Hoki Kim
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Physics of Superconductivity and Magnetism
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 7
- Domain Adaptation and Few-Shot Learning 2
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- Advanced Neural Network Applications 3
- Co-authors
- Jaewook Lee (11 shared papers)Hanhong Bae (4 shared papers)Woojin Lee (2 shared papers)Young Hwan Park (2 shared papers)Sunkyung Yoon (1 shared paper)Sang‐Tae Seo (1 shared paper)Chang-Ho Park (1 shared paper)Ratnesh Chandra Mishra (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Biological Control (2 papers)IEEE Transactions on Applied Superconductivity (2 papers)IEEE Access (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Hoki Kim
22 papers receiving 388 citations
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 47
- Condensed Matter Physics 39
- Artificial Intelligence 105
- Plant Science 119
- Cell Biology 50
Countries citing papers authored by Hoki Kim
This map shows the geographic impact of Hoki 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 Hoki Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoki Kim more than expected).
Fields of papers citing papers by Hoki Kim
This network shows the impact of papers produced by Hoki 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 Hoki Kim. The network helps show where Hoki Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hoki 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2012 | 62 | |
| 3 | 2021 | 45 | |
| 4 | 2005 | 35 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 28 | |
| 7 | 2007 | 26 | |
| 8 | 2018 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2010 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Hoki Kim
Hoki Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Plant Science, having authored 23 papers that have together received 398 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (7 papers), Plant-Microbe Interactions and Immunity (4 papers), Advanced Neural Network Applications (3 papers), Ginseng Biological Effects and Applications (3 papers), Advanced Electrical Measurement Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Condensed Matter Physics (39 citations), Artificial Intelligence (105 citations), Plant Science (119 citations) and Cell Biology (50 citations). Hoki Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jaewook Lee, Hanhong Bae, Woojin Lee, Young Hwan Park, Sunkyung Yoon, Sang‐Tae Seo, Chang-Ho Park, Ratnesh Chandra Mishra, Xiaofan Meng and T. Van Duzer. Their work appears in journals such as Pattern Recognition, Biological Control, IEEE Transactions on Applied Superconductivity, IEEE Access and Applied Soft Computing.
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.