Bongjin Jun
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Handwritten Text Recognition Techniques
- Video Surveillance and Tracking Methods
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Face and Expression Recognition 8
- Face recognition and analysis 6
- Video Surveillance and Tracking Methods 4
- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Handwritten Text Recognition Techniques 2
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- Speech and Audio Processing 2
- Biometric Identification and Security 2
- Co-authors
- Daijin Kim (10 shared papers)In-Ho Choi (1 shared paper)Hojin Cho (2 shared papers)Taewan Kim (1 shared paper)Bong-Nam Kang (2 shared papers)Hong-Mo Je (1 shared paper)Sung Soo Park (1 shared paper)Jinseok Lee (2 shared papers)
- Journals
- Pattern Recognition (2 papers)Pattern Recognition Letters (1 paper)Journal of Intelligent & Robotic Systems (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- South Korea
In The Last Decade
Bongjin Jun
13 papers receiving 403 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 382
- Media Technology 110
- Signal Processing 57
- Human-Computer Interaction 12
- Computational Mathematics 1
Countries citing papers authored by Bongjin Jun
This map shows the geographic impact of Bongjin Jun'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 Bongjin Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bongjin Jun more than expected).
Fields of papers citing papers by Bongjin Jun
This network shows the impact of papers produced by Bongjin Jun. 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 Bongjin Jun. The network helps show where Bongjin Jun may publish in the future.
Co-authors
The 22 scholars most cited alongside Bongjin Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 117 | |
| 2 | 2012 | 116 | |
| 3 | 2016 | 79 | |
| 4 | 2010 | 34 | |
| 5 | 2008 | 33 | |
| 6 | 2015 | 30 | |
| 7 | 2009 | 11 | |
| 8 | 2010 | 8 | |
| 9 | 2009 | 5 | |
| 10 | 2009 | 4 | |
| 11 | 2019 | 2 | |
| 12 | 2011 | 2 | |
| 13 | 2009 | 1 |
About Bongjin Jun
Bongjin Jun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Aerospace Engineering and Control and Systems Engineering, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Face recognition and analysis (6 papers), Video Surveillance and Tracking Methods (4 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Speech and Audio Processing (2 papers), Biometric Identification and Security (2 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (382 citations), Media Technology (110 citations), Signal Processing (57 citations), Human-Computer Interaction (12 citations) and Computational Mathematics (1 citation). Bongjin Jun has collaborated with scholars based in South Korea. Frequent co-authors include Daijin Kim, In-Ho Choi, Hojin Cho, Taewan Kim, Bong-Nam Kang, Hong-Mo Je, Sung Soo Park, Jinseok Lee, Ju Young Lee and Seunghun Jin. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, Journal of Intelligent & Robotic Systems and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.