Youngjun Yoo
Impact in
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- Industrial Vision Systems and Defect Detection
Papers in
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- Industrial Vision Systems and Defect Detection 7
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- Fault Detection and Control Systems 5
- Iterative Learning Control Systems 3
- Machine Fault Diagnosis Techniques 3
- Robotic Mechanisms and Dynamics 3
- Co-authors
- Seongcheol Jeong (1 shared paper)Yoon-Seok Kim (3 shared papers)Taeheon Lee (3 shared papers)Jeonghoon Mo (2 shared papers)Yong‐Keun Jung (1 shared paper)Nam Soon Kim (1 shared paper)Manho Kim (1 shared paper)Sungmin Song (1 shared paper)
- Journals
- International Journal of Precision Engineering and Manufacturing (3 papers)Applied Sciences (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Robotica (1 paper)Materials Today Energy (1 paper)
- Partner nations
- South KoreaFinlandUnited States
In The Last Decade
Youngjun Yoo
20 papers receiving 360 citations
Peers
Comparison fields: 5 of 104
- Control and Systems Engineering 83
- Industrial and Manufacturing Engineering 35
- Cell Biology 34
- Waste Management and Disposal 17
- Artificial Intelligence 63
Countries citing papers authored by Youngjun Yoo
This map shows the geographic impact of Youngjun Yoo'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 Youngjun Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngjun Yoo more than expected).
Fields of papers citing papers by Youngjun Yoo
This network shows the impact of papers produced by Youngjun Yoo. 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 Youngjun Yoo. The network helps show where Youngjun Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngjun Yoo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2009 | 51 | |
| 3 | 2023 | 35 | |
| 4 | 2019 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 24 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2011 | 2 | |
| 16 | Delay dependent stability condition for the port Hamiltonian systems with time varying delay | 2011 | 2 |
| 17 | 2014 | 2 | |
| 18 | 2025 | 1 | |
| 19 | Output feedback controller design of networked control systems with nonlinearity: An LMI approach | 2010 | 1 |
| 20 | 2013 | 1 |
About Youngjun Yoo
Youngjun Yoo is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Fault Detection and Control Systems (5 papers), Iterative Learning Control Systems (3 papers), Machine Fault Diagnosis Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Robotic Mechanisms and Dynamics (3 papers), Mineral Processing and Grinding (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Control and Systems Engineering (83 citations), Industrial and Manufacturing Engineering (35 citations), Cell Biology (34 citations), Waste Management and Disposal (17 citations) and Artificial Intelligence (63 citations). Youngjun Yoo has collaborated with scholars based in South Korea, Finland and United States. Frequent co-authors include Seongcheol Jeong, Yoon-Seok Kim, Taeheon Lee, Jeonghoon Mo, Yong‐Keun Jung, Nam Soon Kim, Manho Kim, Sungmin Song, Robert J. Ferrante and Jae-Woong Chang. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Applied Sciences, Engineering Applications of Artificial Intelligence, Robotica and Materials Today Energy.
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.