Sung-Min Kim
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Building and Construction top 10%
- Computer Networks and Communications
- Co-authors
- Yosoon ChoiJangwon SuhYoung-Guk HaSeong-Hun ParkHyeong‐Dong ParkPeter KazanzidesMyung‐Sup KimJoongheon Kim
- Topics
- Solar Radiation and Photovoltaics (6 papers)Network Security and Intrusion Detection (4 papers)Advanced Malware Detection Techniques (4 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Sung-Min Kim
41 papers receiving 433 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 133
- Electrical and Electronic Engineering 88
- Computer Vision and Pattern Recognition 57
- Building and Construction 56
- Computer Networks and Communications 51
Countries citing papers authored by Sung-Min Kim
This map shows the geographic impact of Sung-Min 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-Min 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-Min Kim more than expected).
Fields of papers citing papers by Sung-Min Kim
This network shows the impact of papers produced by Sung-Min 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-Min Kim. The network helps show where Sung-Min Kim may publish in the future.
Co-authorship network of co-authors of Sung-Min Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Min Kim. A scholar is included among the top collaborators of Sung-Min 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-Min Kim. Sung-Min 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 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 31 | |
| 10 | 97 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 36 | |
| 15 | 9 | |
| 16 | Observation impact estimation using a forecast sensitivity to observation (FSO) method in the global and east Asia regions | 2 |
| 17 | 5 | |
| 18 | Development of Tools for calculating Forecast Sensitivities to the Initial Condition in the Korea Meteorological Administration (KMA) Unified Model (UM) | 3 |
| 19 | Video Shot Retrieval in H.264/AVC compression domain | 0 |
| 20 | A Hierarchical Microcalcification Detection Algorithm Using SVM in Korean Digital Mammography | 2 |
About Sung-Min Kim
Sung-Min Kim is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 51 papers that have together received 459 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (6 papers), Network Security and Intrusion Detection (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (43 citations), Pollution (49 citations) and Building and Construction (56 citations). Sung-Min Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Yosoon Choi, Jangwon Suh, Young-Guk Ha, Seong-Hun Park, Hyeong‐Dong Park, Peter Kazanzides, Myung‐Sup Kim, Joongheon Kim, Hyun Mee Kim and Jaesung Hong. Their work appears in journals such as Renewable Energy, Sensors and International Journal of Environmental Research and Public Health.
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.