Ying Cui

102 papers and 2.1k indexed citations i.

About

Ying Cui is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Ying Cui has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 14 papers in Computer Science Applications. Recurrent topics in Ying Cui’s work include Online Learning and Analytics (13 papers), Measurement Invariance in Structural Equation Modeling (12 papers) and Advanced Statistical Modeling Techniques (8 papers). Ying Cui is often cited by papers focused on Online Learning and Analytics (13 papers), Measurement Invariance in Structural Equation Modeling (12 papers) and Advanced Statistical Modeling Techniques (8 papers). Ying Cui collaborates with scholars based in Canada, China and United States. Ying Cui's co-authors include Hidetoshi Kita, Ken‐ichi Okamoto, Rauno Parrila, Mark J. Gierl, Fu Chen, Jennifer Dy, Kazuhiro Tanaka, George K. Georgiou, Timothy C. Papadopoulos and Jacqueline P. Leighton and has published in prestigious journals such as PLoS ONE, Chemical Communications and Journal of Power Sources.

In The Last Decade

Co-authorship network of co-authors of Ying Cui i

Fields of papers citing papers by Ying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Cui

Since Specialization
Citations

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

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