Sung-Jin Kim
Impact in
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- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 7
- IoT and Edge/Fog Computing 3
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- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Euiho Suh (2 shared papers)Jongyi Hong (2 shared papers)Kyungsu Kim (3 shared papers)Byungju Kim (1 shared paper)Junmo Kim (1 shared paper)Brent Byunghoon Kang (3 shared papers)Seung-Jae Kim (2 shared papers)Chang D. Yoo (2 shared papers)
- Journals
- IEEE Access (5 papers)Expert Systems with Applications (2 papers)Information Sciences (1 paper)Scientific Reports (1 paper)Cancers (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sung-Jin Kim
24 papers receiving 829 citations
Sung-Jin Kim's Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 441
- Signal Processing 146
- Human-Computer Interaction 67
- Computer Networks and Communications 261
- Artificial Intelligence 292
Countries citing papers authored by Sung-Jin Kim
This map shows the geographic impact of Sung-Jin 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 Sung-Jin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Jin Kim more than expected).
Fields of papers citing papers by Sung-Jin Kim
This network shows the impact of papers produced by Sung-Jin 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 Sung-Jin Kim. The network helps show where Sung-Jin Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung-Jin 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Context-aware systems: A literature review and classification Hit paper breakdown → | 2008 | 377 |
| 2 | 2019 | 160 | |
| 3 | 2020 | 75 | |
| 4 | 2019 | 50 | |
| 5 | 2012 | 49 | |
| 6 | 2018 | 47 | |
| 7 | 2018 | 22 | |
| 8 | 2015 | 22 | |
| 9 | 2019 | 16 | |
| 10 | 2007 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2003 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 1996 | 6 | |
| 18 | Hand Command Synthesis Based on Hand Gesture Recognition | 2007 | 3 |
| 19 | 2020 | 3 | |
| 20 | 2000 | 2 |
About Sung-Jin Kim
Sung-Jin Kim is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 31 papers that have together received 896 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (7 papers), IoT and Edge/Fog Computing (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Technology and Data Analysis (3 papers), Adversarial Robustness in Machine Learning (2 papers), Hand Gesture Recognition Systems (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (441 citations), Signal Processing (146 citations), Human-Computer Interaction (67 citations), Computer Networks and Communications (261 citations) and Artificial Intelligence (292 citations). Sung-Jin Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Euiho Suh, Jongyi Hong, Kyungsu Kim, Byungju Kim, Junmo Kim, Brent Byunghoon Kang, Seung-Jae Kim, Chang D. Yoo, Minuk Ma and Junyeong Kim. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Information Sciences, Scientific Reports and Cancers.
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.