Heechul Yun

2.2k citations
59 papers · 1.4k · h-index 21

Impact in

Papers in

Heechul Yun

53 papers receiving 1.4k citations

Peers

Heechul Yun
Comparison fields: 5 of 51
  • Hardware and Architecture 1.1k
  • Computer Networks and Communications 714
  • Artificial Intelligence 225
  • Signal Processing 65
  • Information Systems 130
Replace Alessandro Biondi with:
Alessandro Biondi Italy
Hiroaki Takada Japan
Andreas Herkersdorf Germany
Hyoseung Kim United States
Alfons Crespo Spain
Thidapat Chantem United States
Reinder J. Bril Netherlands
Binoy Ravindran United States
Gerhard Fohler Germany
Kyoung‐Don Kang United States
Heechul Yun relative to Alessandro Biondi Italy Alessandro Biondi's profile →
Citations per field
00.5×1.5×2.1×
Alessandro Biondi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Heechul Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heechul Yun Line = papers co-authored together Heechul Yun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013205
2 2014168
3 2012104
4 201880
5 201674
6 201365
7 201553
8 201946
9 201942
10 201541
11 201038
12 201537
13 202036
14 201932
15
Single Core Equivalent Virtual Machines for Hard Real—Time Computing on Multicore Processors
201430
16 201528
17 201627
18 202026
19 201523
20 201122

About Heechul Yun

Heechul Yun is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (32 papers), Real-Time Systems Scheduling (31 papers), Distributed systems and fault tolerance (15 papers), Embedded Systems Design Techniques (11 papers), Security and Verification in Computing (10 papers), Advanced Neural Network Applications (8 papers), Interconnection Networks and Systems (8 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Networks and Communications (714 citations), Artificial Intelligence (225 citations), Signal Processing (65 citations) and Information Systems (130 citations). Heechul Yun has collaborated with scholars based in United States, Canada and South Korea. Frequent 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. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Real-Time Systems, Communications of the ACM and Computer.

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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