Taeuk Kim
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Information Systems
- Genetics
- Co-authors
- Sang‐goo LeeKang Min YooSoyoun KimJi‐Hoon KimMartin FusseneggerDavid G. MooreJihun ChoiDaniel Edmiston
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (15 papers)Multimodal Machine Learning Applications (6 papers)
- Partner nations
- South KoreaSwitzerlandUnited States
In The Last Decade
Taeuk Kim
21 papers receiving 295 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 214
- Computer Vision and Pattern Recognition 54
- Molecular Biology 50
- Information Systems 18
- Genetics 9
Countries citing papers authored by Taeuk Kim
This map shows the geographic impact of Taeuk Kim'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 Taeuk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taeuk Kim more than expected).
Fields of papers citing papers by Taeuk Kim
This network shows the impact of papers produced by Taeuk Kim. 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 Taeuk Kim. The network helps show where Taeuk Kim may publish in the future.
Co-authorship network of co-authors of Taeuk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Taeuk Kim. A scholar is included among the top collaborators of Taeuk Kim 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 Taeuk Kim. Taeuk Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 115 | |
| 11 | 3 | |
| 12 | Multilingual Zero-shot Constituency Parsing. | 1 |
| 13 | Chart-based Zero-shot Constituency Parsing on Multiple Languages | 1 |
| 14 | 11 | |
| 15 | 38 | |
| 16 | Cell-aware Stacked LSTMs for Modeling Sentences | 1 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 21 |
About Taeuk Kim
Taeuk Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 24 papers that have together received 302 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (214 citations), Computer Vision and Pattern Recognition (54 citations) and Computational Mathematics (1 citation). Taeuk Kim has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Sang‐goo Lee, Kang Min Yoo, Soyoun Kim, Ji‐Hoon Kim, Martin Fussenegger, David G. Moore, Jihun Choi, Daniel Edmiston, Sang-goo Lee and Sang‐Woo Lee. Their work appears in journals such as Journal of Biotechnology, Metabolic Engineering and BioTechniques.
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.