Jongmin Yu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Human-Computer Interaction top 10%
Papers in
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- Video Surveillance and Tracking Methods 10
- Human Pose and Action Recognition 7
- Advanced Neural Network Applications 6
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- Anomaly Detection Techniques and Applications 10
- Co-authors
- Moongu Jeon (21 shared papers)Sangwook Lee (2 shared papers)Sangwoo Park (1 shared paper)Younkwan Lee (5 shared papers)Kin‐Choong Yow (2 shared papers)Hyeontaek Oh (9 shared papers)Witold Pedrycz (2 shared papers)Jeonghwan Gwak (4 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (3 papers)Applied Intelligence (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)IEEE Access (2 papers)
- Partner nations
- South KoreaUnited KingdomAustralia
In The Last Decade
Jongmin Yu
36 papers receiving 505 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 234
- Human-Computer Interaction 49
- Experimental and Cognitive Psychology 101
- Artificial Intelligence 198
- Safety, Risk, Reliability and Quality 37
Countries citing papers authored by Jongmin Yu
This map shows the geographic impact of Jongmin Yu'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 Jongmin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongmin Yu more than expected).
Fields of papers citing papers by Jongmin Yu
This network shows the impact of papers produced by Jongmin Yu. 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 Jongmin Yu. The network helps show where Jongmin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongmin Yu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2021 | 74 | |
| 3 | 2021 | 42 | |
| 4 | 2017 | 35 | |
| 5 | 2024 | 32 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2014 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2015 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2016 | 7 |
About Jongmin Yu
Jongmin Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Civil and Structural Engineering and Human-Computer Interaction, having authored 40 papers that have together received 515 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (6 papers), Advanced Neural Network Applications (6 papers), Asphalt Pavement Performance Evaluation (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Human-Computer Interaction (49 citations), Experimental and Cognitive Psychology (101 citations), Artificial Intelligence (198 citations) and Safety, Risk, Reliability and Quality (37 citations). Jongmin Yu has collaborated with scholars based in South Korea, United Kingdom and Australia. Frequent co-authors include Moongu Jeon, Sangwook Lee, Sangwoo Park, Younkwan Lee, Kin‐Choong Yow, Hyeontaek Oh, Witold Pedrycz, Jeonghwan Gwak, Sangwoo Park and Du Yong Kim. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Applied Intelligence, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems and IEEE Access.
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.