Sung-Jin Kim
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Jongyi HongEuiho SuhKyungsu KimJunmo KimByungju KimBrent Byunghoon KangSeung-Jae KimJunyeong Kim
- Topics
- Network Security and Intrusion Detection (7 papers)Advanced Malware Detection Techniques (7 papers)IoT and Edge/Fog Computing (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sung-Jin Kim
24 papers receiving 829 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 441
- Artificial Intelligence 292
- Computer Networks and Communications 261
- Information Systems 187
- Signal Processing 146
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-authorship network of co-authors of Sung-Jin Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Jin Kim. A scholar is included among the top collaborators of Sung-Jin 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 Sung-Jin Kim. Sung-Jin 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 | 75 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 50 | |
| 8 | 47 | |
| 9 | 22 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | Building the strategic CoP for implementing Six Sigma | 1 |
| 13 | Context-aware systems: A literature review and classificationbreakdown → | 377 |
| 14 | An Effective Metric for Measuring the Degree of Web Page Changes | 1 |
| 15 | Hand Command Synthesis Based on Hand Gesture Recognition | 3 |
| 16 | 10 | |
| 17 | An Efficient Index Structure for Semantic-based XML Keyword Search | 1 |
| 18 | Vehicle Recognition with Recognition of Vehicle Identification Mark and License Plate | 1 |
| 19 | 7 | |
| 20 | 2 |
About Sung-Jin Kim
Sung-Jin Kim is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 31 papers that have together received 896 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (441 citations), Signal Processing (146 citations) and Human-Computer Interaction (67 citations). Sung-Jin Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jongyi Hong, Euiho Suh, Kyungsu Kim, Junmo Kim, Byungju Kim, Brent Byunghoon Kang, Seung-Jae Kim, Junyeong Kim, Minuk Ma and Chang D. Yoo. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.