Jun Kyun Choi

2.7k total citations · 1 hit paper
197 papers, 1.9k citations indexed

About

Jun Kyun Choi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Jun Kyun Choi has authored 197 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Electrical and Electronic Engineering, 112 papers in Computer Networks and Communications and 26 papers in Sociology and Political Science. Recurrent topics in Jun Kyun Choi's work include Advanced Optical Network Technologies (39 papers), Optical Network Technologies (22 papers) and Smart Grid Energy Management (22 papers). Jun Kyun Choi is often cited by papers focused on Advanced Optical Network Technologies (39 papers), Optical Network Technologies (22 papers) and Smart Grid Energy Management (22 papers). Jun Kyun Choi collaborates with scholars based in South Korea, United Kingdom and United States. Jun Kyun Choi's co-authors include Joohyung Lee, Sangdon Park, Moshe Zukerman, Jun Guo, Gyu Myoung Lee, Nakyoung Kim, S. H. Shah Newaz, Hyeontaek Oh, Minkyung Kim and Seong Gon Choi and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Jun Kyun Choi

182 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

2015 311 citations Joohyung Lee, Jun Guo et al. IEEE Transactions on Industrial Electronics profile →

Peers

Jun Kyun Choi

EEE

CNC

CSE

IS

AI

Joohyung Lee South Korea

Xiao Liu China

Amit Dua India

Fen Hou Macao

Khaled Shuaib United Arab Emirates

Panagiotis Trakadas Greece

Yanfei Sun China

Marc St‐Hilaire Canada

Jianguo Yao China

Nizar Zorba Qatar

Joohyung Lee South Korea

Jun Kyun Choi

944 ×0.7

EEE

413 ×0.6

CNC

413 ×1.0

CSE

240 ×1.1

IS

757 ×3.4

AI

Citations per year, relative to Jun Kyun Choi Jun Kyun Choi (= 1×) peers Joohyung Lee

Countries citing papers authored by Jun Kyun Choi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Kyun Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Kyun Choi. 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 Jun Kyun Choi. The network helps show where Jun Kyun Choi may publish in the future.

Co-authorship network of co-authors of Jun Kyun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kyun Choi. A scholar is included among the top collaborators of Jun Kyun Choi 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 Jun Kyun Choi. Jun Kyun Choi 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.

Choi, Jun Kyun, et al.. (2025). Reinforcement learning-based energy management system in the complex electric tariff environment. International Journal of Electrical Power & Energy Systems. 172. 111038–111038. 1 indexed citations

2.

Lee, Joohyung, et al.. (2022). Power Scheduling Scheme for a Charging Facility Considering the Satisfaction of Electric Vehicle Users. IEEE Access. 10. 25153–25164. 15 indexed citations

3.

Oh, Hyeontaek, et al.. (2022). Differential Pricing-Based Task Offloading for Delay-Sensitive IoT Applications in Mobile Edge Computing System. IEEE Internet of Things Journal. 9(19). 19116–19131. 22 indexed citations

4.

Kim, Nakyoung, et al.. (2022). Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction. IEEE Transactions on Smart Grid. 13(4). 2999–3013. 58 indexed citations

5.

Oh, Hyeontaek, et al.. (2022). Learning based cost optimal energy management model for campus microgrid systems. Applied Energy. 311. 118630–118630. 15 indexed citations

6.

Park, Sangdon, et al.. (2021). A Multivariate-Time-Series-Prediction-Based Adaptive Data Transmission Period Control Algorithm for IoT Networks. IEEE Internet of Things Journal. 9(1). 419–436. 22 indexed citations

7.

Park, Sangdon, et al.. (2021). Joint Subcarrier and Transmission Power Allocation in OFDMA-Based WPT System for Mobile-Edge Computing in IoT Environment. IEEE Internet of Things Journal. 9(16). 15039–15052. 25 indexed citations

8.

Newaz, S. H. Shah, et al.. (2021). Energy Trading among Power Grid and Renewable Energy Sources: A Dynamic Pricing and Demand Scheme for Profit Maximization. Sensors. 21(17). 5819–5819. 10 indexed citations

9.

Oh, Hyeontaek, et al.. (2021). Data Analysis and Consideration of Radar-Based Contactless Biometrics Monitoring Testbed for Single Elderly Households. The Journal of Korean Institute of Communications and Information Sciences. 46(6). 1056–1064. 1 indexed citations

10.

Oh, Hyeontaek, et al.. (2020). Competitive Data Trading Model With Privacy Valuation for Multiple Stakeholders in IoT Data Markets. IEEE Internet of Things Journal. 7(4). 3623–3639. 52 indexed citations

11.

Kim, Taejoon, et al.. (2020). Group Connectivity-Based UAV Positioning and Data Slot Allocation for Tactical MANET. IEEE Access. 8. 220570–220584. 12 indexed citations

12.

Choi, Hyung Seok, et al.. (2019). Energy-Efficient TDMA Scheduling for UVS Tactical MANET. IEEE Communications Letters. 23(11). 2126–2129. 17 indexed citations

13.

Oh, Hyeontaek, et al.. (2019). Personal Data Trading Scheme for Data Brokers in IoT Data Marketplaces. IEEE Access. 7. 40120–40132. 42 indexed citations

14.

Lee, Joohyung, et al.. (2018). Battery-Wear-Model-Based Energy Trading in Electric Vehicles: A Naive Auction Model and a Market Analysis. IEEE Transactions on Industrial Informatics. 15(7). 4140–4151. 34 indexed citations

15.

Kim, Nakyoung, Sangdon Park, Joohyung Lee, & Jun Kyun Choi. (2018). Load Profile Extraction by Mean-Shift Clustering with Sample Pearson Correlation Coefficient Distance. Energies. 11(9). 2397–2397. 12 indexed citations

16.

Oh, Hyeontaek, et al.. (2016). A Study on Trustworthy Cyber-Physical ID/Location Mapping on IoT and NFV. 2016(1). 1–18. 1 indexed citations

17.

Lee, Joohyung, Jun Guo, Jun Kyun Choi, & Moshe Zukerman. (2015). Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis. IEEE Transactions on Industrial Electronics. 62(6). 3524–3533. 311 indexed citations breakdown →

18.

Yang, Jinhong, H. Park, & Jun Kyun Choi. (2009). A study on providing Open IPTV in next generation network service platform. 290–293. 2 indexed citations

19.

Choi, Jun Kyun, et al.. (2008). Open IPTV services over NGN. 1–6. 2 indexed citations

20.

Ha, Imsook, et al.. (2007). When Interactive TV Meets Online Auction: A Study On Factors Affecting User Adoption.. ICIQ. 65–74. 1 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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