Heungsun Hwang

3.7k total citations · 2 hit papers
98 papers, 2.4k citations indexed

About

Heungsun Hwang is a scholar working on Statistics and Probability, Food Science and Management Science and Operations Research. According to data from OpenAlex, Heungsun Hwang has authored 98 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 24 papers in Food Science and 17 papers in Management Science and Operations Research. Recurrent topics in Heungsun Hwang's work include Sensory Analysis and Statistical Methods (24 papers), Advanced Statistical Methods and Models (16 papers) and Spectroscopy and Chemometric Analyses (13 papers). Heungsun Hwang is often cited by papers focused on Sensory Analysis and Statistical Methods (24 papers), Advanced Statistical Methods and Models (16 papers) and Spectroscopy and Chemometric Analyses (13 papers). Heungsun Hwang collaborates with scholars based in Canada, United States and South Korea. Heungsun Hwang's co-authors include Yoshio Takane, Marko Sarstedt, Gyeongcheol Cho, Christian M. Ringle, Kwanghee Jung, Naresh K. Malhotra, Marc A. Tomiuk, Young-Chan Kim, Sungjin Hong and Jun‐Hwa Cheah and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Heungsun Hwang

91 papers receiving 2.2k citations

Hit Papers

Cutoff criteria for overall model fit indexes in generali... 2020 2026 2022 2024 2020 2024 50 100 150

Peers

Heungsun Hwang
Raymond Hubbard United States
Ulf Böckenholt United States
Mark Davies United Kingdom
Dominique Haughton United States
Kamel Jedidi United States
Harry Joo United States
Raymond Hubbard United States
Heungsun Hwang
Citations per year, relative to Heungsun Hwang Heungsun Hwang (= 1×) peers Raymond Hubbard

Countries citing papers authored by Heungsun Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Heungsun Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heungsun Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Heungsun Hwang. A scholar is included among the top collaborators of Heungsun 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 Heungsun Hwang. Heungsun 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
2.
Cho, Gyeongcheol, et al.. (2024). Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children. eLife. 12. 2 indexed citations
3.
Sarstedt, Marko, Christian M. Ringle, Gyeongcheol Cho, et al.. (2024). Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling. Journal of Product Innovation Management. 41(6). 1100–1117. 41 indexed citations breakdown →
4.
Hwang, Heungsun, Gyeongcheol Cho, & Hosung Choo. (2023). GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling. Structural Equation Modeling A Multidisciplinary Journal. 31(4). 696–711. 11 indexed citations
6.
Cho, Gyeongcheol & Heungsun Hwang. (2023). Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes. Structural Equation Modeling A Multidisciplinary Journal. 31(2). 265–279. 2 indexed citations
7.
Lee, Sungyoung, et al.. (2022). Kernel-based hierarchical structural component models for pathway analysis. Bioinformatics. 38(11). 3078–3086. 2 indexed citations
8.
Hwang, Heungsun, et al.. (2022). Evaluation of Prediction-Oriented Model Selection Metrics for Extended Redundancy Analysis. Frontiers in Psychology. 13. 821897–821897. 1 indexed citations
9.
Fakfare, Pipatpong, Gyeongcheol Cho, Heungsun Hwang, & Noppadol Manosuthi. (2021). Examining the sensory impressions, value perception, and behavioral responses of tourists: the case of floating markets in Thailand. Journal of Travel & Tourism Marketing. 38(7). 666–681. 32 indexed citations
10.
Choi, Sungkyoung, Sungyoung Lee, Iksoo Huh, Heungsun Hwang, & Taesung Park. (2020). HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene–Environment Interactions. International Journal of Molecular Sciences. 21(18). 6724–6724. 4 indexed citations
11.
Hwang, Heungsun, Gyeongcheol Cho, Kwanghee Jung, et al.. (2020). An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.. Psychological Methods. 26(3). 273–294. 56 indexed citations
12.
Lee, Sungyoung, et al.. (2019). Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis. BMC Medical Genomics. 12(S5). 100–100. 6 indexed citations
13.
Lee, Jonathan, Heungsun Hwang, & An V. Tran. (2017). Repositioning Via Abstraction. ACR North American Advances.
14.
Hwang, Heungsun, Yoshio Takane, & Kwanghee Jung. (2017). Generalized Structured Component Analysis with Uniqueness Terms for Accommodating Measurement Error. Frontiers in Psychology. 8. 2137–2137. 63 indexed citations
15.
Ryoo, Ji Hoon & Heungsun Hwang. (2017). Model Evaluation in Generalized Structured Component Analysis Using Confirmatory Tetrad Analysis. Frontiers in Psychology. 8. 916–916. 7 indexed citations
16.
Hwang, Heungsun, et al.. (2016). A Unified Approach to Functional Principal Component Analysis and Functional Multiple-Set Canonical Correlation. Psychometrika. 82(2). 427–441. 2 indexed citations
17.
Lee, Sungyoung, Sungkyoung Choi, Young Jin Kim, et al.. (2016). Pathway-based approach using hierarchical components of collapsed rare variants. Bioinformatics. 32(17). i586–i594. 33 indexed citations
18.
Suk, Hye Won & Heungsun Hwang. (2016). Functional Generalized Structured Component Analysis. Psychometrika. 81(4). 940–968. 14 indexed citations
19.
Rogers, Maria, Heungsun Hwang, Maggie E. Toplak, Margaret D. Weiss, & Rosemary Tannock. (2011). Inattention, working memory, and academic achievement in adolescents referred for attention deficit/hyperactivity disorder (ADHD). Child Neuropsychology. 17(5). 444–458. 127 indexed citations
20.
Hwang, Heungsun, Yoshio Takane, & Wayne S. DeSarbo. (2007). Fuzzy Clusterwise Growth Curve Models via Generalized Estimating Equations: An Application to the Antisocial Behavior of Children. Multivariate Behavioral Research. 42(2). 233–259. 2 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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