Chia-Yi Chiu

872 total citations
15 papers, 565 citations indexed

About

Chia-Yi Chiu is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chia-Yi Chiu has authored 15 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 6 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Chia-Yi Chiu's work include Psychometric Methodologies and Testing (10 papers), Multi-Criteria Decision Making (7 papers) and Advanced Statistical Modeling Techniques (6 papers). Chia-Yi Chiu is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Multi-Criteria Decision Making (7 papers) and Advanced Statistical Modeling Techniques (6 papers). Chia-Yi Chiu collaborates with scholars based in United States, Netherlands and Japan. Chia-Yi Chiu's co-authors include Jimmy de la Torre, Xiaodong Li, Jeffrey A. Douglas, Richard N. Henson and Yi Zheng and has published in prestigious journals such as Psychometrika, Applied Psychological Measurement and Journal of Classification.

In The Last Decade

Chia-Yi Chiu

15 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Yi Chiu United States 10 335 244 129 123 115 15 565
S. Hunka Canada 4 124 0.4× 131 0.5× 44 0.3× 46 0.4× 36 0.3× 13 317
Len Swanson United States 7 243 0.7× 62 0.3× 37 0.3× 128 1.0× 22 0.2× 14 378
Carolyn Jane Anderson United States 8 32 0.1× 131 0.5× 26 0.2× 268 2.2× 29 0.3× 26 478
Jean‐Philippe Pellet Switzerland 6 39 0.1× 149 0.6× 17 0.1× 8 0.1× 8 0.1× 14 299
Tuan Anh Tran Vietnam 11 28 0.1× 63 0.3× 30 0.2× 22 0.2× 64 0.6× 45 395
Maria Rifqi France 6 120 0.4× 207 0.8× 40 0.3× 32 0.3× 26 0.2× 13 346
Daniel L. Murphy United States 9 29 0.1× 79 0.3× 26 0.2× 161 1.3× 9 0.1× 19 326
Susanne Wolff United States 8 24 0.1× 239 1.0× 9 0.1× 26 0.2× 6 0.1× 13 372

Countries citing papers authored by Chia-Yi Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Yi Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Yi Chiu. 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 Chia-Yi Chiu. The network helps show where Chia-Yi Chiu may publish in the future.

Co-authorship network of co-authors of Chia-Yi Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Yi Chiu. A scholar is included among the top collaborators of Chia-Yi Chiu 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 Chia-Yi Chiu. Chia-Yi Chiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Chiu, Chia-Yi, et al.. (2021). A Unified Theory of the Completeness of Q-Matrices for the DINA Model. Journal of Classification. 38(3). 500–518. 3 indexed citations
2.
Chiu, Chia-Yi, et al.. (2019). Consistency Theory for the General Nonparametric Classification Method. Psychometrika. 84(3). 830–845. 7 indexed citations
3.
Chiu, Chia-Yi, et al.. (2018). How to Build a Complete Q-Matrix for a Cognitively Diagnostic Test. Journal of Classification. 35(2). 273–299. 15 indexed citations
4.
Chiu, Chia-Yi, et al.. (2018). Nonparametric CAT for CD in Educational Settings With Small Samples. Applied Psychological Measurement. 43(7). 543–561. 20 indexed citations
5.
Chiu, Chia-Yi, et al.. (2018). Attribute Hierarchy Models in Cognitive Diagnosis: Identifiability of the Latent Attribute Space and Conditions for Completeness of the Q-Matrix. Journal of Classification. 36(3). 541–565. 10 indexed citations
6.
Chiu, Chia-Yi, et al.. (2017). Cognitive Diagnosis for Small Educational Programs: The General Nonparametric Classification Method. Psychometrika. 83(2). 355–375. 38 indexed citations
7.
8.
Chiu, Chia-Yi, et al.. (2016). Joint Maximum Likelihood Estimation for Diagnostic Classification Models. Psychometrika. 81(4). 1069–1092. 6 indexed citations
9.
Chiu, Chia-Yi, et al.. (2016). A Procedure for Assessing the Completeness of the Q-Matrices of Cognitively Diagnostic Tests. Psychometrika. 82(1). 112–132. 25 indexed citations
10.
Chiu, Chia-Yi, et al.. (2016). Fitting the Reduced RUM with Mplus: A Tutorial. International Journal of Testing. 16(4). 331–351. 6 indexed citations
11.
Torre, Jimmy de la & Chia-Yi Chiu. (2015). A General Method of Empirical Q-matrix Validation. Psychometrika. 81(2). 253–273. 156 indexed citations
12.
Chiu, Chia-Yi, et al.. (2015). The Reduced RUM as a Logit Model: Parameterization and Constraints. Psychometrika. 81(2). 350–370. 18 indexed citations
13.
Chiu, Chia-Yi, et al.. (2015). Consistency of Cluster Analysis for Cognitive Diagnosis. Applied Psychological Measurement. 39(6). 465–479. 14 indexed citations
14.
Chiu, Chia-Yi. (2013). Statistical Refinement of the Q-Matrix in Cognitive Diagnosis. Applied Psychological Measurement. 37(8). 598–618. 91 indexed citations
15.
Chiu, Chia-Yi, Jeffrey A. Douglas, & Xiaodong Li. (2009). Cluster Analysis for Cognitive Diagnosis: Theory and Applications. Psychometrika. 74(4). 633–665. 155 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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