Joohyung Lee

3.2k total citations · 1 hit paper
112 papers, 2.0k citations indexed

About

Joohyung Lee is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Joohyung Lee has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 44 papers in Electrical and Electronic Engineering and 39 papers in Computer Networks and Communications. Recurrent topics in Joohyung Lee's work include Privacy-Preserving Technologies in Data (21 papers), Logic, Reasoning, and Knowledge (21 papers) and IoT and Edge/Fog Computing (20 papers). Joohyung Lee is often cited by papers focused on Privacy-Preserving Technologies in Data (21 papers), Logic, Reasoning, and Knowledge (21 papers) and IoT and Edge/Fog Computing (20 papers). Joohyung Lee collaborates with scholars based in South Korea, United States and Singapore. Joohyung Lee's co-authors include Jun Kyun Choi, Sangdon Park, Jun Guo, Moshe Zukerman, Vladimir Lifschitz, Hudson Turner, Norman McCain, Enrico Giunchiglia, Kwihoon Kim and Dusit Niyato and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Joohyung Lee

102 papers receiving 1.9k 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 Kyun Choi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joohyung Lee South Korea	22	944	757	413	413	240	112	2.0k
Yuancheng Li China	21	695 0.7×	437 0.6×	387 0.9×	433 1.0×	382 1.6×	112	1.5k
Bong Jun Choi South Korea	25	1.3k 1.4×	416 0.5×	719 1.7×	774 1.9×	379 1.6×	134	2.4k
Sheng Xiao China	19	495 0.5×	463 0.6×	451 1.1×	164 0.4×	458 1.9×	58	1.4k
Dominik Engel Austria	19	526 0.6×	388 0.5×	242 0.6×	365 0.9×	489 2.0×	81	1.3k
Yanfei Sun China	22	674 0.7×	416 0.5×	1.1k 2.8×	274 0.7×	580 2.4×	130	2.0k
Bouziane Brik France	24	585 0.6×	620 0.8×	812 2.0×	126 0.3×	271 1.1×	99	1.6k
Ola Salman Lebanon	21	512 0.5×	660 0.9×	1.3k 3.0×	315 0.8×	607 2.5×	62	2.3k
Rajat Chaudhary India	20	517 0.5×	448 0.6×	995 2.4×	192 0.5×	798 3.3×	48	1.8k
Shusen Yang China	25	780 0.8×	743 1.0×	1.4k 3.4×	221 0.5×	327 1.4×	93	2.5k

Countries citing papers authored by Joohyung Lee

Since Specialization

Citations

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

Fields of papers citing papers by Joohyung Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joohyung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joohyung Lee. A scholar is included among the top collaborators of Joohyung Lee 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 Joohyung Lee. Joohyung Lee 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

Lee, Joohyung, Jungchan Cho, & H. Vincent Poor. (2025). A Lyapunov Optimization Enabled Energy-Efficient Dynamic Cut Layer Control Mechanism. IEEE Wireless Communications Letters. 14(6). 1782–1786.

Lee, Joohyung, et al.. (2024). Explainable AI Empowered Resource Management for Enhanced Communication Efficiency in Hierarchical Federated Learning. Computers & Electrical Engineering. 117. 109260–109260. 3 indexed citations

Lee, Joohyung, et al.. (2024). DRL-empowered joint batch size and weighted aggregation adjustment mechanism for federated learning on non-IID data. ICT Express. 10(4). 863–870. 1 indexed citations

Lee, Joohyung, et al.. (2024). EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks. Future Internet. 17(1). 2–2. 4 indexed citations

Park, Sangdon, et al.. (2024). Real-Time Dynamic Pricing for Edge Computing Services: A Market Perspective. IEEE Access. 12. 134754–134769.

Lee, Joohyung, et al.. (2024). Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core. IEEE Communications Surveys & Tutorials. 26(3). 2176–2212. 45 indexed citations

Lee, Joohyung, et al.. (2024). Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning. Sensors. 24(15). 5000–5000.

Lee, Joohyung, et al.. (2024). A Federated Reinforcement Learning Framework via a Committee Mechanism for Resource Management in 5G Networks. Sensors. 24(21). 7031–7031.

Lee, Joohyung, et al.. (2024). Split Federated Learning-Empowered Energy-Efficient Mobile Traffic Prediction Over UAVs. IEEE Wireless Communications Letters. 13(11). 3064–3068. 3 indexed citations

10.

Singh, Nikhil, et al.. (2024). Federated Learning-Based Energy-Efficient Consumer-Centric Access Strategy for Cell-Free MIMO in 6G Wireless Networks. IEEE Transactions on Consumer Electronics. 71(2). 4292–4303. 1 indexed citations

11.

Lee, Joohyung, et al.. (2024). Heterogeneous Privacy Level-Based Client Selection for Hybrid Federated and Centralized Learning in Mobile Edge Computing. IEEE Access. 12. 108556–108572. 2 indexed citations

12.

Lee, Joohyung, et al.. (2023). Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model. Sensors. 23(5). 2869–2869. 7 indexed citations

13.

Lee, Joohyung, et al.. (2023). FedFingerprinting: A Federated Learning Approach to Website Fingerprinting Attacks in Tor Networks. IEEE Access. 11. 78431–78444. 3 indexed citations

14.

Shin, Seungjae, et al.. (2023). Joint Edge Server Selection and Data Set Management for Federated-Learning-Enabled Mobile Traffic Prediction. IEEE Internet of Things Journal. 11(3). 4971–4986. 14 indexed citations

15.

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

16.

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

17.

Lee, Joohyung, et al.. (2020). Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment. IEEE Internet of Things Journal. 7(5). 4292–4303. 72 indexed citations

18.

Park, Sangdon, et al.. (2018). Three Hierarchical Levels of Big-Data Market Model Over Multiple Data Sources for Internet of Things. IEEE Access. 6. 31269–31280. 17 indexed citations

19.

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

20.

Lee, Joohyung, et al.. (2014). Stable models of multi-valued formulas: partial versus total functions. Principles of Knowledge Representation and Reasoning. 583–586. 2 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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