Nojun Kwak
Impact in
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
Papers in
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- Face and Expression Recognition 30
- Advanced Neural Network Applications 24
- Advanced Image and Video Retrieval Techniques 17
- Multimodal Machine Learning Applications 13
- Advanced Vision and Imaging 10
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- Domain Adaptation and Few-Shot Learning 21
- Neural Networks and Applications 13
- Co-authors
- Chong‐Ho Choi (7 shared papers)Jeesoo Kim (5 shared papers)Jisoo Jeong (8 shared papers)Hyojin Park (6 shared papers)Sangdoo Yun (3 shared papers)Seungeui Lee (7 shared papers)Byeongho Heo (1 shared paper)Jin Young Choi (1 shared paper)
- Journals
- IEEE Access (10 papers)Pattern Recognition (6 papers)Pattern Recognition Letters (3 papers)IEEE Transactions on Cybernetics (3 papers)Journal of Alloys and Compounds (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Nojun Kwak
137 papers receiving 4.3k citations
Nojun Kwak's Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 1.9k
- Signal Processing 519
- Computational Mathematics 25
- Media Technology 351
Countries citing papers authored by Nojun Kwak
This map shows the geographic impact of Nojun Kwak'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 Nojun Kwak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nojun Kwak more than expected).
Fields of papers citing papers by Nojun Kwak
This network shows the impact of papers produced by Nojun Kwak. 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 Nojun Kwak. The network helps show where Nojun Kwak may publish in the future.
Co-authors
The 25 scholars most cited alongside Nojun Kwak, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Input feature selection for classification problems Hit paper breakdown → | 2002 | 699 |
| 2 | Principal Component Analysis Based on L1-Norm Maximization Hit paper breakdown → | 2008 | 594 |
| 3 | Input feature selection by mutual information based on Parzen window Hit paper breakdown → | 2002 | 482 |
| 4 | A Comprehensive Overhaul of Feature Distillation Hit paper breakdown → | 2019 | 375 |
| 5 | Consistency-based Semi-supervised Learning for Object detection | 2019 | 203 |
| 6 | 2007 | 127 | |
| 7 | 2020 | 113 | |
| 8 | 2019 | 111 | |
| 9 | 2013 | 104 | |
| 10 | 2019 | 73 | |
| 11 | 2021 | 59 | |
| 12 | 2019 | 53 | |
| 13 | 2013 | 52 | |
| 14 | 2021 | 48 | |
| 15 | 2021 | 42 | |
| 16 | 2013 | 38 | |
| 17 | 2019 | 37 | |
| 18 | 2003 | 36 | |
| 19 | 2021 | 35 | |
| 20 | 2016 | 35 |
About Nojun Kwak
Nojun Kwak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Aerospace Engineering, having authored 152 papers that have together received 4.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (30 papers), Advanced Neural Network Applications (24 papers), Domain Adaptation and Few-Shot Learning (21 papers), Advanced Image and Video Retrieval Techniques (17 papers), Blind Source Separation Techniques (14 papers), Multimodal Machine Learning Applications (13 papers), Neural Networks and Applications (13 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Artificial Intelligence (1.9k citations), Signal Processing (519 citations), Computational Mathematics (25 citations) and Media Technology (351 citations). Nojun Kwak has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chong‐Ho Choi, Jeesoo Kim, Jisoo Jeong, Hyojin Park, Sangdoo Yun, Seungeui Lee, Byeongho Heo, Jin Young Choi, In-Ho Kang and Sungheon Park. Their work appears in journals such as IEEE Access, Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Cybernetics and Journal of Alloys and Compounds.
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.