Sohee Yang
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- Domain Adaptation and Few-Shot Learning
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 3
- Handwritten Text Recognition Techniques 2
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Minjoon Seo (10 shared papers)Jinyeong Yim (2 shared papers)Seunghyun Park (2 shared papers)Wonseok Hwang (2 shared papers)Joel Jang (4 shared papers)Chang-Ho Lee (1 shared paper)Sungmin Cha (1 shared paper)Lajanugen Logeswaran (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Journal of KIISE (1 paper)arXiv (Cornell University) (1 paper)Korean Journal of Environmental Agriculture (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Sohee Yang
18 papers receiving 150 citations
Peers
Comparison fields: 5 of 41
- Health Informatics 6
- Artificial Intelligence 114
- Computer Vision and Pattern Recognition 58
- Information Systems 17
- Management Science and Operations Research 6
Countries citing papers authored by Sohee Yang
This map shows the geographic impact of Sohee Yang'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 Sohee Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sohee Yang more than expected).
Fields of papers citing papers by Sohee Yang
This network shows the impact of papers produced by Sohee Yang. 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 Sohee Yang. The network helps show where Sohee Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sohee Yang, 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 | 2021 | 46 | |
| 2 | 2022 | 29 | |
| 3 | 2023 | 27 | |
| 4 | 2020 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2024 | 8 | |
| 7 | 2019 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 3 | |
| 11 | Spatial Dependency Parsing for 2D Document Understanding | 2020 | 2 |
| 12 | 2025 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2020 | 0 |
About Sohee Yang
Sohee Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Infectious Diseases and Molecular Biology, having authored 20 papers that have together received 156 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Multimodal Machine Learning Applications (3 papers), Speech and dialogue systems (2 papers), Handwritten Text Recognition Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Plant Growth Enhancement Techniques (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (114 citations), Computer Vision and Pattern Recognition (58 citations), Information Systems (17 citations) and Management Science and Operations Research (6 citations). Sohee Yang has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Minjoon Seo, Jinyeong Yim, Seunghyun Park, Wonseok Hwang, Joel Jang, Chang-Ho Lee, Sungmin Cha, Lajanugen Logeswaran, Joongbo Shin and Jung-Woo Ha. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Proceedings of the AAAI Conference on Artificial Intelligence, Journal of KIISE, arXiv (Cornell University) and Korean Journal of Environmental Agriculture.
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.