Jong Youl Choi

478 total citations
18 papers, 287 citations indexed

About

Jong Youl Choi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jong Youl Choi has authored 18 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in Jong Youl Choi's work include Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Jong Youl Choi is often cited by papers focused on Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Jong Youl Choi collaborates with scholars based in United States, China and India. Jong Youl Choi's co-authors include Scott Klasky, Jay Lofstead, Matthew Wolf, Qing Liu, Jeremy Logan, Norbert Podhorszki, Kesheng Wu, Nagiza F. Samatova, Roselyne Tchoua and Manish Parashar and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Information and System Security and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Jong Youl Choi

17 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong Youl Choi United States 9 214 95 60 59 58 18 287
Oleksandr Zinenko United States 6 120 0.6× 256 2.7× 132 2.2× 42 0.7× 22 0.4× 11 373
Sunita Chandrasekaran United States 9 143 0.7× 138 1.5× 16 0.3× 55 0.9× 12 0.2× 49 249
G Kumfert United States 8 117 0.5× 71 0.7× 29 0.5× 44 0.7× 58 1.0× 12 212
Christian Terboven Germany 9 179 0.8× 155 1.6× 48 0.8× 90 1.5× 6 0.1× 41 300
David Dillow United States 12 396 1.9× 199 2.1× 22 0.4× 106 1.8× 28 0.5× 21 415
Michel Daydé France 6 289 1.4× 110 1.2× 37 0.6× 159 2.7× 38 0.7× 8 386
Trevor L. McDonell Australia 6 136 0.6× 177 1.9× 84 1.4× 25 0.4× 11 0.2× 9 243
Mehdi Amini United States 5 105 0.5× 198 2.1× 124 2.1× 36 0.6× 17 0.3× 6 316
Amitabh Chaudhary United States 8 142 0.7× 19 0.2× 51 0.8× 61 1.0× 22 0.4× 23 242
Xiaodong Yu United States 11 140 0.7× 186 2.0× 191 3.2× 15 0.3× 10 0.2× 43 385

Countries citing papers authored by Jong Youl Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jong Youl Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Youl Choi. 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 Jong Youl Choi. The network helps show where Jong Youl Choi may publish in the future.

Co-authorship network of co-authors of Jong Youl Choi

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

All Works

18 of 18 papers shown
1.
Paul, Arnab K., Jong Youl Choi, Ahmad Maroof Karimi, & Feiyi Wang. (2022). Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 199–212. 3 indexed citations
2.
Chen, Jieyang, Lipeng Wan, Xin Liang, et al.. (2021). Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. 859–868. 16 indexed citations
3.
Sussman, Alan, et al.. (2021). DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers. 1–11. 2 indexed citations
4.
Mehta, Kshitij, Bryce Allen, Matthew Wolf, et al.. (2021). A codesign framework for online data analysis and reduction. Concurrency and Computation Practice and Experience. 34(14). 2 indexed citations
5.
Chen, Jieyang, David Pugmire, Matthew Wolf, et al.. (2019). Understanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 4 indexed citations
6.
Huang, Dan, Qing Liu, Scott Klasky, et al.. (2018). Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Transactions on Parallel and Distributed Systems. 30(3). 615–629. 9 indexed citations
7.
Xie, Bing, Jeffrey S. Chase, Jong Youl Choi, et al.. (2017). Predicting Output Performance of a Petascale Supercomputer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 181–192. 34 indexed citations
8.
Wan, Lipeng, Matthew Wolf, Feiyi Wang, et al.. (2017). Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–9. 13 indexed citations
9.
Logan, Jeremy, Jong Youl Choi, Matthew Wolf, et al.. (2017). Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. 116. 563–571. 3 indexed citations
10.
Wu, Lingfei, Kesheng Wu, Alex Sim, et al.. (2016). Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Transactions on Big Data. 2(3). 262–275. 11 indexed citations
11.
Ye, Jin, Xiaosong Ma, Mingliang Liu, et al.. (2015). Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. 309–320. 8 indexed citations
12.
Ye, Jin, Xiaosong Ma, Mingliang Liu, et al.. (2015). Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. ACM SIGMETRICS Performance Evaluation Review. 43(1). 309–320. 7 indexed citations
13.
Liu, Qing, Jeremy Logan, Yuan Tian, et al.. (2013). Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurrency and Computation Practice and Experience. 26(7). 1453–1473. 137 indexed citations
14.
Wang, XiaoFeng, Zhuowei Li, Ninghui Li, & Jong Youl Choi. (2008). PRECIP: Towards Practical and Retrofittable Confidential Information Protection.. Network and Distributed System Security Symposium. 14 indexed citations
15.
Wang, Xiaofeng, Zhuowei Li, Jong Youl Choi, et al.. (2008). Fast and Black-box Exploit Detection and Signature Generation for Commodity Software. ACM Transactions on Information and System Security. 12(2). 1–35. 1 indexed citations
16.
Pierce, Marlon, et al.. (2008). Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application. 99. 257–266. 3 indexed citations
17.
Choi, Jong Youl, et al.. (2008). Collective Collaborative Tagging System. 4011. 1–7. 5 indexed citations
18.
Choi, Jong Youl, Philippe Golle, & Markus Jakobsson. (2006). Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware. 37–44. 15 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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2026