Changyi Park

429 total citations
27 papers, 277 citations indexed

About

Changyi Park is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Changyi Park has authored 27 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Changyi Park's work include Gene expression and cancer classification (9 papers), Face and Expression Recognition (8 papers) and Genetic Associations and Epidemiology (4 papers). Changyi Park is often cited by papers focused on Gene expression and cancer classification (9 papers), Face and Expression Recognition (8 papers) and Genetic Associations and Epidemiology (4 papers). Changyi Park collaborates with scholars based in South Korea, United States and Canada. Changyi Park's co-authors include Insuk Sohn, Ja‐Yong Koo, Sin‐Ho Jung, Jin‐Seog Kim, Engin A. Sungur, Jong‐Min Kim, Yoonkyung Lee, Yoonsung Jung, Ja-Yong Koo and Kap‐Hoon Han and has published in prestigious journals such as Bioinformatics, Genetics and BMC Bioinformatics.

In The Last Decade

Changyi Park

23 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changyi Park South Korea	9	77	76	75	46	26	27	277
Jooyong Shim South Korea	10	85 1.1×	113 1.5×	77 1.0×	48 1.0×	9 0.3×	63	382
Jarkko Tikka Finland	8	51 0.7×	35 0.5×	62 0.8×	23 0.5×	22 0.8×	14	242
Yuan‐chin Ivan Chang Taiwan	15	108 1.4×	124 1.6×	137 1.8×	26 0.6×	2 0.1×	46	517
Eun Ryung Lee South Korea	7	18 0.2×	191 2.5×	69 0.9×	131 2.8×	29 1.1×	23	459
Hossein Jafari Iran	10	68 0.9×	30 0.4×	76 1.0×	17 0.4×	2 0.1×	38	296
Zhuang Ma China	6	78 1.0×	18 0.2×	61 0.8×	34 0.7×	4 0.2×	26	223
Fengrong Wei United States	8	68 0.9×	436 5.7×	145 1.9×	39 0.8×	65 2.5×	14	597
Carlos Tenreiro Portugal	10	59 0.8×	143 1.9×	49 0.7×	8 0.2×	5 0.2×	30	359
Haipeng Xing United States	11	84 1.1×	86 1.1×	72 1.0×	8 0.2×	4 0.2×	33	442
Paweł Teisseyre Poland	10	60 0.8×	18 0.2×	100 1.3×	44 1.0×	2 0.1×	27	233

Countries citing papers authored by Changyi Park

Since Specialization

Citations

This map shows the geographic impact of Changyi Park'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 Changyi Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyi Park more than expected).

Fields of papers citing papers by Changyi Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changyi Park. 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 Changyi Park. The network helps show where Changyi Park may publish in the future.

Co-authorship network of co-authors of Changyi Park

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

All Works

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20 of 20 papers shown

Park, Changyi, et al.. (2023). Multiclass Laplacian support vector machine with functional analysis of variance decomposition. Computational Statistics & Data Analysis. 187. 107814–107814.

Park, Changyi, et al.. (2021). Comparison of nonlinear classification methods for image data. Journal of the Korean Data and Information Science Society. 32(4). 767–780. 1 indexed citations

Park, Cheolwoo, et al.. (2021). Classification of histogram-valued data with support histogram machines. Journal of Applied Statistics. 50(3). 675–690.

Kim, Kwangrae, et al.. (2020). Nonparametric matrix regression function estimation over symmetric positive definite matrices. Journal of the Korean Statistical Society. 50(3). 795–817. 1 indexed citations

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

Gim, Jungsoo, Wonji Kim, Soo Heon Kwak, et al.. (2017). Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data. Genetics. 207(3). 1147–1155. 8 indexed citations

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

Choi, Hosik, Ja‐Yong Koo, & Changyi Park. (2014). Fused least absolute shrinkage and selection operator for credit scoring. Journal of Statistical Computation and Simulation. 85(11). 2135–2147. 3 indexed citations

Kim, Kwangrae, et al.. (2013). Variable Selection for Naive Bayes Semisupervised Learning. Communications in Statistics - Simulation and Computation. 43(10). 2702–2713. 2 indexed citations

10.

Choi, Hosik, et al.. (2013). Support vector machines for big data analysis. Journal of the Korean Data and Information Science Society. 24(5). 989–998. 5 indexed citations

11.

Park, Changyi, et al.. (2012). Oracle properties of SCAD-penalized support vector machine. Journal of Statistical Planning and Inference. 142(8). 2257–2270. 23 indexed citations

12.

Kim, Jin‐Seog, Insuk Sohn, Sin‐Ho Jung, Sujong Kim, & Changyi Park. (2012). Analysis of Survival Data with Group Lasso. Communications in Statistics - Simulation and Computation. 41(9). 1593–1605. 15 indexed citations

13.

Sohn, Insuk, Jin‐Seog Kim, Sin‐Ho Jung, & Changyi Park. (2009). Gradient lasso for Cox proportional hazards model. Bioinformatics. 25(14). 1775–1781. 51 indexed citations

14.

Koo, Ja-Yong, et al.. (2008). A Bahadur Representation of the Linear Support Vector Machine. Journal of Machine Learning Research. 9(44). 1343–1368. 31 indexed citations

15.

Kim, Jong‐Min, Yoonsung Jung, Engin A. Sungur, et al.. (2008). A copula method for modeling directional dependence of genes. BMC Bioinformatics. 9(1). 225–225. 48 indexed citations

16.

Koo, Ja‐Yong, Changyi Park, & Myoungshic Jhun. (2008). A classification spline machine for building a credit scorecard. Journal of Statistical Computation and Simulation. 79(5). 681–689. 4 indexed citations

17.

Park, Changyi, Ja‐Yong Koo, Peter T. Kim, & Jae Won Lee. (2008). Stepwise feature selection using generalized logistic loss. Computational Statistics & Data Analysis. 52(7). 3709–3718. 13 indexed citations

18.

Park, Changyi. (2005). Generalization error rates for margin-based classifiers. OhioLink ETD Center (Ohio Library and Information Network).

19.

Goel, Prem K., Mark R. McCord, & Changyi Park. (2005). Exploiting Correlations between Link Flows to Improve Estimation of Average Annual Daily Traffic on Coverage Count Segments. Transportation Research Record Journal of the Transportation Research Board. 1917(1). 100–107. 5 indexed citations

20.

Goel, Prem K., Mark R. McCord, & Changyi Park. (2005). Exploiting Correlations Between Link Flows to Improve Estimation of Average Annual Daily Traffic on Coverage Count Segments: Methodology and Numerical Study. Transportation Research Record Journal of the Transportation Research Board. 1917. 100–107. 8 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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