Eui-Young Chung

1.6k total citations
95 papers, 1.2k citations indexed

About

Eui-Young Chung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Eui-Young Chung has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Hardware and Architecture, 63 papers in Computer Networks and Communications and 44 papers in Electrical and Electronic Engineering. Recurrent topics in Eui-Young Chung's work include Parallel Computing and Optimization Techniques (45 papers), Advanced Data Storage Technologies (37 papers) and Interconnection Networks and Systems (28 papers). Eui-Young Chung is often cited by papers focused on Parallel Computing and Optimization Techniques (45 papers), Advanced Data Storage Technologies (37 papers) and Interconnection Networks and Systems (28 papers). Eui-Young Chung collaborates with scholars based in South Korea, United States and Italy. Eui-Young Chung's co-authors include Luca Benini, Giovanni De Micheli, Yung-Hsiang Lu, Sung Woo Chung, T. Simunic, Naehyuck Chang, Sungroh Yoon, Alessandro Bogliolo, Sungjoo Yoo and Sang‐Hoon Park and has published in prestigious journals such as Bioinformatics, IEEE Access and BMC Bioinformatics.

In The Last Decade

Eui-Young Chung

82 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eui-Young Chung South Korea 17 650 645 551 169 71 95 1.2k
Jörg Henkel Germany 20 857 1.3× 998 1.5× 988 1.8× 107 0.6× 101 1.4× 53 1.8k
Andreas Herkersdorf Germany 21 924 1.4× 983 1.5× 508 0.9× 100 0.6× 56 0.8× 198 1.5k
Myungchul Kim South Korea 19 394 0.6× 567 0.9× 1.1k 2.0× 78 0.5× 109 1.5× 126 1.6k
Rabi Mahapatra United States 17 504 0.8× 375 0.6× 463 0.8× 112 0.7× 139 2.0× 113 1.1k
Agrawal United States 16 1.0k 1.6× 557 0.9× 784 1.4× 67 0.4× 125 1.8× 38 1.5k
Sunggu Lee South Korea 17 591 0.9× 498 0.8× 457 0.8× 108 0.6× 84 1.2× 89 997
Oğuz Ergin Türkiye 19 551 0.8× 727 1.1× 697 1.3× 54 0.3× 54 0.8× 81 1.2k
Shaahin Hessabi Iran 17 481 0.7× 472 0.7× 599 1.1× 48 0.3× 35 0.5× 100 1.1k
A. Wolfe United States 12 533 0.8× 1.1k 1.8× 553 1.0× 72 0.4× 71 1.0× 29 1.4k
Tien-Fu Chen Taiwan 19 1.0k 1.6× 1.1k 1.6× 566 1.0× 145 0.9× 72 1.0× 88 1.7k

Countries citing papers authored by Eui-Young Chung

Since Specialization
Citations

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

Fields of papers citing papers by Eui-Young Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eui-Young Chung. 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 Eui-Young Chung. The network helps show where Eui-Young Chung may publish in the future.

Co-authorship network of co-authors of Eui-Young Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Eui-Young Chung. A scholar is included among the top collaborators of Eui-Young Chung 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 Eui-Young Chung. Eui-Young Chung 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.
Kim, Byoung Jin, et al.. (2025). DH-PIM: Maximizing Computing Unit Utilization in Digital PIM by Dual Half Mode Extension. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 45(1). 83–93.
3.
Chung, Eui-Young, et al.. (2024). PipePIM: Maximizing Computing Unit Utilization in ML-Oriented Digital PIM by Pipelining and Dual Buffering. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(12). 4585–4598. 3 indexed citations
4.
Kim, Byoung Jin & Eui-Young Chung. (2024). Auto Batching Scheme for Optimizing LSTM Inference on FPGA Platforms. IEEE Access. 12. 159380–159394.
5.
Chung, Eui-Young, et al.. (2023). Adaptive Tag Comparison for Hybrid Cache. 83–84. 1 indexed citations
6.
Kim, Ki Tae, et al.. (2021). Cross-Corner Delay Variation Model for Standard Cell Libraries. IEEE Access. 9. 72299–72315. 2 indexed citations
7.
Oh, Minsik, et al.. (2019). Per-Operation Reusability Based Allocation and Migration Policy for Hybrid Cache. IEEE Transactions on Computers. 69(2). 158–171. 2 indexed citations
8.
Chung, Eui-Young, et al.. (2019). Multitoken-Based Power Management for NAND Flash Storage Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2898–2910. 1 indexed citations
9.
Lee, Se-Il, et al.. (2017). Near-Data Processing for Machine Learning. arXiv (Cornell University). 7 indexed citations
10.
Yoon, Sungroh, et al.. (2010). Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network. Design, Automation, and Test in Europe. 1390–1395. 1 indexed citations
11.
Senthilkumar, M., Ju Young Bae, Jindong Wu, et al.. (2010). Characterization of filamentous bacteriophage PE226 infecting Ralstonia solanacearum strains. Journal of Applied Microbiology. 110(1). 296–303. 39 indexed citations
12.
Yoo, Sungjoo, et al.. (2008). Mixed integer linear programming-based optimal topology synthesis of cascaded crossbar switches. Asia and South Pacific Design Automation Conference. 583–588. 13 indexed citations
13.
Kong, Joonho, et al.. (2008). A Dual Integer Register File Structure for Temperature - Aware Microprocessors. 35(12). 540–551. 1 indexed citations
14.
Chung, Eui-Young, et al.. (2008). Scalable QoS-Aware Memory Controller for High-Bandwidth Packet Memory. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 16(3). 289–301. 5 indexed citations
15.
Yoon, Sungroh, Jessica Ebert, Eui-Young Chung, Giovanni De Micheli, & Russ B. Altman. (2007). Clustering protein environments for function prediction: finding PROSITE motifs in 3D. BMC Bioinformatics. 8(S4). S10–S10. 27 indexed citations
16.
Cho, Kwang‐Hyun, et al.. (2005). Multimedia IP Design in SystemC Design Environment Adopting High-level Code Optimization. 대한전자공학회 ISOCC. 24–27. 1 indexed citations
17.
Lee, Jongeun, Woo-Cheol Kwon, Taehun Kim, et al.. (2005). System Level Architecture Evaluation and Optimization: an Industrial Case Study with AMBA3 AXI. JSTS Journal of Semiconductor Technology and Science. 5(4). 229–236. 1 indexed citations
18.
Chung, Eui-Young, Luca Benini, Alessandro Bogliolo, & Giovanni De Micheli. (2003). Dynamic power management for nonstationary service requests. 77–81. 26 indexed citations
19.
Chung, Eui-Young, Luca Benini, Alessandro Bogliolo, Yung-Hsiang Lu, & Giovanni De Micheli. (2002). Dynamic power management for nonstationary service requests. IEEE Transactions on Computers. 51(11). 1345–1361. 103 indexed citations
20.
Chung, Eui-Young, Luca Benini, & Giovanni De Micheli. (1999). Dynamic power management using adaptive learning tree. International Conference on Computer Aided Design. 274–279. 121 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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