Molei Liu

About

Molei Liu is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Molei Liu has authored 16 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Molei Liu’s work include Statistical Methods and Inference (8 papers), Machine Learning in Healthcare (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Molei Liu is often cited by papers focused on Statistical Methods and Inference (8 papers), Machine Learning in Healthcare (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Molei Liu collaborates with scholars based in United States, Singapore and China. Molei Liu's co-authors include Tianxi Cai, Xia Yin, Lü Tian, Eugene Katsevich, Jessica Gronsbell, Lucas Janson, Aaditya Ramdas, Jiehuan Sun, Sara K. Tedeschi and Alon Geva and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Molei Liu i

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Fields of papers citing papers by Molei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Molei Liu

Since Specialization

Citations

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