Young Il Lee

2.4k total citations · 1 hit paper
98 papers, 1.9k citations indexed

About

Young Il Lee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Young Il Lee has authored 98 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 67 papers in Electrical and Electronic Engineering and 15 papers in Automotive Engineering. Recurrent topics in Young Il Lee's work include Microgrid Control and Optimization (44 papers), Multilevel Inverters and Converters (37 papers) and Advanced DC-DC Converters (36 papers). Young Il Lee is often cited by papers focused on Microgrid Control and Optimization (44 papers), Multilevel Inverters and Converters (37 papers) and Advanced DC-DC Converters (36 papers). Young Il Lee collaborates with scholars based in South Korea, Egypt and United Kingdom. Young Il Lee's co-authors include Abdelsalam A. Ahmed, B. Kouvaritakis, Kyo‐Beum Lee, Ngoc-Duc Nguyen, Changwoo Yoon, Joong-Ho Song, Yong Soo Cho, Seok‐Kyoon Kim, Jung‐Su Kim and Jung‐Ho Han and has published in prestigious journals such as Advanced Energy Materials, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Young Il Lee

88 papers receiving 1.8k citations

Hit Papers

A Comparison of Finite Control Set and Continuous Control... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Il Lee South Korea 19 1.4k 1.0k 185 162 92 98 1.9k
Bingsen Wang United States 19 2.0k 1.4× 621 0.6× 274 1.5× 103 0.6× 97 1.1× 59 2.1k
R. Todd United Kingdom 18 977 0.7× 387 0.4× 194 1.0× 48 0.3× 54 0.6× 69 1.2k
Majid Pahlevani Canada 20 1.0k 0.7× 490 0.5× 234 1.3× 41 0.3× 65 0.7× 94 1.2k
Fei Gao China 29 2.2k 1.5× 1.2k 1.1× 751 4.1× 113 0.7× 40 0.4× 92 2.4k
Zhe Zhu China 19 964 0.7× 307 0.3× 69 0.4× 87 0.5× 141 1.5× 64 1.2k
Chi‐Kong Wong Macao 19 785 0.6× 315 0.3× 104 0.6× 55 0.3× 35 0.4× 76 1.0k
Ho‐Sung Kim South Korea 18 1.5k 1.0× 307 0.3× 492 2.7× 136 0.8× 22 0.2× 66 1.6k
C. Fernández Spain 21 1.4k 1.0× 531 0.5× 353 1.9× 56 0.3× 81 0.9× 116 1.6k

Countries citing papers authored by Young Il Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young Il Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Il Lee

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

All Works

20 of 20 papers shown
1.
Lee, Young Il, et al.. (2025). Orchestration of Edge Controller and Cloud Metric Engine for Managing OPC UA-Based Microgrids. IEEE Transactions on Industrial Informatics. 21(9). 7086–7097. 1 indexed citations
2.
Ahmed, Abdelsalam A., et al.. (2025). Energy Management and Power Distribution for Battery/Ultracapacitor Hybrid Energy Storage System in Electric Vehicles with Regenerative Braking Control. Mathematical and Computational Applications. 30(4). 82–82.
3.
Lee, Young Il. (2024). Introduction of Model Predictive Control Strategies for Control of Power Converters. Journal of Institute of Control Robotics and Systems. 30(4). 473–478. 1 indexed citations
4.
Lee, Young Il, et al.. (2024). A Quadratic Formulation of ESS Degradation and Optimal DC Microgrid Operation Strategy Using Quadratic Programming. IEEE Access. 12. 88534–88546. 4 indexed citations
5.
Nguyen, Ngoc-Duc, et al.. (2024). Model Predictive Current Control for Grid-connected Inverter Considering the PLL Dynamics. International Journal of Control Automation and Systems. 22(11). 3255–3265. 2 indexed citations
6.
Nguyen, Ngoc-Duc, et al.. (2023). Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With LCL Filter Using Lumped Disturbance Observer. IEEE Journal of Emerging and Selected Topics in Power Electronics. 11(3). 3050–3063. 7 indexed citations
7.
Yoon, Changwoo, Ngoc-Duc Nguyen, Yong Cheol Kang, & Young Il Lee. (2023). Autonomous Frequency Regulation Using Battery Energy Storage Systems of EV Charging Station. IEEE Access. 11. 97689–97698. 4 indexed citations
8.
Nguyen, Ngoc-Duc & Young Il Lee. (2023). A Model Predictive Voltage Control for Dual-active-bridge DC-DC Converter Using Generalized Averaging Model. International Journal of Control Automation and Systems. 21(8). 2455–2463. 3 indexed citations
9.
Kim, Dae‐Jin, Byungki Kim, Changwoo Yoon, Ngoc-Duc Nguyen, & Young Il Lee. (2022). Disturbance Observer-Based Model Predictive Voltage Control for Electric-Vehicle Charging Station in Distribution Networks. IEEE Transactions on Smart Grid. 14(1). 545–558. 23 indexed citations
10.
Lee, Young Il, et al.. (2022). Robust Tracking Control of a Three-Phase Bidirectional Charger for Electric Vehicle. Journal of Advanced Transportation. 2022. 1–12. 12 indexed citations
11.
Nguyen, Ngoc-Duc, et al.. (2021). Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter. IEEE Access. 9. 109793–109805. 23 indexed citations
12.
Kim, Jung‐Su, et al.. (2021). Computation of Feasible and Invariant Sets for Interpolation-based MPC. International Journal of Control Automation and Systems. 19(10). 3253–3263. 2 indexed citations
13.
Nguyen, Ngoc-Duc, et al.. (2021). Speed Sensorless Model Predictive Torque Control of Induction Motors Using a Modified Adaptive Full-Order Observer. IEEE Transactions on Industrial Electronics. 69(6). 6162–6172. 41 indexed citations
14.
Nguyen, Ngoc-Duc, et al.. (2021). Voltage Sensorless Model Predictive Control for a Grid-Connected Inverter With LCL Filter. IEEE Transactions on Industrial Electronics. 69(1). 740–751. 56 indexed citations
15.
Yoon, Changwoo, et al.. (2020). A Quadratic Programming-Based Power Dispatch Method for a DC-Microgrid. IEEE Access. 8. 211924–211936. 12 indexed citations
16.
Lee, Jeong-Ju, et al.. (2019). A Robust Emulation of Mechanical Loads Using a Disturbance-Observer. Energies. 12(12). 2236–2236. 7 indexed citations
17.
Lee, Kyungsuk, et al.. (2019). Model Predictive Control of Uninterruptible Power Supply with Robust Disturbance Observer. Energies. 12(15). 2871–2871. 17 indexed citations
18.
Lee, Young Il, et al.. (2018). Robust Tracking Control of a Three-Phase Charger under Unbalanced Grid Conditions. Energies. 11(12). 3389–3389. 12 indexed citations
19.
Ahmed, Abdelsalam A., et al.. (2017). A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Speed Control of Induction Motors. IEEE Transactions on Industrial Informatics. 14(4). 1334–1346. 321 indexed citations breakdown →

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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