Jeesoo Kim
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
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- Biotin and Related Studies 5
- Cellular transport and secretion 3
- Co-authors
- Nojun Kwak (5 shared papers)Sangdoo Yun (2 shared papers)Hyojin Park (1 shared paper)Byeongho Heo (1 shared paper)Jin Young Choi (1 shared paper)Jisoo Jeong (1 shared paper)Seungeui Lee (1 shared paper)Jong‐Seo Kim (18 shared papers)
- Journals
- Molecular Cell (3 papers)Nucleic Acids Research (3 papers)Scientific Reports (3 papers)Nature Communications (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- South KoreaPuerto RicoEthiopia
In The Last Decade
Jeesoo Kim
32 papers receiving 1.2k citations
Jeesoo Kim's Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 455
- Artificial Intelligence 370
- Cancer Research 98
- Molecular Biology 373
- Cell Biology 87
Countries citing papers authored by Jeesoo Kim
This map shows the geographic impact of Jeesoo 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 Jeesoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeesoo Kim more than expected).
Fields of papers citing papers by Jeesoo Kim
This network shows the impact of papers produced by Jeesoo 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 Jeesoo Kim. The network helps show where Jeesoo Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeesoo Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Overhaul of Feature Distillation Hit paper breakdown → | 2019 | 375 |
| 2 | Consistency-based Semi-supervised Learning for Object detection | 2019 | 203 |
| 3 | 2021 | 100 | |
| 4 | 2021 | 70 | |
| 5 | 2021 | 67 | |
| 6 | 2020 | 56 | |
| 7 | 2018 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2024 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2023 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2024 | 13 |
About Jeesoo Kim
Jeesoo Kim is a scholar working on Molecular Biology, Cell Biology, Immunology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biotin and Related Studies (5 papers), Advanced Neural Network Applications (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Cellular transport and secretion (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (455 citations), Artificial Intelligence (370 citations), Cancer Research (98 citations), Molecular Biology (373 citations) and Cell Biology (87 citations). Jeesoo Kim has collaborated with scholars based in South Korea, Puerto Rico and Ethiopia. Frequent co-authors include Nojun Kwak, Sangdoo Yun, Hyojin Park, Byeongho Heo, Jin Young Choi, Jisoo Jeong, Seungeui Lee, Jong‐Seo Kim, V. Narry Kim and Yeon Choi. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Scientific Reports, Nature Communications and Journal of Cell Science.
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.