Sunghoon Kwon
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
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- Neuroscience and Neural Engineering
Papers in
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- Statistical Methods and Inference 17
- Advanced Statistical Methods and Models 6
- Statistical Methods and Bayesian Inference 4
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- Control Systems and Identification 7
- Fault Detection and Control Systems 3
- Co-authors
- Yongdai Kim (12 shared papers)Hosik Choi (7 shared papers)Sangin Lee (9 shared papers)Soojin Shim (1 shared paper)Heekyoung Kang (1 shared paper)Kyung Hyun Ahn (1 shared paper)Seok Hoon Hong (1 shared paper)Jeyong Yoon (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (7 papers)Artificial Organs (1 paper)Biotechnology and Bioengineering (1 paper)Nature Communications (1 paper)The R Journal (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Sunghoon Kwon
35 papers receiving 703 citations
Peers
Comparison fields: 5 of 131
- Statistics and Probability 165
- Cellular and Molecular Neuroscience 85
- Biomedical Engineering 198
- Human-Computer Interaction 19
- Computational Mathematics 2
Countries citing papers authored by Sunghoon Kwon
This map shows the geographic impact of Sunghoon Kwon'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 Sunghoon Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghoon Kwon more than expected).
Fields of papers citing papers by Sunghoon Kwon
This network shows the impact of papers produced by Sunghoon Kwon. 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 Sunghoon Kwon. The network helps show where Sunghoon Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunghoon Kwon, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 133 | |
| 2 | 2011 | 115 | |
| 3 | 2010 | 94 | |
| 4 | Consistent model selection criteria on high dimensions | 2012 | 58 |
| 5 | 2010 | 28 | |
| 6 | 2012 | 28 | |
| 7 | 2006 | 26 | |
| 8 | 2012 | 25 | |
| 9 | 2015 | 25 | |
| 10 | 2011 | 19 | |
| 11 | A New Algorithm and Theory for Penalized Regression-based Clustering. | 2016 | 19 |
| 12 | 2003 | 18 | |
| 13 | 2016 | 16 | |
| 14 | 2017 | 15 | |
| 15 | LARGE SAMPLE PROPERTIES OF THE SCAD-PENALIZED MAXIMUM LIKELIHOOD ESTIMATION ON HIGH DIMENSIONS | 2012 | 15 |
| 16 | 2019 | 14 | |
| 17 | 2016 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2017 | 8 | |
| 20 | 2015 | 8 |
About Sunghoon Kwon
Sunghoon Kwon is a scholar working on Statistics and Probability, Control and Systems Engineering, Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 727 indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Control Systems and Identification (7 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Bayesian Inference (4 papers), Face and Expression Recognition (4 papers), Gene expression and cancer classification (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Statistics and Probability (165 citations), Cellular and Molecular Neuroscience (85 citations), Biomedical Engineering (198 citations), Human-Computer Interaction (19 citations) and Computational Mathematics (2 citations). Sunghoon Kwon has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Yongdai Kim, Hosik Choi, Sangin Lee, Soojin Shim, Heekyoung Kang, Kyung Hyun Ahn, Seok Hoon Hong, Jeyong Yoon, Joonseon Jeong and Youdan Kim. Their work appears in journals such as Computational Statistics & Data Analysis, Artificial Organs, Biotechnology and Bioengineering, Nature Communications and The R Journal.
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.