Junho Yim
Impact in
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- Advanced Neural Network Applications
- Face recognition and analysis
- Face and Expression Recognition
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
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- Emotion and Mood Recognition
Papers in
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- Advanced Neural Network Applications 7
- Face recognition and analysis 2
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- Domain Adaptation and Few-Shot Learning 7
- Machine Learning and Data Classification 1
- Co-authors
- Junmo Kim (10 shared papers)Ji‐Hoon Bae (5 shared papers)Donggyu Joo (2 shared papers)Heechul Jung (3 shared papers)Sihaeng Lee (1 shared paper)Young‐Dong Kim (1 shared paper)Du‐Sik Park (1 shared paper)ByungIn Yoo (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (1 paper)ETRI Journal (1 paper)Electronics Letters (1 paper)Advances in intelligent systems and computing (1 paper)Proceedings - International Conference on Image Processing (1 paper)
- Partner nations
- South Korea
In The Last Decade
Junho Yim
10 papers receiving 2.3k citations
Junho Yim's Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 1.4k
- Experimental and Cognitive Psychology 524
- Artificial Intelligence 652
- Media Technology 60
- Signal Processing 33
Countries citing papers authored by Junho Yim
This map shows the geographic impact of Junho Yim'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 Junho Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junho Yim more than expected).
Fields of papers citing papers by Junho Yim
This network shows the impact of papers produced by Junho Yim. 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 Junho Yim. The network helps show where Junho Yim may publish in the future.
Co-authors
The 12 scholars most cited alongside Junho Yim, 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 | A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning Hit paper breakdown → | 2017 | 1193 |
| 2 | Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition Hit paper breakdown → | 2015 | 605 |
| 3 | 2019 | 226 | |
| 4 | 2015 | 221 | |
| 5 | 2015 | 60 | |
| 6 | 2020 | 28 | |
| 7 | 2023 | 9 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 3 | |
| 10 | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. | 2018 | 1 |
| 11 | Confidence Score Weighting Adaptation for Source-Free Unsupervised Domain Adaptation | 2021 | 1 |
| 12 | 2019 | 0 |
About Junho Yim
Junho Yim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 12 papers that have together received 2.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (7 papers), Face recognition and analysis (2 papers), Machine Learning and Data Classification (1 paper) and Emotion and Mood Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Experimental and Cognitive Psychology (524 citations), Artificial Intelligence (652 citations), Media Technology (60 citations) and Signal Processing (33 citations). Junho Yim has collaborated with scholars based in South Korea. Frequent co-authors include Junmo Kim, Ji‐Hoon Bae, Donggyu Joo, Heechul Jung, Sihaeng Lee, Young‐Dong Kim, Du‐Sik Park, ByungIn Yoo, Cheol‐Sig Pyo and Eunji Jun. Their work appears in journals such as IEEE Transactions on Image Processing, ETRI Journal, Electronics Letters, Advances in intelligent systems and computing and Proceedings - International Conference on Image Processing.
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.