Yongjun Park

1.2k total citations
69 papers, 865 citations indexed

About

Yongjun Park is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yongjun Park has authored 69 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hardware and Architecture, 45 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Yongjun Park's work include Parallel Computing and Optimization Techniques (48 papers), Advanced Data Storage Technologies (31 papers) and Distributed and Parallel Computing Systems (16 papers). Yongjun Park is often cited by papers focused on Parallel Computing and Optimization Techniques (48 papers), Advanced Data Storage Technologies (31 papers) and Distributed and Parallel Computing Systems (16 papers). Yongjun Park collaborates with scholars based in South Korea, United States and United Kingdom. Yongjun Park's co-authors include Scott Mahlke, Hyunchul Park, Mehrzad Samadi, Janghaeng Lee, Sangwon Seo, Hyemin Park, Wonmo Sung, Seongmin Hong, Jae Min Kim and Hyungjun Kim and has published in prestigious journals such as Journal of The Electrochemical Society, Optics Express and IEEE Access.

In The Last Decade

Yongjun Park

65 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjun Park South Korea 15 607 561 205 191 88 69 865
Brian Rogers United States 10 428 0.7× 392 0.7× 145 0.7× 187 1.0× 24 0.3× 24 704
Manuel E. Acacio Spain 17 593 1.0× 595 1.1× 49 0.2× 244 1.3× 97 1.1× 95 830
Baolei Cheng China 18 106 0.2× 697 1.2× 106 0.5× 732 3.8× 32 0.4× 94 1.1k
Midia Reshadi Iran 14 167 0.3× 417 0.7× 94 0.5× 342 1.8× 49 0.6× 96 675
Gilles Sassatelli France 18 659 1.1× 619 1.1× 76 0.4× 521 2.7× 38 0.4× 130 1.1k
Hideaki Sone Japan 14 165 0.3× 94 0.2× 46 0.2× 404 2.1× 123 1.4× 113 741
Istvan Haller United Kingdom 14 68 0.1× 172 0.3× 177 0.9× 321 1.7× 80 0.9× 25 796
D.K. Panda United States 19 541 0.9× 823 1.5× 134 0.7× 185 1.0× 27 0.3× 49 898
Michele Franceschini United States 18 1.1k 1.8× 1.3k 2.3× 183 0.9× 945 4.9× 18 0.2× 52 1.7k

Countries citing papers authored by Yongjun Park

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Park. A scholar is included among the top collaborators of Yongjun Park 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 Yongjun Park. Yongjun Park 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
3.
Park, Yongjun, et al.. (2025). CUrator: An Efficient LLM Execution Engine with Optimized Integration of CUDA Libraries. 209–224. 1 indexed citations
4.
Park, Yongjun, et al.. (2024). SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs. Proceedings of the ACM on Management of Data. 2(6). 1–27.
5.
Kang, Seokwon, et al.. (2023). ISP Agent: A Generalized In-storage-processing Workload Offloading Framework by Providing Multiple Optimization Opportunities. ACM Transactions on Architecture and Code Optimization. 21(1). 1–24. 1 indexed citations
9.
Lee, Eojin, et al.. (2021). MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. 24–36. 8 indexed citations
10.
Kang, Seokwon, et al.. (2020). Resource-Aware Device Allocation of Data-Parallel Applications on Heterogeneous Systems. Electronics. 9(11). 1825–1825. 2 indexed citations
11.
Park, Yongjun, et al.. (2020). LOCKED-Free Journaling: Improving the Coalescing Degree in EXT4 Journaling. 1–6. 2 indexed citations
12.
Kang, Seokwon, et al.. (2020). Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. 15 indexed citations
13.
Kim, John, et al.. (2020). Navigator: Dynamic Multi-kernel Scheduling to Improve GPU Performance. 1–6. 4 indexed citations
14.
Park, Jun‐Mo, et al.. (2019). Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors. IEEE Access. 7. 52371–52378. 3 indexed citations
15.
Jeon, Dongsuk, et al.. (2018). Improving GPU Multitasking Efficiency Using Dynamic Resource Sharing. IEEE Computer Architecture Letters. 18(1). 1–5. 14 indexed citations
16.
Park, Hyemin, et al.. (2018). Efficiency of enhanced oil recovery by injection of low-salinity water in barium-containing carbonate reservoirs. Petroleum Science. 15(4). 772–782. 32 indexed citations
17.
18.
Park, Yongjun, et al.. (2015). ELF. 1–12. 11 indexed citations
19.
Park, Yongjun, et al.. (2015). Chimera. ACM SIGARCH Computer Architecture News. 43(1). 593–606. 35 indexed citations
20.
Lee, Janghaeng, Mehrzad Samadi, Yongjun Park, & Scott Mahlke. (2013). Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems. International Conference on Parallel Architectures and Compilation Techniques. 245–256. 63 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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