Min-Seung Ko

412 total citations
14 papers, 304 citations indexed

About

Min-Seung Ko is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Min-Seung Ko has authored 14 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Min-Seung Ko's work include Energy Load and Power Forecasting (4 papers), Machine Fault Diagnosis Techniques (4 papers) and Solar Radiation and Photovoltaics (3 papers). Min-Seung Ko is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Machine Fault Diagnosis Techniques (4 papers) and Solar Radiation and Photovoltaics (3 papers). Min-Seung Ko collaborates with scholars based in South Korea, Australia and United States. Min-Seung Ko's co-authors include Kyeon Hur, Kwangsuk Lee, Jae-Kyeong Kim, Zhao Yang Dong, Changmin Lee, DaeEun Kim, Yong Soo Kim, Kyung Min Kim, Kai Sun and Jaeyong Lee and has published in prestigious journals such as IEEE Transactions on Power Systems, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Min-Seung Ko

12 papers receiving 289 citations

Peers

Min-Seung Ko
Kwangsuk Lee South Korea
Zexian Sun China
Lina Alhmoud Jordan
Changfei Zhao China
Jinlin Xiong China
Xinzhi Xu China
Zuhong Ou China
Jinjin Ding China
Sui Peng China
Bing Zeng China
Kwangsuk Lee South Korea
Min-Seung Ko
Citations per year, relative to Min-Seung Ko Min-Seung Ko (= 1×) peers Kwangsuk Lee

Countries citing papers authored by Min-Seung Ko

Since Specialization
Citations

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

Fields of papers citing papers by Min-Seung Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Seung Ko. 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 Min-Seung Ko. The network helps show where Min-Seung Ko may publish in the future.

Co-authorship network of co-authors of Min-Seung Ko

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

All Works

14 of 14 papers shown
1.
Ko, Min-Seung, Hao Zhu, & Kyeon Hur. (2025). Deterministic and Probabilistic Forecasting of Wind Power Generation and Ramp Rate With Expectation-Implemented Deep Learning. IEEE Transactions on Sustainable Energy. 17(1). 338–350.
2.
Ko, Min-Seung, et al.. (2023). Locating the Source of Oscillation With Two-Tier Dynamic Mode Decomposition Integrating Early-Stage Energy. IEEE Transactions on Power Systems. 39(4). 5535–5547. 2 indexed citations
3.
4.
Ko, Min-Seung, Kwangsuk Lee, & Kyeon Hur. (2022). Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting. IEEE Transactions on Industrial Informatics. 18(9). 6214–6223. 11 indexed citations
5.
Ko, Min-Seung, et al.. (2022). Estimation of Structural Mechanical Damping in Multi-mass of Turbine Generator for SSTI Study. Journal of Electrical Engineering and Technology. 17(3). 1639–1650. 2 indexed citations
6.
Lee, Jaeyong, Kyung Min Kim, Min-Seung Ko, & Yong Soo Kim. (2022). A study of the NF3 plasma etching reaction with cobalt oxide films grown on an inorganic compounds. Nuclear Engineering and Technology. 54(12). 4449–4459. 2 indexed citations
7.
Ko, Min-Seung, et al.. (2022). Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–1. 2 indexed citations
8.
Ko, Min-Seung, et al.. (2021). ConvNet-based Remaining Useful Life Prognosis of a Turbofan Engine. 190–193. 3 indexed citations
9.
Lee, Changmin, et al.. (2020). Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction. Sensors. 20(22). 6626–6626. 55 indexed citations
10.
11.
Ko, Min-Seung, et al.. (2020). Short-Term Power Load Forecasting of a Large Vessel using Deep Stacking Network Architecture. The Transactions of The Korean Institute of Electrical Engineers. 69(4). 534–541. 1 indexed citations
12.
13.
Ko, Min-Seung, et al.. (2020). Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting. IEEE Transactions on Sustainable Energy. 12(2). 1321–1335. 185 indexed citations
14.

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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2026