Joonsang Yu
Impact in
-
- Error Correcting Code Techniques
- Artificial Intelligence top 10%
- Stochastic Gradient Optimization Techniques
- Neural Networks and Applications
Papers in
-
- Advanced Neural Network Applications 9
-
- Neural Networks and Applications 4
- Domain Adaptation and Few-Shot Learning 4
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ki‐Young Choi (7 shared papers)Jongeun Lee (3 shared papers)Jungki Kim (1 shared paper)Seongmin Park (1 shared paper)Jungwook Choi (1 shared paper)Dong Hyun Lee (1 shared paper)Youngsok Kim (3 shared papers)Noseong Park (2 shared papers)
- Journals
- Journal of Signal Processing Systems (1 paper)Proceedings of the 59th ACM/IEEE Design Automation Conference (2 papers)Seoul National University Open Repository (Seoul National University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- South KoreaCanada
In The Last Decade
Joonsang Yu
16 papers receiving 289 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 149
- Artificial Intelligence 168
- Computer Vision and Pattern Recognition 79
- Hardware and Architecture 24
- Electrical and Electronic Engineering 162
Countries citing papers authored by Joonsang Yu
This map shows the geographic impact of Joonsang 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 Joonsang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joonsang Yu more than expected).
Fields of papers citing papers by Joonsang Yu
This network shows the impact of papers produced by Joonsang 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 Joonsang Yu. The network helps show where Joonsang Yu may publish in the future.
Co-authors
The 19 scholars most cited alongside Joonsang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 143 | |
| 2 | 2017 | 46 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 10 | |
| 6 | 2024 | 8 | |
| 7 | 2016 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2017 | 1 |
About Joonsang Yu
Joonsang Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 16 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Neural Networks and Applications (4 papers), Advanced Memory and Neural Computing (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Adversarial Robustness in Machine Learning (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (149 citations), Artificial Intelligence (168 citations), Computer Vision and Pattern Recognition (79 citations), Hardware and Architecture (24 citations) and Electrical and Electronic Engineering (162 citations). Joonsang Yu has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Ki‐Young Choi, Jongeun Lee, Jungki Kim, Seongmin Park, Jungwook Choi, Dong Hyun Lee, Youngsok Kim, Noseong Park, Jinho Lee and Youngjoon Yoo. Their work appears in journals such as Journal of Signal Processing Systems, Proceedings of the 59th ACM/IEEE Design Automation Conference, Seoul National University Open Repository (Seoul National University), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.