Hwan Chung

2.1k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Hwan Chung is a scholar working on Statistics and Probability, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Hwan Chung has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 11 papers in Epidemiology and 9 papers in Sociology and Political Science. Recurrent topics in Hwan Chung's work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (9 papers) and Pregnancy and preeclampsia studies (7 papers). Hwan Chung is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (9 papers) and Pregnancy and preeclampsia studies (7 papers). Hwan Chung collaborates with scholars based in United States, South Korea and Chile. Hwan Chung's co-authors include Claudia Holzman, Patricia K. Senagore, Lorraine Weatherspoon, Won O. Song, Dayeon Shin, Joseph L. Schafer, Naomi Breslau, S. Ananth Karumanchi, Offer Erez and Ricardo Gómez and has published in prestigious journals such as American Journal of Epidemiology, Psychological Medicine and Statistics in Medicine.

In The Last Decade

Hwan Chung

35 papers receiving 1.6k citations

Hit Papers

A longitudinal study of angiogenic (placental growth fact... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwan Chung United States 20 870 673 344 308 291 41 1.6k
Helen West United Kingdom 15 377 0.4× 304 0.5× 233 0.7× 226 0.7× 13 0.0× 40 903
J A Ross United States 19 116 0.1× 456 0.7× 523 1.5× 260 0.8× 58 0.2× 38 1.6k
B.J. Oddens Belgium 23 171 0.2× 410 0.6× 785 2.3× 685 2.2× 130 0.4× 41 2.4k
David I. Shalowitz United States 17 129 0.1× 282 0.4× 1.0k 2.9× 127 0.4× 57 0.2× 57 1.9k
Julia Wu United States 16 355 0.4× 194 0.3× 162 0.5× 285 0.9× 103 0.4× 27 1.9k
Richard C. Henshaw United Kingdom 18 465 0.5× 483 0.7× 818 2.4× 39 0.1× 47 0.2× 33 1.3k
Cheryl Holman Australia 16 36 0.0× 130 0.2× 154 0.4× 162 0.5× 46 0.2× 40 1.2k
Emily Jackson United Kingdom 19 190 0.2× 578 0.9× 619 1.8× 55 0.2× 19 0.1× 92 1.2k
Jeremy A. Labrecque Netherlands 16 31 0.0× 85 0.1× 133 0.4× 128 0.4× 87 0.3× 51 909
Dan Mason United Kingdom 19 95 0.1× 250 0.4× 251 0.7× 105 0.3× 6 0.0× 56 1.0k

Countries citing papers authored by Hwan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hwan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwan Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Hwan Chung. A scholar is included among the top collaborators of Hwan Chung 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 Hwan Chung. Hwan Chung 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
2.
Chung, Hwan, et al.. (2021). Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use. Computational Statistics & Data Analysis. 161. 107261–107261.
4.
Chung, Hwan, et al.. (2020). Joint latent class analysis for longitudinal data: an application on adolescent emotional well-being. Communications for Statistical Applications and Methods. 27(2). 241–254.
5.
Chung, Hwan, et al.. (2015). Altered Brain Reactivity to Game Cues After Gaming Experience. Cyberpsychology Behavior and Social Networking. 18(8). 474–479. 22 indexed citations
6.
Mudd, Lanay M., et al.. (2014). Maternal Physical Activity During Pregnancy, Child Leisure-Time Activity, and Child Weight Status at 3 to 9 Years. Journal of Physical Activity and Health. 12(4). 506–514. 13 indexed citations
7.
Shin, Dayeon, Hwan Chung, Lorraine Weatherspoon, & Won O. Song. (2013). Validity of Prepregnancy Weight Status Estimated from Self-reported Height and Weight. Maternal and Child Health Journal. 18(7). 1667–1674. 139 indexed citations
8.
Shin, Dayeon, Leonard J. Bianchi, Hwan Chung, Lorraine Weatherspoon, & Won O. Song. (2013). Is Gestational Weight Gain Associated with Diet Quality During Pregnancy?. Maternal and Child Health Journal. 18(6). 1433–1443. 52 indexed citations
9.
Harel, Ofer, Hwan Chung, & Diana L. Miglioretti. (2013). Latent class regression: Inference and estimation with two‐stage multiple imputation. Biometrical Journal. 55(4). 541–553. 11 indexed citations
10.
Jones, Nicole M., Claudia Holzman, Yan Tian, et al.. (2011). Innate immune system gene polymorphisms in maternal and child genotype and risk of preterm delivery. The Journal of Maternal-Fetal & Neonatal Medicine. 25(3). 240–247. 16 indexed citations
11.
Jones, Nicole M., Claudia Holzman, Karen H. Friderici, et al.. (2010). Interplay of cytokine polymorphisms and bacterial vaginosis in the etiology of preterm delivery. Journal of Reproductive Immunology. 87(1-2). 82–89. 43 indexed citations
12.
Chen, Yumin, Claudia Holzman, Hwan Chung, et al.. (2009). Levels of maternal serum corticotropin-releasing hormone (CRH) at midpregnancy in relation to maternal characteristics. Psychoneuroendocrinology. 35(6). 820–832. 31 indexed citations
13.
Gargano, Julia W., Claudia Holzman, Patricia K. Senagore, et al.. (2008). Mid-pregnancy circulating cytokine levels, histologic chorioamnionitis and spontaneous preterm birth. Journal of Reproductive Immunology. 79(1). 100–110. 81 indexed citations
14.
Chung, Hwan & Naomi Breslau. (2008). The latent structure of post-traumatic stress disorder: tests of invariance by gender and trauma type. Psychological Medicine. 38(4). 563–573. 74 indexed citations
15.
Romero, Roberto, Jyh Kae Nien, Jimmy Espinoza, et al.. (2008). A longitudinal study of angiogenic (placental growth factor) and anti-angiogenic (soluble endoglin and soluble vascular endothelial growth factor receptor-1) factors in normal pregnancy and patients destined to develop preeclampsia and deliver a small for gestational age neonate. The Journal of Maternal-Fetal & Neonatal Medicine. 21(1). 9–23. 535 indexed citations breakdown →
16.
Nettleman, Mary D., et al.. (2007). Reasons for unprotected intercourse: analysis of the PRAMS survey. Contraception. 75(5). 361–366. 59 indexed citations
17.
Chung, Hwan, Stephanie T. Lanza, & Eric Loken. (2007). Latent transition analysis: Inference and estimation. Statistics in Medicine. 27(11). 1834–1854. 23 indexed citations
18.
Holzman, Claudia, Xiaoqian Lin, Patricia K. Senagore, & Hwan Chung. (2007). Histologic Chorioamnionitis and Preterm Delivery. American Journal of Epidemiology. 166(7). 786–794. 76 indexed citations
19.
Chung, Hwan, et al.. (2005). Latent transition analysis with covariates: pubertal timing and substance use behaviours in adolescent females. Statistics in Medicine. 24(18). 2895–2910. 71 indexed citations
20.
Chung, Hwan, Eric Loken, & Joseph L. Schafer. (2004). Difficulties in Drawing Inferences With Finite-Mixture Models. The American Statistician. 58(2). 152–158. 45 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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