations
17.
Liu, Ming, Sang-Woo Jun, Sungjin Lee, Jamey Hicks, & Arvind Arvind. (2016). minFlash: A Minimalistic Clustered Flash Array. 1255–1260. 7 indexed citations
18.
Jun, Sang-Woo, Ming Liu, Sungjin Lee, et al.. (2016). BlueDBM. ACM Transactions on Computer Systems. 34(3). 1–31. 15 indexed citations
19.
Jun, Sang-Woo, Ming Liu, Shuotao Xu, & Arvind Arvind. (2015). A transport-layer network for distributed FPGA platforms. 13 indexed citations
20.
Jun, Sang-Woo, Ming Liu, Kermin Fleming, & Arvind Arvind. (2014). Scalable multi-access flash store for big data analytics. 55–64. 20 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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Breakdown of academic impact, for papers by Kyle Wheeler Breakdown of academic impact, for papers by Puneet Kaur Breakdown of academic impact, for papers by Muhsen Owaida Breakdown of academic impact, for papers by David Sidler Breakdown of academic impact, for papers by Robert Searles Breakdown of academic impact, for papers by Davide B. Bartolini Breakdown of academic impact, for papers by Y. N. Srikant Breakdown of academic impact, for papers by Norman Rubin Breakdown of academic impact, for papers by Kirill Kogan
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2026