Siwon Kim
Impact in
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Domain Adaptation and Few-Shot Learning
Papers in
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- Time Series Analysis and Forecasting 3
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- Advanced Battery Technologies Research 4
- Co-authors
- Sungroh Yoon (11 shared papers)Hyun-Soo Choi (6 shared papers)Eunji Kim (4 shared papers)Byunghan Lee (3 shared papers)Minji Seo (1 shared paper)Bongju Jeong (1 shared paper)Suhkmann Kim (9 shared papers)Seonwoo Min (4 shared papers)
- Journals
- IEEE Access (3 papers)Small (2 papers)Energy storage materials (2 papers)PLoS ONE (1 paper)Solar Energy Materials and Solar Cells (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Siwon Kim
37 papers receiving 675 citations
Peers
Comparison fields: 5 of 116
- Signal Processing 102
- Artificial Intelligence 289
- Health Informatics 7
- Industrial and Manufacturing Engineering 43
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Siwon Kim
This map shows the geographic impact of Siwon 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 Siwon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwon Kim more than expected).
Fields of papers citing papers by Siwon Kim
This network shows the impact of papers produced by Siwon 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 Siwon Kim. The network helps show where Siwon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Siwon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 123 | |
| 2 | 2021 | 98 | |
| 3 | 2022 | 35 | |
| 4 | 2007 | 35 | |
| 5 | 2008 | 28 | |
| 6 | 2021 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2021 | 25 | |
| 9 | 2023 | 25 | |
| 10 | 2016 | 25 | |
| 11 | 2016 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2019 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 13 |
About Siwon Kim
Siwon Kim is a scholar working on Signal Processing, Automotive Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 40 papers that have together received 698 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Advancements in Battery Materials (5 papers), Advanced Battery Technologies Research (4 papers), Organic Electronics and Photovoltaics (3 papers), Time Series Analysis and Forecasting (3 papers), Topic Modeling (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Signal Processing (102 citations), Artificial Intelligence (289 citations), Health Informatics (7 citations), Industrial and Manufacturing Engineering (43 citations) and Computer Vision and Pattern Recognition (79 citations). Siwon Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Sungroh Yoon, Hyun-Soo Choi, Eunji Kim, Byunghan Lee, Minji Seo, Bongju Jeong, Suhkmann Kim, Seonwoo Min, Dahye Yoon and Hong Rim Shin. Their work appears in journals such as IEEE Access, Small, Energy storage materials, PLoS ONE and Solar Energy Materials and Solar Cells.
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.