Yong-Kee Jun

408 total citations
37 papers, 140 citations indexed

About

Yong-Kee Jun is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Yong-Kee Jun has authored 37 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Yong-Kee Jun's work include Parallel Computing and Optimization Techniques (25 papers), Real-Time Systems Scheduling (14 papers) and Radiation Effects in Electronics (9 papers). Yong-Kee Jun is often cited by papers focused on Parallel Computing and Optimization Techniques (25 papers), Real-Time Systems Scheduling (14 papers) and Radiation Effects in Electronics (9 papers). Yong-Kee Jun collaborates with scholars based in South Korea, United States and Canada. Yong-Kee Jun's co-authors include Kyong Hoon Kim, Kern Koh, Seongjin Lee, Young-Joo Kim, Sejun Song, Charles E. McDowell, Hee‐Dong Park, Hyunji Kim, Junho Seo and Daeyoung Kim and has published in prestigious journals such as Applied Sciences, Journal of Systems and Software and ACM SIGPLAN Notices.

In The Last Decade

Yong-Kee Jun

33 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yong-Kee Jun South Korea	7	99	62	25	24	19	37	140
John Seng United States	8	201 2.0×	132 2.1×	5 0.2×	36 1.5×	8 0.4×	17	232
Roopsha Samanta United States	7	15 0.2×	54 0.9×	21 0.8×	24 1.0×	6 0.3×	18	112
Patrick Carribault France	6	89 0.9×	77 1.2×	19 0.8×	18 0.8×		19	123
Giorgis Georgakoudis United States	9	101 1.0×	95 1.5×	13 0.5×	36 1.5×		41	191
Daniel Gracia Pérez France	8	130 1.3×	94 1.5×	12 0.5×	13 0.5×	1 0.1×	15	151
Perry H. Wang United States	8	338 3.4×	289 4.7×	12 0.5×	59 2.5×	4 0.2×	13	355
Thomas Bemmerl Germany	7	119 1.2×	102 1.6×	4 0.2×	20 0.8×	2 0.1×	32	136
W. Cesário France	7	261 2.6×	206 3.3×	12 0.5×	5 0.2×	2 0.1×	14	293
Vikram A. Saletore United States	8	95 1.0×	125 2.0×	5 0.2×	27 1.1×	2 0.1×	21	170
Erik Seligman United States	7	113 1.1×	101 1.6×	8 0.3×	22 0.9×		10	194

Countries citing papers authored by Yong-Kee Jun

Since Specialization

Citations

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

Fields of papers citing papers by Yong-Kee Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong-Kee Jun. 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 Yong-Kee Jun. The network helps show where Yong-Kee Jun may publish in the future.

Co-authorship network of co-authors of Yong-Kee Jun

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

All Works

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20 of 20 papers shown

1.

Jun, Yong-Kee, et al.. (2023). Lightweight Method for On-the-fly Detection of Multivariable Atomicity Violations. 89. 165–171.

2.

Jun, Yong-Kee, et al.. (2023). Student Dropout Prediction for University with High Precision and Recall. Applied Sciences. 13(10). 6275–6275. 24 indexed citations

3.

Jun, Yong-Kee, et al.. (2022). Architectural Process for Flight Control Software of Unmanned Aerial Vehicle with Module-Level Portability. Aerospace. 9(2). 62–62. 2 indexed citations

4.

Kim, Kyong Hoon, et al.. (2016). EventHealer: Bypassing data races in event-driven programs. Journal of Systems and Software. 118. 208–220. 2 indexed citations

5.

Kim, Hyunji, et al.. (2015). Message Races in Data Distribution Service Programs. 33–36. 2 indexed citations

6.

Seo, Junho, et al.. (2015). Compositional power-aware real-time scheduling with discrete frequency levels. Journal of Systems Architecture. 61(7). 269–281. 5 indexed citations

7.

Seo, Junho, et al.. (2015). Supporting fault-tolerance in a compositional real-time scheduling framework. ACM SIGBED Review. 12(2). 7–15. 1 indexed citations

8.

Kim, Young-Joo, et al.. (2014). An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 10(7). 196040–196040. 1 indexed citations

9.

Jun, Yong-Kee, et al.. (2014). Visualization Tool for Debugging Data Races in Structured Fork-join Parallel Programs. 1 indexed citations

10.

Kim, Kyong Hoon, et al.. (2014). Power-aware scheduling of compositional real-time frameworks. Journal of Systems and Software. 102. 58–71. 6 indexed citations

11.

Kim, Kyong Hoon, et al.. (2013). Compositional real-time scheduling framework for periodic reward-based task model. Journal of Systems and Software. 86(6). 1712–1724. 3 indexed citations

12.

Gan, Lin, et al.. (2012). Visualizing concurrency faults in ARINC-653 real-time applications. 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC). 1. 9E6–1. 1 indexed citations

13.

Kim, Kyong Hoon, et al.. (2012). Dynamic Voltage Scaling for Power-aware Hierarchical Real-Time Scheduling Framework. 540–547. 6 indexed citations

14.

Kim, Kyong Hoon, et al.. (2012). A New Compositional Scheduling Framework for Power-Aware Real-Time Systems. 396–399. 1 indexed citations

15.

Kim, Young-Joo, Sejun Song, & Yong-Kee Jun. (2011). ADAT: An Adaptable Dynamic Analysis Tool for Race Detection in OpenMP Programs. 304–310. 4 indexed citations

16.

Kim, Kyong Hoon, et al.. (2010). Hierarchical Real-Time Scheduling Framework for Imprecise Computations. 273–280. 8 indexed citations

17.

Kim, Young-Joo, Daeyoung Kim, & Yong-Kee Jun. (2008). An Empirical Analysis of Intel Thread Checker for Detecting Races in OpenMP Programs. 2126. 409–414. 4 indexed citations

18.

Park, Hee‐Dong & Yong-Kee Jun. (1998). Two-pass on-the-fly detection of the first races in shared-memory parallel. 158–158. 1 indexed citations

19.

Jun, Yong-Kee & Charles E. McDowell. (1996). On-the-fly Detection of the First Races in Programs with Nested Parallelism.. Parallel and Distributed Processing Techniques and Applications. 1549–1560. 2 indexed citations

20.

Jun, Yong-Kee & Kern Koh. (1993). On-the-fly detection of access anomalies in nested parallel loops. 107–117. 12 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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