Sunghoon Kwon

998 total citations
36 papers, 727 citations indexed

About

Sunghoon Kwon is a scholar working on Statistics and Probability, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Sunghoon Kwon has authored 36 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 9 papers in Control and Systems Engineering and 8 papers in Molecular Biology. Recurrent topics in Sunghoon Kwon's work include Statistical Methods and Inference (17 papers), Control Systems and Identification (7 papers) and Advanced Statistical Methods and Models (6 papers). Sunghoon Kwon is often cited by papers focused on Statistical Methods and Inference (17 papers), Control Systems and Identification (7 papers) and Advanced Statistical Methods and Models (6 papers). Sunghoon Kwon collaborates with scholars based in South Korea, United States and Russia. Sunghoon Kwon's co-authors include Yongdai Kim, Hosik Choi, Sangin Lee, Jeyong Yoon, Heekyoung Kang, Joonseon Jeong, Soojin Shim, Seok Hoon Hong, Kyung Hyun Ahn and Youdan Kim and has published in prestigious journals such as Nature Communications, Nano Letters and PLoS ONE.

In The Last Decade

Sunghoon Kwon

35 papers receiving 703 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunghoon Kwon South Korea 15 198 166 165 96 89 36 727
Yuchen Zhang China 19 525 2.7× 109 0.7× 37 0.2× 145 1.5× 95 1.1× 64 992
Qing Zhou United States 18 190 1.0× 1.0k 6.1× 62 0.4× 51 0.5× 121 1.4× 61 1.6k
Ji Chen China 24 110 0.6× 63 0.4× 11 0.1× 63 0.7× 50 0.6× 96 1.5k
Jianbo Chen China 15 225 1.1× 55 0.3× 12 0.1× 174 1.8× 20 0.2× 42 690
Xinxin Wang China 15 134 0.7× 75 0.5× 7 0.0× 62 0.6× 96 1.1× 44 549
Zhenhe Ma China 17 1.2k 5.8× 165 1.0× 6 0.0× 102 1.1× 26 0.3× 89 1.6k
Xuemei Dong China 17 175 0.9× 239 1.4× 4 0.0× 337 3.5× 62 0.7× 65 1.1k
Joakim Lindblad Sweden 16 102 0.5× 212 1.3× 4 0.0× 15 0.2× 176 2.0× 65 930

Countries citing papers authored by Sunghoon Kwon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sunghoon Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghoon Kwon. A scholar is included among the top collaborators of Sunghoon Kwon 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 Sunghoon Kwon. Sunghoon Kwon 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
1.
Kwon, Sunghoon, et al.. (2024). Concave penalized linear discriminant analysis on high dimensions. Communications for Statistical Applications and Methods. 31(4). 393–408. 2 indexed citations
2.
Zhao, Jun, et al.. (2023). New closed‐form efficient estimator for multivariate gamma distribution. Statistica Neerlandica. 77(4). 555–572. 2 indexed citations
3.
Kim, Dongshin, Sangin Lee, & Sunghoon Kwon. (2020). A Unified Algorithm for the Non-Convex Penalized Estimation: The ncpen Package. The R Journal. 12(2). 43–43. 3 indexed citations
4.
Lee, Yonghee, et al.. (2019). Barcode-free next-generation sequencing error validation for ultra-rare variant detection. Nature Communications. 10(1). 977–977. 14 indexed citations
5.
Na, Okyoung & Sunghoon Kwon. (2018). Non-convex penalized estimation for the AR process. Communications for Statistical Applications and Methods. 25(5). 453–470. 1 indexed citations
6.
Choi, Hosik, Jungsoo Gim, Sungho Won, et al.. (2017). Network analysis for count data with excess zeros. BMC Genetics. 18(1). 93–93. 15 indexed citations
7.
Jeon, Jong‐June, Sunghoon Kwon, & Hosik Choi. (2017). Homogeneity detection for the high-dimensional generalized linear model. Computational Statistics & Data Analysis. 114. 61–74. 7 indexed citations
8.
Kwon, Sunghoon, Sangin Lee, & Okyoung Na. (2016). Tuning parameter selection for the adaptive LASSO in the autoregressive model. Journal of the Korean Statistical Society. 46(2). 285–297. 16 indexed citations
9.
Kwon, Sunghoon, Jeongyoun Ahn, Woncheol Jang, Sangin Lee, & Yongdai Kim. (2016). A doubly sparse approach for group variable selection. Annals of the Institute of Statistical Mathematics. 69(5). 997–1025. 4 indexed citations
10.
Won, Sungho, Hosik Choi, Suyeon Park, et al.. (2015). Evaluation of Penalized and Nonpenalized Methods for Disease Prediction with Large-Scale Genetic Data. BioMed Research International. 2015. 1–10. 3 indexed citations
11.
Kim, Yongdai, Sunghoon Kwon, & Hosik Choi. (2012). Consistent model selection criteria on high dimensions. Journal of Machine Learning Research. 13(1). 1037–1057. 58 indexed citations
12.
La, Wan‐Geun, Sunghoon Kwon, Tae‐Jin Lee, et al.. (2012). The Effect of the Delivery Carrier on the Quality of Bone Formed via Bone Morphogenetic Protein‐2. Artificial Organs. 36(7). 642–647. 25 indexed citations
13.
Lee, Sangin, Yongdai Kim, & Sunghoon Kwon. (2012). Quadratic approximation for nonconvex penalized estimations with a diverging number of parameters. Statistics & Probability Letters. 82(9). 1710–1717. 3 indexed citations
14.
Chang, Keun-A, Jin Won Kim, Sung‐Eun Lee, et al.. (2011). Biphasic Electrical Currents Stimulation Promotes both Proliferation and Differentiation of Fetal Neural Stem Cells. PLoS ONE. 6(4). e18738–e18738. 115 indexed citations
15.
Kwon, Sunghoon & Yongdai Kim. (2011). Large sample properties of the smoothly clipped absolute deviation penalized maximum likelihood estimation on high dimensions. Statistica Sinica. 22(2). 19 indexed citations
16.
Lee, Hee Chul, Peter V. Pikhitsa, Junhoi Kim, et al.. (2010). Three-Dimensional Assembly of Nanoparticles from Charged Aerosols. Nano Letters. 11(1). 119–124. 94 indexed citations
17.
Choi, Hosik, et al.. (2010). Gene selection and prediction for cancer classification using support vector machines with a reject option. Computational Statistics & Data Analysis. 55(5). 1897–1908. 28 indexed citations
18.
Kim, Jin‐Seog, et al.. (2009). Boosting on the functional ANOVA decomposition. Statistics and Its Interface. 2(3). 361–368. 3 indexed citations
19.
Hong, Seok Hoon, Joonseon Jeong, Soojin Shim, et al.. (2007). Effect of electric currents on bacterial detachment and inactivation. Biotechnology and Bioengineering. 100(2). 379–386. 133 indexed citations
20.
Kwon, Sunghoon, et al.. (2003). EOG-based glasses-type wireless mouse for the disabled. 1. 592–592. 18 indexed citations

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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