Sun Young Hwang

2.6k total citations
125 papers, 2.0k citations indexed

About

Sun Young Hwang is a scholar working on Finance, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Sun Young Hwang has authored 125 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Finance, 32 papers in Statistics and Probability and 28 papers in Economics and Econometrics. Recurrent topics in Sun Young Hwang's work include Financial Risk and Volatility Modeling (49 papers), Statistical Methods and Inference (23 papers) and Market Dynamics and Volatility (21 papers). Sun Young Hwang is often cited by papers focused on Financial Risk and Volatility Modeling (49 papers), Statistical Methods and Inference (23 papers) and Market Dynamics and Volatility (21 papers). Sun Young Hwang collaborates with scholars based in South Korea, United States and Ethiopia. Sun Young Hwang's co-authors include I. V. Basawa, Yong Ho Park, Young Kwan Sung, Hye Cheong Koo, Mi Kyung Park, Yeonho Jeong, Young Kyung Park, Han Ik Bae, Jungchul Kim and Tae Yoon Kim and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Food Chemistry.

In The Last Decade

Sun Young Hwang

113 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Young Hwang South Korea 27 497 346 335 241 183 125 2.0k
Xuejun Wang China 26 647 1.3× 121 0.3× 178 0.5× 229 1.0× 5 0.0× 147 2.2k
Yukun Liu China 17 124 0.2× 85 0.2× 262 0.8× 292 1.2× 102 0.6× 92 1.4k
Ying Chen China 26 663 1.3× 29 0.1× 733 2.2× 9 0.0× 27 0.1× 150 2.5k
Xibin Zhang China 26 208 0.4× 213 0.6× 67 0.2× 188 0.8× 900 4.9× 101 2.3k
Xin Deng China 38 5.2k 10.6× 49 0.1× 458 1.4× 94 0.4× 6 0.0× 180 7.4k
Shujie Ma China 23 135 0.3× 77 0.2× 57 0.2× 545 2.3× 154 0.8× 102 1.5k
Yingchun Liu China 22 1.2k 2.3× 99 0.3× 78 0.2× 2 0.0× 171 0.9× 112 2.3k
Stephen G. Walker United States 24 720 1.4× 4 0.0× 135 0.4× 41 0.2× 30 0.2× 70 2.2k
Pedro Eduardo Ferreira Portugal 24 88 0.2× 23 0.1× 175 0.5× 102 0.4× 32 0.2× 49 1.4k

Countries citing papers authored by Sun Young Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Sun Young Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Young Hwang. 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 Sun Young Hwang. The network helps show where Sun Young Hwang may publish in the future.

Co-authorship network of co-authors of Sun Young Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Young Hwang. A scholar is included among the top collaborators of Sun Young Hwang 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 Sun Young Hwang. Sun Young Hwang 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.
Hwang, Sun Young, et al.. (2025). High frequency financial time series analysis using partially quantified PCA. Korean Journal of Applied Statistics. 38(3). 389–403.
2.
Hwang, Sun Young, et al.. (2024). A comparative analysis of canine pancreatic lipase tests for diagnosing pancreatitis in dogs. Journal of Veterinary Science. 25(3). e48–e48. 1 indexed citations
3.
Kim, Jong‐Min & Sun Young Hwang. (2023). Finding hidden structure of sparse longitudinal data via functional Eigenfunctions. Applied Economics Letters. 31(12). 1142–1149.
4.
Kim, Jong‐Min, et al.. (2018). The fGARCH(1,1) as a functional volatility measure of ultra high frequency time series. Korean Journal of Applied Statistics. 31(5). 667–675. 1 indexed citations
5.
Hwang, Sun Young, et al.. (2015). A Study on the Factors that Influence Satisfaction with School Life of Children from Multicultural Families. 51–76. 1 indexed citations
6.
Hwang, Sun Young. (2013). A Study on the Emotional and Social Adaption Condition of the Children from Multicultural Families. Early childhood education. 17(1). 171–196. 3 indexed citations
7.
Hwang, Sun Young, Kim Ys, Bo Youn Moon, et al.. (2013). Characterization of Enterocccus faecalis Isolates from the Pork Meat Production Chain and Comparison with Human Clinical Isolates. Journal of Food Safety. 33(2). 190–196. 2 indexed citations
8.
Cho, Woo-Jae, Jaeman Bae, Ji Young Shin, et al.. (2013). Comparison of the clinical performance of restriction fragment mass polymorphism (RFMP) and Roche linear array HPV test assays for HPV detection and genotyping. Journal of Clinical Virology. 57(2). 130–135. 7 indexed citations
9.
Hwang, Sun Young, et al.. (2012). Detection of CC17 Enterococcus faecium in Dogs and a Comparison with Human Isolates. Zoonoses and Public Health. 59(6). 375–378. 12 indexed citations
10.
Hwang, Sun Young, et al.. (2011). Antimicrobial and immunomodulatory effects of Aloe vera peel extract. Journal of Medicinal Plants Research. 5(22). 5384–5392. 10 indexed citations
11.
Jia, Yong, Sun Young Hwang, James D. House, et al.. (2010). Long-Term High Intake of Whole Proteins Results in Renal Damage in Pigs. Journal of Nutrition. 140(9). 1646–1652. 39 indexed citations
12.
Choi, Choi, et al.. (2007). Multivariate GARCH and Its Application to Bivariate Time Series. Journal of the Korean Data and Information Science Society. 18(4). 915–925. 1 indexed citations
13.
Koo, Hye Cheong, et al.. (2007). The Analysis of Milk Components and Pathogenic Bacteria Isolated from Bovine Raw Milk in Korea. Journal of Dairy Science. 90(12). 5405–5414. 45 indexed citations
14.
Hwang, Sun Young, Kim Ys, Eun Joo Jang, et al.. (2007). Novel multiplex PCR for the detection of the Staphylococcus aureus superantigen and its application to raw meat isolates in Korea. International Journal of Food Microbiology. 117(1). 99–105. 110 indexed citations
15.
Jung, Woo Kyung, Kim Ys, Hye Cheong Koo, et al.. (2007). Antifungal activity of the silver ion against contaminated fabric. Mycoses. 50(4). 265–269. 29 indexed citations
16.
Rho, Seungsoo, et al.. (2005). The hair growth promoting effect of extract and its molecular regulation. Journal of Dermatological Science. 38(2). 89–97. 81 indexed citations
17.
Hwang, Sun Young, et al.. (2004). Pre-adjustment of incomplete group variable via K-means clustering. Journal of the Korean Data and Information Science Society. 15(3). 555–563. 1 indexed citations
18.
Hwang, Sun Young & Tae Yoon Kim. (2003). Power transformation and threshold modeling for ARCH innovations with applications to tests for ARCH structure. Stochastic Processes and their Applications. 110(2). 295–314. 26 indexed citations
19.
Sung, Young Kwan, Sun Young Hwang, Mi Kyung Park, et al.. (2003). Fatty acid‐CoA ligase 4 is overexpressed in human hepatocellular carcinoma. Cancer Science. 94(5). 421–424. 54 indexed citations
20.
Hwang, Sun Young & I. V. Basawa. (1993). Asymptotic optimal inference for a class of nonlinear time series models. Stochastic Processes and their Applications. 46(1). 91–113. 39 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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