Ruiyan Luo

2.4k total citations
77 papers, 1.4k citations indexed

About

Ruiyan Luo is a scholar working on Statistics and Probability, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Ruiyan Luo has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 15 papers in Modeling and Simulation and 12 papers in Epidemiology. Recurrent topics in Ruiyan Luo's work include COVID-19 epidemiological studies (15 papers), Statistical Methods and Inference (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). Ruiyan Luo is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Statistical Methods and Inference (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). Ruiyan Luo collaborates with scholars based in United States, China and South Korea. Ruiyan Luo's co-authors include Gerardo Chowell, Kimberlyn Roosa, Richard Rothenberg, Xin Qi, James M. Hyman, Alexander Kirpich, Ping Yan, Hongyu Zhao, Douglas W. Roblin and Kristina A. Theis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Ruiyan Luo

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiyan Luo United States 18 518 263 233 198 191 77 1.4k
Parham Habibzadeh Iran 13 351 0.7× 202 0.8× 355 1.5× 100 0.5× 175 0.9× 41 1.5k
Alexander Kirpich United States 11 431 0.8× 209 0.8× 154 0.7× 172 0.9× 104 0.5× 34 891
Sasikiran Kandula United States 22 892 1.7× 156 0.6× 354 1.5× 119 0.6× 657 3.4× 47 2.0k
David Benkeser United States 18 191 0.4× 163 0.6× 370 1.6× 60 0.3× 262 1.4× 66 1.8k
Edouard Mathieu United Kingdom 6 704 1.4× 294 1.1× 799 3.4× 108 0.5× 131 0.7× 10 1.7k
Vida Abedi United States 25 154 0.3× 93 0.4× 205 0.9× 166 0.8× 617 3.2× 111 2.3k
Charlie Giattino United Kingdom 7 697 1.3× 293 1.1× 795 3.4× 102 0.5× 125 0.7× 9 1.7k
Joe Hasell United Kingdom 4 697 1.3× 293 1.1× 795 3.4× 102 0.5× 124 0.6× 5 1.6k
Guangpu Yang China 14 1.0k 1.9× 429 1.6× 752 3.2× 145 0.7× 196 1.0× 31 2.1k

Countries citing papers authored by Ruiyan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyan Luo. A scholar is included among the top collaborators of Ruiyan Luo 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 Ruiyan Luo. Ruiyan Luo 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.
He, Xiaojia, et al.. (2025). Unveiling Oral Health Impacts of Vaping in African Americans through Untargeted Metabolomics and Proteomics. Environment & Health. 3(7). 733–746. 2 indexed citations
2.
Luo, Ruiyan, et al.. (2025). StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. PLoS ONE. 20(8). e0329791–e0329791. 1 indexed citations
3.
Luo, Ruiyan, et al.. (2025). Predicting global pneumonia mortality trends by age group: A modeling study. Public Health. 247. 105820–105820.
4.
5.
Karami, Hossein, et al.. (2025). BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equations. BMC Medical Informatics and Decision Making. 25(1). 385–385. 1 indexed citations
6.
7.
Luo, Ruiyan, et al.. (2024). Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic. Royal Society Open Science. 11(7). 240248–240248. 6 indexed citations
8.
Luo, Ruiyan, et al.. (2024). Campus climate impacts on sexual violence: a Bayesian comparison of undergraduate and community colleges. Journal of American College Health. 73(3). 1103–1114. 1 indexed citations
9.
Chowell, Gerardo, et al.. (2024). SubEpiPredict: A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework. Infectious Disease Modelling. 9(2). 411–436. 5 indexed citations
10.
Tariq, Amna, Tsira Chakhaia, Sushma Dahal, et al.. (2022). An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021. PLoS neglected tropical diseases. 16(3). e0010228–e0010228. 8 indexed citations
11.
Tariq, Amna, Juan M. Banda, Pavel Skums, et al.. (2021). Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020. PLoS ONE. 16(7). e0254826–e0254826. 17 indexed citations
12.
Roosa, Kimberlyn, Ruiyan Luo, Alexander Kirpich, et al.. (2020). Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020. Infectious Disease Modelling. 5. 256–263. 408 indexed citations
13.
Roosa, Kimberlyn, Ruiyan Luo, & Gerardo Chowell. (2019). Comparative assessment of parameter estimation methods in the presence of overdispersion: a simulation study. Mathematical Biosciences & Engineering. 16(5). 4299–4313. 15 indexed citations
14.
Wang, Jiazhou, Lijun Shen, Haoyu Zhong, et al.. (2019). Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients. Scientific Reports. 9(1). 15346–15346. 31 indexed citations
15.
Tice, Raymond R., Ruiyan Luo, Chad A. Grotegut, et al.. (2018). Initial Assessment of Variability of Responses to Toxicants in Donor-Specific Endothelial Colony Forming Cells. Frontiers in Public Health. 6. 369–369. 3 indexed citations
16.
Theis, Kristina A., Douglas W. Roblin, Charles G. Helmick, & Ruiyan Luo. (2017). Prevalence and causes of work disability among working-age U.S. adults, 2011–2013, NHIS. Disability and health journal. 11(1). 108–115. 93 indexed citations
17.
Qi, Xin & Ruiyan Luo. (2017). Function-on-function regression with thousands of predictive curves. Journal of Multivariate Analysis. 163. 51–66. 15 indexed citations
18.
Luo, Ruiyan & Xin Qi. (2016). Signal extraction approach for sparse multivariate response regression. Journal of Multivariate Analysis. 153. 83–97. 4 indexed citations
19.
Linton, Sabriya L., Hannah L. F. Cooper, Ruiyan Luo, et al.. (2016). Changing Places and Partners: Associations of Neighborhood Conditions With Sexual Network Turnover Among African American Adults Relocated From Public Housing. Archives of Sexual Behavior. 46(4). 925–936. 8 indexed citations
20.
Luo, Ruiyan, Christopher M. Colangelo, William C. Sessa, & Hongyu Zhao. (2009). Bayesian Analysis of iTRAQ Data with Nonrandom Missingness: Identification of Differentially Expressed Proteins. Statistics in Biosciences. 1(2). 228–245. 16 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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