Heechul Yun

2.2k total citations
58 papers, 1.4k citations indexed

About

Heechul Yun is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Heechul Yun has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Hardware and Architecture, 30 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Heechul Yun's work include Parallel Computing and Optimization Techniques (32 papers), Real-Time Systems Scheduling (31 papers) and Distributed systems and fault tolerance (15 papers). Heechul Yun is often cited by papers focused on Parallel Computing and Optimization Techniques (32 papers), Real-Time Systems Scheduling (31 papers) and Distributed systems and fault tolerance (15 papers). Heechul Yun collaborates with scholars based in United States, Canada and South Korea. Heechul Yun's co-authors include Rodolfo Pellizzoni, Lui Sha, Marco Caccamo, Gang Yao, Renato Mancuso, Michael M. Bechtel, Qijing Huang, Minje Kim, Stanley Bak and Tarek Abdelzaher and has published in prestigious journals such as Communications of the ACM, Computer and IEEE Transactions on Computers.

In The Last Decade

Heechul Yun

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heechul Yun United States	21	1.1k	711	222	221	130	58	1.4k
Hiroaki Takada Japan	17	1.1k 1.0×	669 0.9×	391 1.8×	135 0.6×	99 0.8×	190	1.4k
Alessandro Biondi Italy	19	917 0.9×	537 0.8×	204 0.9×	268 1.2×	60 0.5×	119	1.4k
Andreas Herkersdorf Germany	21	983 0.9×	924 1.3×	508 2.3×	198 0.9×	100 0.8×	198	1.5k
Hyoseung Kim United States	18	724 0.7×	637 0.9×	180 0.8×	132 0.6×	98 0.8×	72	1.1k
Sebastian Fischmeister Canada	18	399 0.4×	434 0.6×	145 0.7×	229 1.0×	161 1.2×	144	968
Reinder J. Bril Netherlands	18	1.4k 1.4×	925 1.3×	149 0.7×	125 0.6×	90 0.7×	144	1.8k
Kyoung‐Don Kang United States	17	326 0.3×	837 1.2×	255 1.1×	114 0.5×	178 1.4×	73	1.1k
Aviral Shrivastava United States	25	1.5k 1.4×	1.1k 1.6×	815 3.7×	282 1.3×	80 0.6×	173	2.1k
Alfons Crespo Spain	21	1.3k 1.2×	781 1.1×	134 0.6×	208 0.9×	120 0.9×	178	1.7k
Michael B. Sullivan United States	19	603 0.6×	519 0.7×	778 3.5×	389 1.8×	97 0.7×	48	1.3k

Countries citing papers authored by Heechul Yun

Since Specialization

Citations

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

Fields of papers citing papers by Heechul Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heechul Yun

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yun, Heechul. (2024). Understanding and Mitigating Hardware Interference Channels on Heterogeneous Multicore. 1–3.

2.

Yun, Heechul, et al.. (2024). TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing. 2878–2884.

3.

Yao, Shuochao, et al.. (2024). VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4045–4056.

4.

Yun, Heechul, et al.. (2023). Cache Bank-Aware Denial-of-Service Attacks on Multicore ARM Processors. 198–208. 7 indexed citations

5.

Bechtel, Michael M., et al.. (2022). DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems. 120–127. 5 indexed citations

6.

Tabish, Rohan, Rodolfo Pellizzoni, Renato Mancuso, et al.. (2021). An Analyzable Inter-core Communication Framework for High-Performance Multicore Embedded Systems. Journal of Systems Architecture. 118. 102178–102178. 4 indexed citations

7.

Pellizzoni, Rodolfo, et al.. (2021). Virtual Gang Scheduling of Parallel Real-Time Tasks. 270–275. 11 indexed citations

8.

Yun, Heechul, et al.. (2020). Dynamic Memory Bandwidth Allocation for Real-Time GPU-Based SoC Platforms. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3348–3360. 13 indexed citations

9.

Yun, Heechul, et al.. (2019). SpectreGuard. 1–6. 31 indexed citations

10.

Yun, Heechul, et al.. (2019). RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems. 143–155. 19 indexed citations

11.

Kim, Minje, et al.. (2018). DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. 11–21. 80 indexed citations

12.

Yun, Heechul, et al.. (2016). Taming Non-Blocking Caches to Improve Isolation in Multicore Real-Time Systems. 1–12. 74 indexed citations

13.

Garcia, Gonzalo, et al.. (2016). A Simplex Architecture for Intelligent and Safe Unmanned Aerial Vehicles. 69–75. 13 indexed citations

14.

Kim, Tae Min, et al.. (2016). The Relationship between Obstructive Sleep Apnea and Metabolic Syndrome in Adult. Journal of rhinology. 23(2). 97–97.

15.

Yao, Gang, et al.. (2015). Schedulability Analysis for Memory Bandwidth Regulated Multicore Real-Time Systems. IEEE Transactions on Computers. 65(2). 601–614. 23 indexed citations

16.

Yun, Heechul, et al.. (2014). PALLOC: DRAM bank-aware memory allocator for performance isolation on multicore platforms. 155–166. 168 indexed citations

17.

Sha, Lui, Marco Caccamo, Renato Mancuso, et al.. (2014). Single Core Equivalent Virtual Machines for Hard Real—Time Computing on Multicore Processors. IDEALS (University of Illinois Urbana-Champaign). 30 indexed citations

18.

Yun, Heechul, Gang Yao, Rodolfo Pellizzoni, Marco Caccamo, & Lui Sha. (2013). MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms. 55–64. 203 indexed citations

19.

Yun, Heechul, Gang Yao, Rodolfo Pellizzoni, Marco Caccamo, & Lui Sha. (2012). Memory Access Control in Multiprocessor for Real-Time Systems with Mixed Criticality. 299–308. 104 indexed citations

20.

Yun, Heechul, Sang‐Kwon Lee, Joonwon Lee, & Seungryoul Maeng. (2002). An efficient lock protocol for home-based lazy release consistency. 527–532. 5 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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