Duanli Yan

19 papers and 251 indexed citations i.

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 19 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Education. Recurrent topics in Duanli Yan’s work include Bayesian Modeling and Causal Inference (6 papers), Measurement Invariance in Structural Equation Modeling (5 papers) and Advanced Statistical Modeling Techniques (3 papers). Duanli Yan is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Measurement Invariance in Structural Equation Modeling (5 papers) and Advanced Statistical Modeling Techniques (3 papers). Duanli Yan collaborates with scholars based in United States and The Netherlands. Duanli Yan's co-authors include Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, André A. Rupp, Peter W. Foltz, Alina A. von Davier, Charles Lewis, Charles Lewis, Joris Mulder and Martha L. Stocking 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

Co-authorship network of co-authors of Duanli Yan i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025