Molei Liu

1.2k total citations
18 papers, 94 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 94 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, Jessica Gronsbell, Eugene Katsevich, Aaditya Ramdas, Lü Tian, Lucas Janson, Chuan Hong, Alon Geva and Jose D. Herazo‐Maya 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 94 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Molei Liu United States 7 44 44 17 10 9 18 94
Alex Ryutov United States 5 29 0.7× 13 0.3× 24 1.4× 4 0.4× 4 0.4× 6 83
Kendrick Boyd United States 4 45 1.0× 4 0.1× 16 0.9× 5 0.5× 9 1.0× 4 84
John A. Orechia United States 2 36 0.8× 4 0.1× 34 2.0× 39 3.9× 7 0.8× 2 96
Ujjwal Das India 6 12 0.3× 26 0.6× 8 0.5× 2 0.2× 2 0.2× 15 61
Elizabeth Zampino United States 4 18 0.4× 2 0.0× 10 0.6× 13 1.3× 10 1.1× 5 54
Stephen A. Sedory United States 10 64 1.5× 269 6.1× 2 0.1× 2 0.2× 11 1.2× 46 289
Peter Rijnbeek Netherlands 4 26 0.6× 5 0.1× 189 11.1× 10 1.0× 9 1.0× 6 253
Ravi Mathur United States 4 14 0.3× 3 0.1× 58 3.4× 4 0.4× 5 0.6× 9 101
Nassim Oufattole United States 1 139 3.2× 2 0.0× 35 2.1× 12 1.2× 3 0.3× 2 205

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

18 of 18 papers shown
1.
Cohen, Alan A., Martin Picard, John Beard, et al.. (2025). Intrinsic health as a foundation for a science of health. Science Advances. 11(25). eadu8437–eadu8437. 1 indexed citations
2.
Li, Siqi, et al.. (2025). FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. Journal of Biomedical Informatics. 165. 104780–104780. 1 indexed citations
3.
Yao, Qing, et al.. (2025). Adaptive mobility responses during Hurricanes Helene and Milton in 2024. Environmental Research Letters. 20(11). 114012–114012.
4.
5.
Li, Siqi, Di Miao, Chuan Hong, et al.. (2024). Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis. SHILAP Revista de lepidopterología. 4. 196–196. 2 indexed citations
6.
Liu, Molei, et al.. (2024). Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features. Journal of the American Statistical Association. 120(549). 524–534. 1 indexed citations
7.
Cai, Tianxi, et al.. (2024). Semi-Supervised Triply Robust Inductive Transfer Learning. Journal of the American Statistical Association. 120(550). 1037–1047. 1 indexed citations
8.
Hong, Chuan, et al.. (2023). Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. Journal of Biomedical Informatics. 149. 104532–104532. 3 indexed citations
9.
Lin, Yucong, Molei Liu, Sara K. Tedeschi, et al.. (2022). Weakly Semi-supervised phenotyping using Electronic Health records. Journal of Biomedical Informatics. 134. 104175–104175. 7 indexed citations
10.
Gronsbell, Jessica, Molei Liu, Lü Tian, & Tianxi Cai. (2022). Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(4). 1353–1391. 16 indexed citations
11.
Liu, Molei, et al.. (2022). Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data. Journal of the American Statistical Association. 118(543). 1488–1499. 7 indexed citations
12.
Hutch, Meghan R., Molei Liu, Paul Avillach, Yuan Luo, & Florence T. Bourgeois. (2021). National Trends in Disease Activity for COVID-19 Among Children in the US. Frontiers in Pediatrics. 9. 700656–700656. 1 indexed citations
13.
Liu, Molei, Eugene Katsevich, Lucas Janson, & Aaditya Ramdas. (2021). Fast and powerful conditional randomization testing via distillation. Biometrika. 109(2). 277–293. 17 indexed citations
14.
Cai, Tianxi, Molei Liu, & Xia Yin. (2021). Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data. Journal of the American Statistical Association. 117(540). 2105–2119. 18 indexed citations
15.
Liu, Molei, et al.. (2021). Double/debiased machine learning for logistic partially linear model. Econometrics Journal. 24(3). 559–588. 8 indexed citations
16.
Geva, Alon, Molei Liu, Vidul Ayakulangara Panickan, et al.. (2020). A high-throughput phenotyping algorithm is portable from adult to pediatric populations. Journal of the American Medical Informatics Association. 28(6). 1265–1269. 4 indexed citations
17.
Cai, Tianxi, Molei Liu, & Xia Yin. (2019). Privacy Preserving Integrative Regression Analysis of High-dimensional Heterogeneous Data. arXiv (Cornell University). 1 indexed citations
18.
Liu, Molei, Jiehuan Sun, Jose D. Herazo‐Maya, Naftali Kaminski, & Hongyu Zhao. (2019). Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension. Statistics in Biosciences. 11(3). 614–629. 6 indexed citations

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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