Hsiu‐Ting Yu

613 total citations
23 papers, 400 citations indexed

About

Hsiu‐Ting Yu is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Hsiu‐Ting Yu has authored 23 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Management Science and Operations Research. Recurrent topics in Hsiu‐Ting Yu's work include Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Decision-Making and Behavioral Economics (4 papers). Hsiu‐Ting Yu is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Decision-Making and Behavioral Economics (4 papers). Hsiu‐Ting Yu collaborates with scholars based in Taiwan, Canada and United States. Hsiu‐Ting Yu's co-authors include David V. Budescu, Jungkyu Park, Tzur M. Karelitz, Adrian K. Rantilla, R. Haggerty, Ali E. Abbas, Carolyn J. Anderson, Tamer Ahmed, Emmanuelle Bélanger and Marı́a Victoria Zunzunegui and has published in prestigious journals such as Psychological Medicine, Personality and Individual Differences and Organizational Behavior and Human Decision Processes.

In The Last Decade

Hsiu‐Ting Yu

23 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsiu‐Ting Yu Taiwan 11 110 96 71 54 46 23 400
Philseok Lee United States 11 134 1.2× 33 0.3× 51 0.7× 71 1.3× 24 0.5× 34 348
Michaël Bishop Canada 7 114 1.0× 77 0.8× 104 1.5× 63 1.2× 54 1.2× 58 539
Marc Jekel Germany 12 55 0.5× 177 1.8× 84 1.2× 69 1.3× 55 1.2× 23 402
Terry Murray United States 4 127 1.2× 103 1.1× 67 0.9× 67 1.2× 58 1.3× 7 341
X. T. Wang United States 11 74 0.7× 267 2.8× 141 2.0× 107 2.0× 27 0.6× 24 556
Tzur M. Karelitz United States 9 74 0.7× 94 1.0× 98 1.4× 31 0.6× 56 1.2× 18 345
Emre Soyer Spain 8 55 0.5× 80 0.8× 65 0.9× 34 0.6× 38 0.8× 16 274
Kimihiko Yamagishi Japan 10 58 0.5× 189 2.0× 125 1.8× 72 1.3× 53 1.2× 21 423
Adrian K. Rantilla United States 7 69 0.6× 82 0.9× 136 1.9× 37 0.7× 24 0.5× 9 303
Dan Schley United States 11 38 0.3× 178 1.9× 70 1.0× 77 1.4× 26 0.6× 19 416

Countries citing papers authored by Hsiu‐Ting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiu‐Ting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiu‐Ting Yu. 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 Hsiu‐Ting Yu. The network helps show where Hsiu‐Ting Yu may publish in the future.

Co-authorship network of co-authors of Hsiu‐Ting Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiu‐Ting Yu. A scholar is included among the top collaborators of Hsiu‐Ting Yu 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 Hsiu‐Ting Yu. Hsiu‐Ting Yu 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.
2.
Yu, Hsiu‐Ting, et al.. (2022). Ethical Bonds Transformation in Bereaved Taiwanese Families: A Preliminary Study. OMEGA - Journal of Death and Dying. 89(4). 1592–1608. 2 indexed citations
3.
Park, Jungkyu, et al.. (2020). Specifying the random effect structure in linear mixed effect models for analyzing psycholinguistic data. Methodology. 16(2). 92–111. 8 indexed citations
4.
Yang, Chien‐Ming, et al.. (2018). Development and psychometric evaluation of the Hypnotic-Use Urge Scale. Sleep and Biological Rhythms. 17(1). 63–72. 1 indexed citations
5.
Park, Jungkyu & Hsiu‐Ting Yu. (2018). A Comparison of Approaches for Estimating Covariate Effects in Nonparametric Multilevel Latent Class Models. Structural Equation Modeling A Multidisciplinary Journal. 25(5). 778–790. 2 indexed citations
6.
Park, Jungkyu & Hsiu‐Ting Yu. (2017). Recommendations on the Sample Sizes for Multilevel Latent Class Models. Educational and Psychological Measurement. 78(5). 737–761. 51 indexed citations
7.
Yu, Hsiu‐Ting. (2015). Applying Linear Mixed Effects Models with Crossed Random Effects to Psycholinguistic Data: Multilevel Specification and Model Selection.. The Quantitative Methods for Psychology. 11(2). 78–88. 12 indexed citations
8.
Park, Jungkyu & Hsiu‐Ting Yu. (2015). The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models. Educational and Psychological Measurement. 76(5). 824–847. 12 indexed citations
9.
Bélanger, Emmanuelle, Tamer Ahmed, Johanne Filiatrault, Hsiu‐Ting Yu, & Marı́a Victoria Zunzunegui. (2015). An Empirical Comparison of Different Models of Active Aging in Canada: The International Mobility in Aging Study. The Gerontologist. 57(2). 197–205. 23 indexed citations
10.
Yu, Hsiu‐Ting. (2014). A Typological and Probabilistic Approach for Exploring Cross-Cultural Differences. Journal of Cross-Cultural Psychology. 46(1). 3–18. 6 indexed citations
11.
Yu, Hsiu‐Ting & Jungkyu Park. (2014). Simultaneous Decision on the Number of Latent Clusters and Classes for Multilevel Latent Class Models. Multivariate Behavioral Research. 49(3). 232–244. 23 indexed citations
12.
Yu, Hsiu‐Ting. (2013). Models with discrete latent variables for analysis of categorical data: A framework and a MATLAB MDLV toolbox. Behavior Research Methods. 45(4). 1036–1047. 2 indexed citations
13.
Yu, Hsiu‐Ting & Mark de Rooij. (2013). Model Selection for the Trend Vector Model. Journal of Classification. 30(3). 338–369. 3 indexed citations
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16.
Anderson, Carolyn J. & Hsiu‐Ting Yu. (2007). Log-Multiplicative Association Models as Item Response Models. Psychometrika. 72(1). 5–23. 19 indexed citations
17.
Yu, Hsiu‐Ting. (2007). Multilevel latent Markov models for nested longitudinal discrete data. 2 indexed citations
18.
Budescu, David V. & Hsiu‐Ting Yu. (2006). To Bayes or Not to Bayes? A Comparison of Two Classes of Models of Information Aggregation. Decision Analysis. 3(3). 145–162. 21 indexed citations
19.
Budescu, David V. & Hsiu‐Ting Yu. (2006). Aggregation of opinions based on correlated cues and advisors. Journal of Behavioral Decision Making. 20(2). 153–177. 70 indexed citations
20.
Budescu, David V., Adrian K. Rantilla, Hsiu‐Ting Yu, & Tzur M. Karelitz. (2003). The effects of asymmetry among advisors on the aggregation of their opinions. Organizational Behavior and Human Decision Processes. 90(1). 178–194. 70 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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