Sung-Suk Kim
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- Keun-Chang KwakChong‐Sun HwangMyung-Geun ChunDong‐Hwa KimJennifer ColeHongsoo KimJeung-Yoon ChoiA. S. Cohen
- Topics
- Neural Networks and Applications (6 papers)Fuzzy Logic and Control Systems (5 papers)Distributed systems and fault tolerance (4 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sung-Suk Kim
27 papers receiving 245 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 96
- Computer Networks and Communications 66
- Electrical and Electronic Engineering 65
- Signal Processing 48
- Control and Systems Engineering 44
Countries citing papers authored by Sung-Suk Kim
This map shows the geographic impact of Sung-Suk 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-Suk 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-Suk Kim more than expected).
Fields of papers citing papers by Sung-Suk Kim
This network shows the impact of papers produced by Sung-Suk 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-Suk Kim. The network helps show where Sung-Suk Kim may publish in the future.
Co-authorship network of co-authors of Sung-Suk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Suk Kim. A scholar is included among the top collaborators of Sung-Suk 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-Suk Kim. Sung-Suk 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 | 2 | |
| 2 | 2 | |
| 3 | he effects of pre-service early childhood teachers's stress coping style and ego-resilience on their happiness | 2 |
| 4 | The Development and Evaluation of a Program to Increase the Self-Esteem of Young Children | 1 |
| 5 | Multimodal Non-Cooperative User Identification Technique in Network-based Robot Environments | 1 |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 30 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 36 | |
| 17 | 7 | |
| 18 | Using UDP/IP over Ethernet for transmission of Industrial Real-Time Packet | 2 |
| 19 | 1 | |
| 20 | 3 |
About Sung-Suk Kim
Sung-Suk Kim is a scholar working on Leadership and Management, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 37 papers that have together received 281 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Signal Processing (48 citations), Artificial Intelligence (96 citations) and Hardware and Architecture (20 citations). Sung-Suk Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Keun-Chang Kwak, Chong‐Sun Hwang, Myung-Geun Chun, Dong‐Hwa Kim, Jennifer Cole, Hongsoo Kim, Jeung-Yoon Choi, A. S. Cohen, SangKeun Lee and Sarah Borys. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.
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.