Byongjun Lee

838 total citations
84 papers, 615 citations indexed

About

Byongjun Lee is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Byongjun Lee has authored 84 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 19 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Byongjun Lee's work include Power System Optimization and Stability (43 papers), Optimal Power Flow Distribution (32 papers) and HVDC Systems and Fault Protection (26 papers). Byongjun Lee is often cited by papers focused on Power System Optimization and Stability (43 papers), Optimal Power Flow Distribution (32 papers) and HVDC Systems and Fault Protection (26 papers). Byongjun Lee collaborates with scholars based in South Korea, United States and Japan. Byongjun Lee's co-authors include Hwachang Song, Venkataramana Ajjarapu, Hee-Won Shin, Sae-Hyuk Kwon, Seul-Ki Kim, Kyeon Hur, Yong Cheol Kang, Jinho Kim, Jong-Bo Ahn and Jin-Hong Jeon and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Byongjun Lee

77 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byongjun Lee South Korea 14 570 354 84 53 15 84 615
Jianfeng Wen China 7 318 0.6× 191 0.5× 59 0.7× 39 0.7× 11 0.7× 11 359
Ping Jiang China 14 429 0.8× 280 0.8× 34 0.4× 80 1.5× 13 0.9× 76 521
Quanyuan Jiang China 14 633 1.1× 303 0.9× 79 0.9× 37 0.7× 46 3.1× 55 675
M. R. Aghamohammadi Iran 13 456 0.8× 306 0.9× 62 0.7× 28 0.5× 6 0.4× 57 513
Chongru Liu China 13 634 1.1× 398 1.1× 42 0.5× 29 0.5× 10 0.7× 91 679
He Renmu China 10 540 0.9× 245 0.7× 83 1.0× 25 0.5× 7 0.5× 48 580
Xuzhu Dong China 11 345 0.6× 236 0.7× 49 0.6× 45 0.8× 12 0.8× 59 424
Junya Matsuki Japan 13 532 0.9× 339 1.0× 43 0.5× 54 1.0× 16 1.1× 98 588
Charles J. Mozina United States 16 779 1.4× 671 1.9× 94 1.1× 29 0.5× 26 1.7× 78 851
A. Losi Italy 14 590 1.0× 312 0.9× 52 0.6× 19 0.4× 8 0.5× 51 639

Countries citing papers authored by Byongjun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Byongjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byongjun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Byongjun Lee. A scholar is included among the top collaborators of Byongjun 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 Byongjun Lee. Byongjun 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, Byongjun, et al.. (2024). Estimation of maximum non‐synchronous generation of renewable energy in the South Korea power system based on the minimum level of inertia. IET Renewable Power Generation. 18(7). 1260–1268. 2 indexed citations
2.
3.
Choi, Sungyun, et al.. (2022). Mitigating Subsynchronous Torsional Interaction Using Geometric Feature Extraction Method. Sustainability. 14(23). 16110–16110. 2 indexed citations
4.
Kim, Jae-Kyeong, et al.. (2020). Understanding and Evaluating Systemwide Impacts of Uncertain Parameters in the Dynamic Load Model on Short-Term Voltage Stability. IEEE Transactions on Power Systems. 36(3). 2093–2102. 14 indexed citations
5.
Lee, Byongjun, et al.. (2019). Development of Floquet Multiplier Estimator to Determine Nonlinear Oscillatory Behavior in Power System Data Measurement. Energies. 12(10). 1824–1824. 1 indexed citations
6.
Lee, Byongjun, et al.. (2019). Impact of Momentary Cessation Voltage Level in Inverter-Based Resources on Increasing the Short Circuit Current. Sustainability. 11(4). 1153–1153. 11 indexed citations
7.
Lee, Byongjun, et al.. (2017). Steady-state inertia estimation using a neural network approach with modal information. 1–5. 29 indexed citations
8.
Lee, Byongjun, et al.. (2017). An Approach to Improve the Penetration of Sustainable Energy Using Optimal Transformer Tap Control. Sustainability. 9(9). 1536–1536. 6 indexed citations
9.
Lee, Hyun-Jae, Sehyun Kim, Kyeon Hur, et al.. (2016). Integrating TCSC to enhance transmission capability and security: Feasibility studies for Korean electric power system. 1–6. 1 indexed citations
10.
Kim, Jinho, et al.. (2015). Hierarchical Voltage Control of a Wind Power Plant Using the Adaptive IQ-V Characteristic of a Doubly-Fed Induction Generator. Journal of Electrical Engineering and Technology. 10(2). 504–510. 14 indexed citations
11.
Lee, Byongjun, et al.. (2014). Study on Current Limiting Characteristics of a Flux-locktype SFCL using Series Connected Two Coils with Twice Triggering Operation. Journal of Electrical Engineering and Technology. 9(3). 777–781. 8 indexed citations
12.
Lee, Byongjun, et al.. (2011). Determination of Reactive Power Compensation Considering Large Disturbances for Power Flow Solvability in the Korean Power System. Journal of Electrical Engineering and Technology. 6(2). 147–153. 5 indexed citations
13.
Song, Hwachang, et al.. (2011). Power grid node and line delta centrality measures for selection of critical lines in terms of blackouts with cascading failures. International journal of innovative computing, information & control. 7(3). 1321–1330. 4 indexed citations
14.
Song, Hwachang & Byongjun Lee. (2011). Identification of dynamic load model parameters using a hybrid PSO-simplex method. 5(11). 4021–4026. 2 indexed citations
15.
Lee, Byongjun, et al.. (2010). Centralized Control Algorithm for Power System Performance using FACTS Devices in the Korean Power System. Journal of Electrical Engineering and Technology. 5(3). 353–362. 4 indexed citations
16.
Lee, Byongjun, et al.. (2010). Protective Relay Tests of Hybrid SFCLs in a Korean Distribution Power System Using RTDS. IEEE Transactions on Applied Superconductivity. 21(3). 2188–2192. 8 indexed citations
17.
Song, Hwachang, Seul-Ki Kim, Byongjun Lee, Sae-Hyuk Kwon, & Venkataramana Ajjarapu. (2002). Determination of interface flow margin for voltage stability analysis using the modified continuation power flow. 1. 32–37. 4 indexed citations
18.
Jang, Gilsoo, et al.. (2001). Development of a Mixed Chaotic Electric Arc Furnace Model. 90–95.
19.
Lee, Byongjun, et al.. (2001). A Contingency Screening Algorithm Using SIME for Transient Stability Assessment of the KEPCO System. 11(1). 55–61. 2 indexed citations
20.
Lee, Byongjun. (1991). The application of bifurcation theory to study the nonlinear dynamical phenomena in an electrical power system. Iowa State University Digital Repository (Iowa State University). 5 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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