Sung-Min Kim

694 citations
51 papers · 459 indexed · h-index 11

Sung-Min Kim

41 papers receiving 433 citations

Peers

Sung-Min Kim
Comparison fields: 5 of 108
  • Safety, Risk, Reliability and Quality 43
  • Pollution 49
  • Building and Construction 56
  • Artificial Intelligence 133
  • Environmental Engineering 46
Replace Debopriya Roy Dipta with:
Debopriya Roy Dipta United States
Jiangfeng Xian China
Félix Biscarri Spain
Stephen Haben United Kingdom
Weiming Chen China
Nantian Huang China
Yan Gao China
João Moura Pires Portugal
Sung-Min Kim relative to Debopriya Roy Dipta United States Debopriya Roy Dipta's profile →
Citations per field
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Debopriya Roy Dipta · 1×
Citations per year

Countries citing papers authored by Sung-Min Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Sung-Min Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung-Min Kim Line = papers co-authored together Sung-Min Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20241
4 20230
5 20230
6 20231
7 20221
8 20210
9 202031
10 201997
11 201811
12 20172
13 20168
14 201536
15 20159
16
Observation impact estimation using a forecast sensitivity to observation (FSO) method in the global and east Asia regions
20132
17 20125
18
Development of Tools for calculating Forecast Sensitivities to the Initial Condition in the Korea Meteorological Administration (KMA) Unified Model (UM)
20113
19
Video Shot Retrieval in H.264/AVC compression domain
20060
20
A Hierarchical Microcalcification Detection Algorithm Using SVM in Korean Digital Mammography
20062

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), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Meteorological Phenomena and Simulations (3 papers), Geochemistry and Geologic Mapping (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Internet of Things and Social Network Interactions (3 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.

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