Hoki Kim
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
-
- Plant-Microbe Interactions and Immunity
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 7
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- Advanced Neural Network Applications 3
- Digital Media Forensic Detection 2
- Co-authors
- Jaewook Lee (12 shared papers)Hanhong Bae (4 shared papers)Woojin Lee (2 shared papers)Young Hwan Park (2 shared papers)Sunkyung Yoon (1 shared paper)Chang-Ho Park (1 shared paper)Ratnesh Chandra Mishra (1 shared paper)Sang‐Tae Seo (1 shared paper)
- Journals
- Pattern Recognition (3 papers)IEEE Access (2 papers)IEEE Journal of Solid-State Circuits (2 papers)Applied Soft Computing (2 papers)Biological Control (2 papers)
- Partner nations
- South KoreaUnited StatesOman
In The Last Decade
Hoki Kim
24 papers receiving 519 citations
Peers
Comparison fields: 5 of 74
- Hardware and Architecture 84
- Plant Science 142
- Cell Biology 59
- Condensed Matter Physics 42
- Artificial Intelligence 118
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | 2012 | 66 | |
| 3 | 2021 | 52 | |
| 4 | 2008 | 49 | |
| 5 | 2005 | 38 | |
| 6 | 2022 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2007 | 28 | |
| 9 | 2002 | 24 | |
| 10 | 2018 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 14 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2010 | 3 | |
| 20 | 2024 | 2 |
About Hoki Kim
Hoki Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology and Plant Science, having authored 27 papers that have together received 534 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (7 papers), Advanced Neural Network Applications (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Advanced Electrical Measurement Techniques (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Digital Media Forensic Detection (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Hardware and Architecture (84 citations), Plant Science (142 citations), Cell Biology (59 citations), Condensed Matter Physics (42 citations) and Artificial Intelligence (118 citations). Hoki Kim has collaborated with scholars based in South Korea, United States and Oman. Frequent co-authors include Jaewook Lee, Hanhong Bae, Woojin Lee, Young Hwan Park, Sunkyung Yoon, Chang-Ho Park, Ratnesh Chandra Mishra, Sang‐Tae Seo, S.R. Whiteley and Lizhen Zheng. Their work appears in journals such as Pattern Recognition, IEEE Access, IEEE Journal of Solid-State Circuits, Applied Soft Computing and Biological Control.
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.