Donggyu Joo
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 5%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Junmo KimJunho YimJi‐Hoon BaeDoyeon Kim
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Advanced Neural Network Applications (5 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Journals
- Water ResearchIEEE Access2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Partner nations
- South KoreaCanada
In The Last Decade
Donggyu Joo
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 757
- Artificial Intelligence 641
- Media Technology 83
- Signal Processing 57
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Donggyu Joo
This map shows the geographic impact of Donggyu Joo'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 Donggyu Joo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donggyu Joo more than expected).
Fields of papers citing papers by Donggyu Joo
This network shows the impact of papers produced by Donggyu Joo. 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 Donggyu Joo. The network helps show where Donggyu Joo may publish in the future.
Co-authorship network of co-authors of Donggyu Joo
This figure shows the co-authorship network connecting the top 25 collaborators of Donggyu Joo. A scholar is included among the top collaborators of Donggyu Joo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donggyu Joo. Donggyu Joo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 39 | |
| 6 | 14 | |
| 7 | 27 | |
| 8 | 27 | |
| 9 | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. | 1 |
| 10 | A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learningbreakdown → | 970 |
| 11 | 45 |
About Donggyu Joo
Donggyu Joo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (757 citations), Artificial Intelligence (641 citations) and Media Technology (83 citations). Donggyu Joo has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Junmo Kim, Junho Yim, Ji‐Hoon Bae and Doyeon Kim. Their work appears in journals such as Water Research, IEEE Access and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.