Kwangsuk Lee

451 total citations
8 papers, 335 citations indexed

About

Kwangsuk Lee is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kwangsuk Lee has authored 8 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kwangsuk Lee's work include Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers) and Energy Load and Power Forecasting (3 papers). Kwangsuk Lee is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers) and Energy Load and Power Forecasting (3 papers). Kwangsuk Lee collaborates with scholars based in South Korea and Australia. Kwangsuk Lee's co-authors include Kyeon Hur, Min-Seung Ko, Jae-Kyeong Kim, Zhao Yang Dong, Changmin Lee, DaeEun Kim and Hagbae Kim and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Sustainable Energy.

In The Last Decade

Kwangsuk Lee

8 papers receiving 318 citations

Peers

Kwangsuk Lee
Min-Seung Ko South Korea
Zexian Sun China
Wumaier Tuerxun China
Bing Zeng China
Timing Li China
Zuhong Ou China
Luoxiao Yang Hong Kong
Sui Peng China
Jinjin Ding China
Manoharan Madhiarasan India
Min-Seung Ko South Korea
Kwangsuk Lee
Citations per year, relative to Kwangsuk Lee Kwangsuk Lee (= 1×) peers Min-Seung Ko

Countries citing papers authored by Kwangsuk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kwangsuk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangsuk Lee

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

All Works

8 of 8 papers shown
1.
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
2.
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
3.
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
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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
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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