Junho Yim
Impact in
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Emotion and Mood Recognition
Papers in
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- Advanced Neural Network Applications 8
- Face and Expression Recognition 3
- Face recognition and analysis 2
- Multimodal Machine Learning Applications 1
- Image Enhancement Techniques 1
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Junmo Kim (9 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
- Electronics Letters (1 paper)ETRI Journal (1 paper)IEEE Transactions on Image Processing (1 paper)Advances in intelligent systems and computing (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- South KoreaCanada
In The Last Decade
Junho Yim
11 papers receiving 2.1k citations
Junho Yim's Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 1.6k
- Experimental and Cognitive Psychology 495
- Artificial Intelligence 921
- Signal Processing 175
- Media Technology 123
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 11 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 | 1107 |
| 2 | Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition Hit paper breakdown → | 2015 | 577 |
| 3 | 2015 | 213 | |
| 4 | 2019 | 203 | |
| 5 | 2015 | 60 | |
| 6 | 2020 | 25 | |
| 7 | 2023 | 8 | |
| 8 | 1998 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 2 | |
| 11 | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. | 2018 | 1 |
| 12 | Confidence Score Weighting Adaptation for Source-Free Unsupervised Domain Adaptation | 2021 | 1 |
| 13 | 2019 | 0 |
About Junho Yim
Junho Yim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Civil and Structural Engineering, Signal Processing and Experimental and Cognitive Psychology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (2 papers), Multimodal Machine Learning Applications (1 paper), VLSI and FPGA Design Techniques (1 paper), Image Enhancement Techniques (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Experimental and Cognitive Psychology (495 citations), Artificial Intelligence (921 citations), Signal Processing (175 citations) and Media Technology (123 citations). Junho Yim has collaborated with scholars based in South Korea and Canada. 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 Chong‐Min Kyung. Their work appears in journals such as Electronics Letters, ETRI Journal, IEEE Transactions on Image Processing, Advances in intelligent systems and computing and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.