Sun Young Hwang

2.6k citations
125 papers · 2.0k · h-index 27

Impact in

Papers in

    • Financial Risk and Volatility Modeling 50
    • Statistical Methods and Inference 23
    • Statistical Distribution Estimation and Applications 8

Sun Young Hwang

112 papers receiving 1.9k citations

Peers

Sun Young Hwang
Comparison fields: 5 of 154
  • Finance 353
  • Statistics and Probability 244
  • Infectious Diseases 317
  • Microbiology 95
  • Clinical Biochemistry 101
Replace Xin Deng with:
Xin Deng China
Xuejun Wang China
Li Su China
Xibin Zhang China
Kenneth Ng Canada
Debasis Bhattacharya India
Gang Zou China
Xiaodong Zheng China
Partha Basu France
Sun Young Hwang relative to Xin Deng China Xin Deng's profile →
Citations per field
00.5×6.8×
Xin Deng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sun Young Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun Young Hwang Line = papers co-authored together Sun Young Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003125
2 2007110
3 200581
4 201280
5 200471
6 200468
7 200354
8 201354
9 201149
10 199849
11 201548
12 200748
13 200746
14 201244
15 201144
16 199340
17 201039
18 200438
19 200335
20 200334

About Sun Young Hwang

Sun Young Hwang is a scholar working on Finance, Statistics and Probability, Economics and Econometrics, Molecular Biology and General Economics, Econometrics and Finance, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (50 papers), Statistical Methods and Inference (23 papers), Market Dynamics and Volatility (21 papers), Monetary Policy and Economic Impact (13 papers), Complex Systems and Time Series Analysis (12 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Statistical Distribution Estimation and Applications (8 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Finance (353 citations), Statistics and Probability (244 citations), Infectious Diseases (317 citations), Microbiology (95 citations) and Clinical Biochemistry (101 citations). Sun Young Hwang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent 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 Jong‐Min Kim. Their work appears in journals such as Journal of Veterinary Science, Journal of Statistical Planning and Inference, Molecules and Cells, Stochastic Processes and their Applications and Cancer Science.

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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