Duanli Yan

81 total papers · 861 total citations
29 papers, 437 citations indexed

About

Duanli Yan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Education. According to data from OpenAlex, Duanli Yan has authored 29 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Education. Recurrent topics in Duanli Yan's work include Bayesian Modeling and Causal Inference (7 papers), Psychometric Methodologies and Testing (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Duanli Yan is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Psychometric Methodologies and Testing (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Duanli Yan collaborates with scholars based in United States, Belgium and Netherlands. Duanli Yan's co-authors include Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, David M. Williamson, David Magis, Alina A. von Davier, André A. Rupp, Peter W. Foltz, Charles Lewis and Joris Mulder and has published in prestigious journals such as The American Statistician, Journal of Educational and Behavioral Statistics and International Journal of Science and Mathematics Education.

In The Last Decade

Duanli Yan

28 papers receiving 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Duanli Yan	215	119	99	80	79	29	437
Peida Zhan	192 0.9×	182 1.5×	81 0.8×	57 0.7×	82 1.0×	46	469
Jürgen Heller	242 1.1×	57 0.5×	77 0.8×	50 0.6×	52 0.7×	40	392
Louis V. DiBello	99 0.5×	81 0.7×	103 1.0×	55 0.7×	173 2.2×	16	377
Seang‐Hwane Joo	66 0.3×	199 1.7×	88 0.9×	75 0.9×	52 0.7×	46	486
Esther Ulitzsch	66 0.3×	199 1.7×	68 0.7×	57 0.7×	78 1.0×	39	481
Peter W. van Rijn	59 0.3×	127 1.1×	144 1.5×	30 0.4×	212 2.7×	42	450
Maria Bolsinova	85 0.4×	232 1.9×	99 1.0×	55 0.7×	59 0.7×	41	485
Kyung T. Han	59 0.3×	208 1.7×	33 0.3×	28 0.3×	45 0.6×	32	367
Mark K. Singley	178 0.8×	24 0.2×	142 1.4×	106 1.3×	70 0.9×	22	449
Cynthia G. Parshall	35 0.2×	219 1.8×	68 0.7×	27 0.3×	123 1.6×	26	433

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

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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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