Hsiu‐Ting Yu

23 papers receiving 378 citations

Peers

Hsiu‐Ting Yu
Comparison fields: 5 of 98
  • General Decision Sciences 96
  • Neuropsychology and Physiological Psychology 14
  • Management Science and Operations Research 110
  • Applied Psychology 27
  • Statistics and Probability 40
Replace X. T. Wang with:
X. T. Wang United States
Emre Soyer Spain
Michaël Bishop Canada
Terry Murray United States
Marc Jekel Germany
Berna Devezer United States
Adrian K. Rantilla United States
Susan C. Streufert United States
Kimihiko Yamagishi Japan
Tzur M. Karelitz United States
Hsiu‐Ting Yu relative to X. T. Wang United States X. T. Wang's profile →
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Citations per year

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-authors

The 25 scholars most cited alongside Hsiu‐Ting Yu, 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 Hsiu‐Ting Yu Line = papers co-authored together Hsiu‐Ting Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 200670
3 201751
4 200849
5 201523
6 201423
7 200621
8 200719
9 201512
10 201512
11 201010
12 20208
13 20146
14 20225
15 20205
16 20133
17 20132
18 20222
19 20182
20 20092

About Hsiu‐Ting Yu

Hsiu‐Ting Yu is a scholar working on Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Experimental and Cognitive Psychology and General Decision Sciences, having authored 23 papers that have together received 400 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Decision-Making and Behavioral Economics (4 papers), Forecasting Techniques and Applications (4 papers), Bayesian Methods and Mixture Models (4 papers), Genetic and phenotypic traits in livestock (2 papers), Advanced Statistical Methods and Models (2 papers), Data Analysis with R (2 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in General Decision Sciences (96 citations), Neuropsychology and Physiological Psychology (14 citations), Management Science and Operations Research (110 citations), Applied Psychology (27 citations) and Statistics and Probability (40 citations). Hsiu‐Ting Yu has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include David V. Budescu, Jungkyu Park, Adrian K. Rantilla, Tzur M. Karelitz, Ali E. Abbas, R. Haggerty, Carolyn J. Anderson, Marı́a Victoria Zunzunegui, Tamer Ahmed and Johanne Filiatrault. Their work appears in journals such as Psychometrika, Educational and Psychological Measurement, Journal of Behavioral Decision Making, Journal of Cross-Cultural Psychology and Behavior Research Methods.

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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