Jaegul Choo
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Health Informatics top 2%
Papers in
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- Data Visualization and Analytics 30
- Video Analysis and Summarization 18
- Generative Adversarial Networks and Image Synthesis 15
- Image Retrieval and Classification Techniques 14
- Multimodal Machine Learning Applications 11
- Co-authors
- Haesun ParkShi‐Xia LiuChandan K. ReddyChanghyun LeeHan‐Seung LeeBum Chul KwonMinje ChoiYoungbin Kim
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Computer Graphics Forum (3 papers)Scientific Reports (2 papers)Journal of Medical Internet Research (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jaegul Choo
145 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 1.2k
- Health Informatics 61
- Artificial Intelligence 1.3k
- Signal Processing 280
- General Social Sciences 80
Countries citing papers authored by Jaegul Choo
This map shows the geographic impact of Jaegul Choo'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 Jaegul Choo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaegul Choo more than expected).
Fields of papers citing papers by Jaegul Choo
This network shows the impact of papers produced by Jaegul Choo. 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 Jaegul Choo. The network helps show where Jaegul Choo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaegul Choo, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 34 | |
| 16 | Learning Debiased Representation via Disentangled Feature Augmentation | 2021 | 8 |
| 17 | NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension | 2020 | 9 |
| 18 | Study on the Test and Visualization of Change in Structures Associated with the Occurrence of Non-Stationary of Long-Term Time Series Data Based on Unit Root Test | 2019 | 1 |
| 19 | STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. | 2019 | 27 |
| 20 | MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. | 2017 | 2 |
About Jaegul Choo
Jaegul Choo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Signal Processing and Transportation, having authored 159 papers that have together received 2.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (30 papers), Topic Modeling (25 papers), Video Analysis and Summarization (18 papers), Natural Language Processing Techniques (16 papers), Generative Adversarial Networks and Image Synthesis (15 papers), Image Retrieval and Classification Techniques (14 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Health Informatics (61 citations), Artificial Intelligence (1.3k citations), Signal Processing (280 citations) and General Social Sciences (80 citations). Jaegul Choo has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Haesun Park, Shi‐Xia Liu, Chandan K. Reddy, Changhyun Lee, Han‐Seung Lee, Bum Chul Kwon, Minje Choi, Chandan K. Reddy, Youngbin Kim and Hannah Kim. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Scientific Reports, Journal of Medical Internet Research and ACM Transactions on Knowledge Discovery from Data.
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.