Youngjun Yoo
Impact in
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- Industrial Vision Systems and Defect Detection
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Fault Detection and Control Systems 5
- Machine Fault Diagnosis Techniques 3
- Iterative Learning Control Systems 3
- Robotic Mechanisms and Dynamics 3
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- Industrial Vision Systems and Defect Detection 7
- Co-authors
- Seongcheol Jeong (1 shared paper)Taeheon Lee (3 shared papers)Yoon-Seok Kim (3 shared papers)Huikyong Lee (1 shared paper)Wooseok Im (1 shared paper)Robert J. Ferrante (1 shared paper)Manho Kim (1 shared paper)Hoon Ryu (1 shared paper)
- Journals
- International Journal of Precision Engineering and Manufacturing (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Applied Sciences (2 papers)Robotica (1 paper)Materials Today Energy (1 paper)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Youngjun Yoo
19 papers receiving 331 citations
Peers
Comparison fields: 5 of 102
- Industrial and Manufacturing Engineering 34
- Control and Systems Engineering 77
- Cell Biology 34
- Mechanical Engineering 65
- Artificial Intelligence 54
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2009 | 50 | |
| 3 | 2023 | 28 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2013 | 1 | |
| 19 | Output feedback controller design of networked control systems with nonlinearity: An LMI approach | 2010 | 1 |
| 20 | Congruence between Actual/Social Self-Images, and Brand Images of Preferred Hotels -The Case of Top-Class Hotels in Seoul, Korea- | 2010 | 0 |
About Youngjun Yoo
Youngjun Yoo is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, having authored 22 papers that have together received 339 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Fault Detection and Control Systems (5 papers), Anomaly Detection Techniques and Applications (3 papers), Machine Fault Diagnosis Techniques (3 papers), Iterative Learning Control Systems (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 Industrial and Manufacturing Engineering (34 citations), Control and Systems Engineering (77 citations), Cell Biology (34 citations), Mechanical Engineering (65 citations) and Artificial Intelligence (54 citations). Youngjun Yoo has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Seongcheol Jeong, Taeheon Lee, Yoon-Seok Kim, Huikyong Lee, Wooseok Im, Robert J. Ferrante, Manho Kim, Hoon Ryu, Yong‐Keun Jung and Nam Soon Kim. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Engineering Applications of Artificial Intelligence, Applied Sciences, 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.