Hojun Shim

530 total citations
14 papers, 404 citations indexed

About

Hojun Shim is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hojun Shim has authored 14 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hardware and Architecture, 8 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hojun Shim's work include Parallel Computing and Optimization Techniques (5 papers), Low-power high-performance VLSI design (5 papers) and Embedded Systems Design Techniques (4 papers). Hojun Shim is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Low-power high-performance VLSI design (5 papers) and Embedded Systems Design Techniques (4 papers). Hojun Shim collaborates with scholars based in South Korea and United States. Hojun Shim's co-authors include Naehyuck Chang, In-Seok Choi, Yongsoo Joo, Yong‐Seok Choi, Hyung Gyu Lee, Youngjin Cho, Dongkun Shin, Jihong Kim, Kwanho Kim and Hwangnam Kim and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Embedded Computing Systems and ICT Express.

In The Last Decade

Hojun Shim

14 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hojun Shim South Korea 9 224 182 112 90 90 14 404
Burak Özer United States 8 129 0.6× 199 1.1× 40 0.4× 13 0.1× 55 0.6× 15 359
Wenhua Dou China 13 179 0.8× 92 0.5× 164 1.5× 79 0.9× 362 4.0× 81 633
Arindam Mallik Belgium 16 347 1.5× 75 0.4× 194 1.7× 9 0.1× 153 1.7× 41 527
Tomohiro Hase Japan 7 74 0.3× 147 0.8× 20 0.2× 22 0.2× 35 0.4× 71 288
Young-Ho Seo South Korea 14 112 0.5× 400 2.2× 36 0.3× 186 2.1× 11 0.1× 112 619
Anand Bhojan Singapore 9 120 0.5× 126 0.7× 20 0.2× 14 0.2× 136 1.5× 45 273
A. Raghavan United States 10 530 2.4× 57 0.3× 11 0.1× 33 0.4× 52 0.6× 28 625
Yoshio Matsuda Japan 14 413 1.8× 89 0.5× 162 1.4× 21 0.2× 147 1.6× 92 601
J.C. Eble United States 13 501 2.2× 89 0.5× 129 1.2× 6 0.1× 71 0.8× 30 617

Countries citing papers authored by Hojun Shim

Since Specialization
Citations

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

Fields of papers citing papers by Hojun Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hojun Shim

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

All Works

14 of 14 papers shown
1.
Shim, Hojun, et al.. (2021). DQ: Two approaches to measure the degree of decentralization of blockchain. ICT Express. 7(3). 278–282. 13 indexed citations
2.
Chang, Naehyuck, et al.. (2006). Graduate Class for System-Level Low-Power Design. 31–32. 1 indexed citations
3.
Shim, Hojun, Youngjin Cho, & Naehyuck Chang. (2005). Frame buffer compression using a limited-size code book for low-power display systems. 7–12. 4 indexed citations
4.
Shim, Hojun, et al.. (2005). A compressed frame buffer to reduce display power consumption in mobile systems. 819–824. 21 indexed citations
5.
Chang, Naehyuck, In-Seok Choi, & Hojun Shim. (2004). DLS: dynamic backlight luminance scaling of liquid crystal display. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 12(8). 837–846. 143 indexed citations
6.
Shim, Hojun, Youngjin Cho, & Naehyuck Chang. (2004). Power saving in hand-held multimedia systems using MPEG-21 digital item adaptation. 39. 13–18. 8 indexed citations
7.
Shim, Hojun, et al.. (2003). Low-power color TFT LCD display for hand-held embedded systems. 112–117. 2 indexed citations
8.
Shim, Hojun, Yongsoo Joo, Yong‐Seok Choi, Hyung Gyu Lee, & Naehyuck Chang. (2003). Low-energy off-chip SDRAM memory systems for embedded applications. ACM Transactions on Embedded Computing Systems. 2(1). 98–130. 23 indexed citations
9.
Shim, Hojun, et al.. (2002). Low-power color TFT LCD display for hand-held embedded systems. 4 indexed citations
10.
Joo, Yongsoo, Yong‐Seok Choi, Hojun Shim, et al.. (2002). Energy exploration and reduction of SDRAM memory systems. Proceedings - ACM IEEE Design Automation Conference. 892–892. 20 indexed citations
11.
Shim, Hojun, et al.. (2002). Low-power color TFT LCD display for hand-held embedded systems. 112–117. 9 indexed citations
12.
Choi, In-Seok, Hojun Shim, & Naehyuck Chang. (2002). Low-power color TFT LCD display for hand-held embedded systems. 112–112. 122 indexed citations
13.
Joo, Yongsoo, Yong‐Seok Choi, & Hojun Shim. (2002). Energy exploration and reduction of SDRAM memory systems. 892–897. 11 indexed citations
14.
Shin, Dongkun, et al.. (2002). Energy-monitoring tool for low-power embedded programs. IEEE Design & Test of Computers. 19(4). 7–17. 23 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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