Rui Duan

1.8k total citations · 1 hit paper
74 papers, 902 citations indexed

About

Rui Duan is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Rui Duan has authored 74 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 13 papers in Epidemiology. Recurrent topics in Rui Duan's work include Statistical Methods and Inference (13 papers), Advanced Causal Inference Techniques (10 papers) and Machine Learning in Healthcare (9 papers). Rui Duan is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Causal Inference Techniques (10 papers) and Machine Learning in Healthcare (9 papers). Rui Duan collaborates with scholars based in United States, China and United Kingdom. Rui Duan's co-authors include Yong Chen, Jordan Sanders, Eileen T. Lake, Jason H. Moore, Yang Ning, Mary Regina Boland, Hua Xu, Jiayi Tong, Chongliang Luo and Jing Huang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Rui Duan

63 papers receiving 876 citations

Hit Papers

A Meta-Analysis of the Associations Between the Nurse Wor... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Meta-Analysis of the Associations Between the Nurse Work Environment in Hospitals and 4 Sets of Outcomes
    2019 256 citations Rui Duan, Yong Chen et al. profile →

Peers

Rui Duan
Peter Kimani United Kingdom
Ruth Davies United Kingdom
Emilie Shireman United States
Scott R. Walter Australia
Hyokyoung G. Hong United States
Joseph Osuji Canada
Judith W. Dexheimer United States
Ting Hsiang Lin Taiwan
Milensu Shanyinde United Kingdom
Chukiat Viwatwongkasem Thailand
Peter Kimani United Kingdom
Rui Duan
Citations per year, relative to Rui Duan Rui Duan (= 1×) peers Peter Kimani

Countries citing papers authored by Rui Duan

Since Specialization
Citations

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

Fields of papers citing papers by Rui Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Duan

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

All Works

20 of 20 papers shown
1.
Jee, Yon Ho, Ying Wang, Keum Ji Jung, et al.. (2025). Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures. Nature Communications. 16(1). 4935–4935. 2 indexed citations
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Liu, Qing, Clara-Lea Bonzel, Tianrun Cai, et al.. (2024). PP01.105 Early Detection of Non-Small Cell Lung Cancer using Electronic Health Record Data. Journal of Thoracic Oncology. 19(7). e46–e47.
4.
Zhu, Yi, Zhen Chen, Hongmei Li, et al.. (2023). Effect of oxygen vacancy and highly dispersed MnOx on soot combustion in cerium manganese catalyst. Scientific Reports. 13(1). 3386–3386. 13 indexed citations
5.
Schmidt, Renae D., Viviana E. Horigian, Dikla Shmueli‐Blumberg, et al.. (2023). High suicidality predicts overdose events among people with substance use disorder: A latent class analysis. Frontiers in Public Health. 11. 1150062–1150062.
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Duan, Rui, Jiayi Tong, Alex J. Sutton, et al.. (2023). Origami plot: a novel multivariate data visualization tool that improves radar chart. Journal of Clinical Epidemiology. 156. 85–94. 13 indexed citations
8.
Li, Ruowang, Rui Duan, Lifang He, & Jason H. Moore. (2023). Risk prediction: Methods, Challenges, and Opportunities. PubMed. 29. 650–653. 2 indexed citations
9.
Tong, Jiayi, Rui Duan, Ruowang Li, et al.. (2023). Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Scientific Reports. 13(1). 19078–19078.
10.
Yan, Zhiyu, Kori S. Zachrison, Lee H. Schwamm, Juan Estrada, & Rui Duan. (2023). A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data. PLoS ONE. 18(1). e0280192–e0280192. 10 indexed citations
11.
Duan, Rui, et al.. (2023). Testing the missing at random assumption in generalized linear models in the presence of instrumental variables. Scandinavian Journal of Statistics. 51(1). 334–354. 1 indexed citations
12.
Tong, Jiayi, Chongliang Luo, Md. Nazmul Islam, et al.. (2022). Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. npj Digital Medicine. 5(1). 76–76. 16 indexed citations
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14.
Liu, Bing, et al.. (2022). A Dataset for Forestry Pest Identification. Frontiers in Plant Science. 13. 857104–857104. 15 indexed citations
15.
Duan, Rui, et al.. (2021). Predictive P-score for treatment ranking in Bayesian network meta-analysis. BMC Medical Research Methodology. 21(1). 213–213. 23 indexed citations
16.
Luo, Chongliang, Rui Duan, Mitchell Maltenfort, et al.. (2021). An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes. Scientific Reports. 11(1). 19647–19647. 13 indexed citations
17.
Duan, Rui, Chongliang Luo, Martijn J. Schuemie, et al.. (2020). Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 27(7). 1028–1036. 43 indexed citations
18.
Falcone, Mary, Chongliang Luo, Yong Chen, et al.. (2020). Risk of Persistent Opioid Use following Major Surgery in Matched Samples of Patients with and without Cancer. Cancer Epidemiology Biomarkers & Prevention. 29(11). 2126–2133. 7 indexed citations
19.
Wang, Lin, Benjamin Rouse, Rui Duan, et al.. (2019). Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations. Journal of Clinical Epidemiology. 114. 84–94. 5 indexed citations
20.
Feaster, Daniel J., Carrigan Parish, Lauren Gooden, et al.. (2016). Substance use and STI acquisition: Secondary analysis from the AWARE study. Drug and Alcohol Dependence. 169. 171–179. 18 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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