Sung‐Su Kim

947 citations
108 papers · 651 indexed · h-index 15
Topics
Bayesian Methods and Mixture Models (7 papers)Caching and Content Delivery (5 papers)Software System Performance and Reliability (4 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Sung‐Su Kim

88 papers receiving 611 citations

Peers

Sung‐Su Kim
Comparison fields: 5 of 140
  • Electrical and Electronic Engineering 88
  • Molecular Biology 81
  • Endocrinology, Diabetes and Metabolism 73
  • Control and Systems Engineering 56
  • Physiology 49
Replace Michiko Watanabe with:
Michiko Watanabe Japan
Hongyang Gao China
Lihong Ren China
Min Zeng China
Tengfei Yuan China
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Sung‐Su Kim relative to Michiko Watanabe Japan Michiko Watanabe's profile →
Citations per field
00.5×4.9×
Michiko Watanabe · 1×
Citations per year

Countries citing papers authored by Sung‐Su Kim

Since Specialization
Citations

This map shows the geographic impact of Sung‐Su 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‐Su 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‐Su Kim more than expected).

Fields of papers citing papers by Sung‐Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Su 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‐Su Kim. The network helps show where Sung‐Su Kim may publish in the future.

Co-authorship network of co-authors of Sung‐Su Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Su Kim. A scholar is included among the top collaborators of Sung‐Su 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‐Su Kim. Sung‐Su Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 2
4 0
5 1
6 3
7 10
8 2
9 0
10 8
11 14
12 9
13 21
14 4
15 58
16 8
17
Design of CAN Communication Interface possible for Error Detection that use for Embedded System
1
18
Hardware Implementation of a Neural Network Controller with an MCU and an FPGA for Nonlinear Systems
7
19
Implementation of an Intelligent Controller with a DSP and an FPGA for Nonlinear Systems
0
20
The Expression of Bcl-2 and Bax in Rat Hepatic Erythropoiesis.
1

About Sung‐Su Kim

Sung‐Su Kim is a scholar working on Statistics and Probability, Behavioral Neuroscience and Media Technology, having authored 108 papers that have together received 651 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Caching and Content Delivery (5 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (73 citations), Industrial and Manufacturing Engineering (41 citations) and Nephrology (29 citations). Sung‐Su Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include David A. Nembhard, Ashis SenGupta, Jong Ryeal Hahm, Hyunjoo Lee, Boi Hoa San, Kyeong Kyu Kim, Duk−Young Jung, Sang Hyun Moh, Jung Hwa Jung and Mun-Kyeom Kim. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

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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