Duanli Yan

28 papers receiving 391 citations

Peers

Duanli Yan
Comparison fields: 5 of 72
  • Artificial Intelligence 216
  • Management Science and Operations Research 119
  • Developmental and Educational Psychology 99
  • Computer Science Applications 81
  • Education 80
Replace André A. Rupp with:
André A. Rupp United States
Peida Zhan China
Louis V. DiBello United States
Luca Stefanutti Italy
Esther Ulitzsch Germany
S. Hunka Canada
Laine Bradshaw United States
Maria Bolsinova Netherlands
Alan Huebner United States
Kyung T. Han United States
Duanli Yan relative to André A. Rupp United States André A. Rupp's profile →
Citations per field
00.5×1.6×
André A. Rupp · 1×
Citations per year

Countries citing papers authored by Duanli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Duanli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duanli Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Duanli Yan. A scholar is included among the top collaborators of Duanli Yan 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 Duanli Yan. Duanli Yan 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
#WorkIndexed citations
1 2
2 2
3 10
4
Bayesian inference for Gaussian models : Inverse problems and evolution equations
1
5
Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR
6
6
mstR: An R package to generate multistage testing designs
0
7 47
8
Computerized adaptive testing and multistage testing with R
1
9 95
10 22
11 9
12
Bayesian Network Models for Local Dependence among Observable Outcome Variables. Research Report. ETS RR-06-36.
3
13
Assessing Fit of Models with Discrete Proficiency Variable in Educational Assessment. Research Report. RR-04-07.
1
14
A Comparison of Two Models for Cognitive Diagnosis. Research Report. ETS RR-04-02.
5
15 20
16
Modeling Conditional Probabilities in Complex Educational Assessments. CSE Technical Report.
3
17
Models for Conditional Probability Tables in Educational Assessment.
29
18 7
19
Bayes nets in educational assessment: Where the numbers come from
75
20
Adaptive Testing without IRT.
1

About Duanli Yan

Duanli Yan is a scholar working on Architecture, Statistics and Probability and Management Science and Operations Research, having authored 29 papers that have together received 441 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Psychometric Methodologies and Testing (5 papers) and Advanced Statistical Modeling Techniques (3 papers). The work is most often cited by research in Computer Science Applications (81 citations), Management Science and Operations Research (119 citations) and Developmental and Educational Psychology (99 citations). Duanli Yan has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, David M. Williamson, Alina A. von Davier, David Magis, Peter W. Foltz, André A. Rupp, Charles Lewis and Joris Mulder. Their work appears in journals such as The American Statistician, Journal of Educational and Behavioral Statistics and International Journal of Science and Mathematics Education.

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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