Molei Liu

96 total papers · 1.2k total citations
18 papers, 88 citations indexed

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 18 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 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 (5 papers) and Advanced Causal Inference Techniques (4 papers). Molei Liu is often cited by papers focused on Statistical Methods and Inference (8 papers), Machine Learning in Healthcare (5 papers) and Advanced Causal Inference Techniques (4 papers). Molei Liu collaborates with scholars based in United States, China and Singapore. Molei Liu's co-authors include Tianxi Cai, Xia Yin, Lü Tian, Eugene Katsevich, Lucas Janson, Aaditya Ramdas, Jessica Gronsbell, Yucong Lin, Alon Geva and Jiehuan Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Science Advances.

In The Last Decade

Molei Liu

16 papers receiving 88 citations

Author Peers

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

Author Last Decade Papers Cites
Molei Liu 43 41 17 10 9 18 88
Antoine Chambaz 75 1.7× 87 2.1× 13 0.8× 9 0.9× 22 2.4× 25 216
Danna Zhang 19 0.4× 74 1.8× 14 0.8× 10 1.1× 20 214
Jian-Jian Ren 46 1.1× 204 5.0× 28 1.6× 7 0.8× 26 261
Ujjwal Das 11 0.3× 25 0.6× 8 0.5× 2 0.2× 2 0.2× 15 59
Hao Zheng 85 2.0× 7 0.2× 18 1.1× 1 0.1× 5 0.6× 16 127
David Froelicher 160 3.7× 8 0.2× 20 1.2× 2 0.2× 3 0.3× 11 214
Suraj Rajendran 102 2.4× 3 0.1× 23 1.4× 14 1.4× 11 1.2× 18 224
Shan Yu 11 0.3× 21 0.5× 9 0.5× 1 0.1× 8 0.9× 14 72
Konstantina Palla 39 0.9× 8 0.2× 7 0.4× 2 0.2× 1 0.1× 12 79
Jan F. Bjørnstad 35 0.8× 136 3.3× 11 0.6× 3 0.3× 15 216

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).

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.

Co-authorship network of co-authors of Molei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Molei Liu. A scholar is included among the top collaborators of Molei 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 Molei Liu. Molei Liu 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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