Seung‐Min Baek
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Aerospace Engineering
- Co-authors
- Soohee HanTae‐Yong KucJaemin BaekWookyong KwonSung Hyun KimA. V. BaryshevMitsuteru InoueSeonyoung Kim
- Topics
- Iterative Learning Control Systems (7 papers)Adaptive Control of Nonlinear Systems (6 papers)Photonic Crystals and Applications (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- South KoreaJapanChina
In The Last Decade
Seung‐Min Baek
31 papers receiving 252 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 150
- Electrical and Electronic Engineering 64
- Computer Vision and Pattern Recognition 49
- Mechanical Engineering 41
- Aerospace Engineering 34
Countries citing papers authored by Seung‐Min Baek
This map shows the geographic impact of Seung‐Min Baek'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 Seung‐Min Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Min Baek more than expected).
Fields of papers citing papers by Seung‐Min Baek
This network shows the impact of papers produced by Seung‐Min Baek. 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 Seung‐Min Baek. The network helps show where Seung‐Min Baek may publish in the future.
Co-authorship network of co-authors of Seung‐Min Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Min Baek. A scholar is included among the top collaborators of Seung‐Min Baek 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 Seung‐Min Baek. Seung‐Min Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | Performance Evaluation of Non-Coherent Detection Based Cyclic Code-Shift Keying | 2 |
| 12 | PAPR reduction of OFDM signal using an efficient SLM technique | 4 |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 28 | |
| 18 | 8 | |
| 19 | Design of An Intelligent Hybrid Controller for Autonomous Mobile Robot | 1 |
| 20 | Cell-Based Motion Control of Mobile Robots for Soccer Game | 1 |
About Seung‐Min Baek
Seung‐Min Baek is a scholar working on Acoustics and Ultrasonics, Control and Systems Engineering and Instrumentation, having authored 36 papers that have together received 267 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (7 papers), Adaptive Control of Nonlinear Systems (6 papers) and Photonic Crystals and Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (150 citations), Computer Vision and Pattern Recognition (49 citations) and Aerospace Engineering (34 citations). Seung‐Min Baek has collaborated with scholars based in South Korea, Japan and China. Frequent co-authors include Soohee Han, Tae‐Yong Kuc, Jaemin Baek, Wookyong Kwon, Sung Hyun Kim, A. V. Baryshev, Mitsuteru Inoue, Seonyoung Kim, Soo‐Im Choi and Jin‐Oh Kim. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.
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.