Sang Lyul Min

5.3k total citations · 1 hit paper
104 papers, 3.7k citations indexed

About

Sang Lyul Min is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Sang Lyul Min has authored 104 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Networks and Communications, 72 papers in Hardware and Architecture and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Sang Lyul Min's work include Parallel Computing and Optimization Techniques (59 papers), Advanced Data Storage Technologies (43 papers) and Real-Time Systems Scheduling (34 papers). Sang Lyul Min is often cited by papers focused on Parallel Computing and Optimization Techniques (59 papers), Advanced Data Storage Technologies (43 papers) and Real-Time Systems Scheduling (34 papers). Sang Lyul Min collaborates with scholars based in South Korea, United States and Sweden. Sang Lyul Min's co-authors include Yookun Cho, Sam H. Noh, Chong Sang Kim, Jongmoo Choi, Jesung Kim, Jihong Kim, Jong‐Min Kim, Jong‐Hun Kim, Jong-Deok Choi and Dong‐Hee Lee and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Vehicular Technology and IEEE Transactions on Computers.

In The Last Decade

Sang Lyul Min

102 papers receiving 3.5k citations

Hit Papers

A space-efficient flash translation layer for CompactFlas... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Lyul Min South Korea 31 2.7k 2.4k 404 385 344 104 3.7k
Francisco J. Cazorla Spain 32 1.8k 0.7× 2.9k 1.2× 410 1.0× 590 1.5× 232 0.7× 235 3.4k
J. W. Layland United States 6 3.3k 1.2× 5.0k 2.0× 245 0.6× 455 1.2× 1.4k 4.2× 20 5.9k
L.E. Moser United States 26 2.5k 1.0× 597 0.2× 689 1.7× 307 0.8× 282 0.8× 122 2.9k
Per Stenström Sweden 24 2.2k 0.8× 3.0k 1.2× 360 0.9× 334 0.9× 320 0.9× 130 3.3k
Binoy Ravindran United States 23 1.6k 0.6× 1.2k 0.5× 428 1.1× 266 0.7× 215 0.6× 216 2.1k
Adrián Cristal Spain 24 1.6k 0.6× 1.5k 0.6× 294 0.7× 471 1.2× 94 0.3× 165 2.0k
Joseph A. Fisher United States 20 1.2k 0.5× 1.9k 0.8× 135 0.3× 400 1.0× 117 0.3× 41 2.1k
C.M. Krishna United States 23 901 0.3× 1.2k 0.5× 130 0.3× 783 2.0× 162 0.5× 119 1.9k
Albert M. K. Cheng United States 18 735 0.3× 718 0.3× 247 0.6× 125 0.3× 281 0.8× 198 1.4k
David Whalley United States 29 1.4k 0.5× 3.1k 1.3× 327 0.8× 323 0.8× 531 1.5× 132 3.6k

Countries citing papers authored by Sang Lyul Min

Since Specialization
Citations

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

Fields of papers citing papers by Sang Lyul Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Lyul Min. 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 Lyul Min. The network helps show where Sang Lyul Min may publish in the future.

Co-authorship network of co-authors of Sang Lyul Min

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Lyul Min. A scholar is included among the top collaborators of Sang Lyul Min 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 Lyul Min. Sang Lyul Min 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, Minwook, Donghwa Shin, Sungjin Lee, et al.. (2021). SpartanSSD: a Reliable SSD under Capacitance Constraints. 1–6. 3 indexed citations
2.
Kim, Bryan S., Hyun Suk Yang, & Sang Lyul Min. (2018). AutoSSD: an autonomic SSD architecture. Seoul National University Open Repository (Seoul National University). 677–689. 11 indexed citations
3.
Kim, Hongseok, et al.. (2010). Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture. IEEE Transactions on Computers. 59(7). 905–921. 78 indexed citations
4.
Lee, Donghee, et al.. (2009). A Flash-Aware Cluster Allocation Scheme for Legacy File Systems. Journal of information science and engineering. 25(4). 1191–1220. 1 indexed citations
5.
Shin, Insik, et al.. (2008). A design framework for real-time embedded systems with code size and energy constraints. ACM Transactions on Embedded Computing Systems. 7(2). 1–27. 8 indexed citations
6.
Ahn, S.T., Jongmoo Choi, Dong‐Hee Lee, et al.. (2007). Design, Implementation, and Performance Evaluation of Flash Memory-based File System on Chip *. Journal of information science and engineering. 23(6). 1865–1887. 2 indexed citations
7.
Egger, Bernhard, et al.. (2006). A dynamic code placement technique for scratchpad memory using postpass optimization. 223–233. 44 indexed citations
8.
Min, Sang Lyul, et al.. (2006). Current trends in flash memory technology. 332–333. 18 indexed citations
9.
Lee, Jae‐Jin, et al.. (2003). A Flexible Tradeoff between Code Size and WCET Employing Dual Instruction Set Processors.. 91–94. 3 indexed citations
10.
Kim, Kanghee, Lucia Lo Bello, Sang Lyul Min, & O. Mirabella. (2003). On relaxing task isolation in overrun handling to provide probabilistic guarantees to soft real-time tasks with varying execution times. 193–202. 4 indexed citations
11.
Kim, Jihong, et al.. (2002). A Dynamic Voltage Scaling Algorithm for Dynamic-Priority Hard Real-Time Systems Using Slack Time Analysis. Design, Automation, and Test in Europe. 788–794. 107 indexed citations
12.
Ermedahl, Andreas, et al.. (2002). Statistical Derivation of an Accurate Energy Consumption Model for Embedded Processors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 124. 1069–74. 4 indexed citations
13.
Lim, Yujin, et al.. (2002). Performance evaluation of the Bluetooth-based public Internet access point. 643–648. 33 indexed citations
14.
Kim, Jong Min, Jongmoo Choi, Jesung Kim, et al.. (2000). A low-overhead high-performance unified buffer management scheme that exploits sequential and looping references. Operating Systems Design and Implementation. 9. 104 indexed citations
15.
Choi, Jongmoo, Sam H. Noh, Sang Lyul Min, & Yookun Cho. (1999). An implementation study of a detection-based adaptive block replacement scheme. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 18–18. 29 indexed citations
16.
Min, Sang Lyul, et al.. (1993). Caller ID System in the Internet Environment.. USENIX Security Symposium. 11 indexed citations
17.
Choi, Jong-Deok & Sang Lyul Min. (1991). Race Frontier. 145–154. 75 indexed citations
18.
Choi, Jong-Deok & Sang Lyul Min. (1991). Race Frontier. ACM SIGPLAN Notices. 26(7). 145–154. 5 indexed citations
19.
Min, Sang Lyul & Jean-Loup Baer. (1990). A Performance Comparison of Directory-based and Timestamp-based Cache Coherence Schemes.. Proceedings of the International Conference on Parallel Processing. 305–311. 13 indexed citations
20.
Min, Sang Lyul & Jean-Loup Baer. (1989). A Timestamp-based Cache Coherence Scheme.. Proceedings of the International Conference on Parallel Processing. 23–32. 35 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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