Ivy Liu

46 papers and 741 indexed citations
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About

Ivy Liu is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Ivy Liu has authored 46 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Economics and Econometrics. Recurrent topics in Ivy Liu’s work include Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (9 papers) and Bayesian Methods and Mixture Models (7 papers). Ivy Liu is often cited by papers focused on Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (9 papers) and Bayesian Methods and Mixture Models (7 papers). Ivy Liu collaborates with scholars based in New Zealand, United States and Taiwan. Ivy Liu's co-authors include Alan Agresti, Daniel Fernández, Bhramar Mukherjee, Thomas Suesse, Bing Xue, Chih‐Chiang Cheng, Bach Hoai Nguyen, Mengjie Zhang, Peter Andreae and C. C. Yang and has published in prestigious journals such as Journal of Applied Physics, Biometrics and Environmental Pollution.

In The Last Decade

Co-authorship network of co-authors of Ivy Liu

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

Fields of papers citing papers by Ivy Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ivy Liu

Since Specialization
Citations

This map shows the geographic impact of Ivy Liu'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 Ivy Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivy Liu 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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2026