Sai Li

786 total citations
24 papers, 439 citations indexed

About

Sai Li is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Sai Li has authored 24 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Statistics and Probability. Recurrent topics in Sai Li's work include Statistical Methods and Inference (6 papers), Genetic Associations and Epidemiology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Sai Li is often cited by papers focused on Statistical Methods and Inference (6 papers), Genetic Associations and Epidemiology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Sai Li collaborates with scholars based in China, United States and Netherlands. Sai Li's co-authors include Hongzhe Li, Tommaso Cai, Hu Tian, Sha He, Mingsheng Lei, Meiling Wen, Jincheng Li, Jianhong Zuo, Rui Duan and Tianxi Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biomacromolecules.

In The Last Decade

Sai Li

21 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sai Li China 11 141 93 82 58 56 24 439
Jianping Yang China 11 238 1.7× 80 0.9× 14 0.2× 35 0.6× 26 0.5× 34 392
Rundong Zhang China 16 326 2.3× 63 0.7× 30 0.4× 3 0.1× 57 1.0× 43 715
Jiahan Zhang United States 16 145 1.0× 84 0.9× 71 0.9× 5 0.1× 106 1.9× 63 747
Eric A. Sherer United States 9 96 0.7× 15 0.2× 8 0.1× 29 0.5× 38 0.7× 35 356
Huizi Wu China 15 285 2.0× 107 1.2× 27 0.3× 2 0.0× 68 1.2× 44 707
Shawn Garbett United States 12 167 1.2× 81 0.9× 7 0.1× 35 0.6× 102 1.8× 26 540
Zhimin Fan China 15 237 1.7× 227 2.4× 46 0.6× 5 0.1× 83 1.5× 58 685
Kaiming Chen China 13 224 1.6× 25 0.3× 6 0.1× 19 0.3× 107 1.9× 41 606
Ian P. Barrett United Kingdom 13 392 2.8× 14 0.2× 59 0.7× 6 0.1× 101 1.8× 23 571

Countries citing papers authored by Sai Li

Since Specialization
Citations

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

Fields of papers citing papers by Sai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Li. A scholar is included among the top collaborators of Sai Li 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 Sai Li. Sai Li 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.
Li, Sai, et al.. (2025). Transfer Q-learning for finite-horizon Markov decision processes. Electronic Journal of Statistics. 19(2).
2.
Chen, Shuxiao, Sai Li, Bo Zhang, & Ting Ye. (2025). Minimax rates and adaptivity in combining experimental and observational data. SHILAP Revista de lepidopterología. 13(1).
3.
Li, Sai & Ting Ye. (2024). A focusing framework for testing bi-directional causal effects in Mendelian randomization. Journal of the Royal Statistical Society Series B (Statistical Methodology). 87(2). 529–548. 1 indexed citations
4.
Li, Sai, et al.. (2023). Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models”. Journal of the American Statistical Association. 118(543). 1586–1589. 3 indexed citations
5.
Li, Jiaying, Yuji Pu, Sai Li, Bin He, & Jianlin Chen. (2023). Orally Administrated Olsalazine-Loaded Multilayer Pectin/Chitosan/Alginate Composite Microspheres for Ulcerative Colitis Treatment. Biomacromolecules. 24(5). 2250–2263. 22 indexed citations
6.
Li, Sai, et al.. (2023). Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer. Journal of the American Statistical Association. 119(546). 1274–1285. 12 indexed citations
7.
Li, Sai, Tianxi Cai, & Rui Duan. (2023). Targeting underrepresented populations in precision medicine: A federated transfer learning approach. The Annals of Applied Statistics. 17(4). 2970–2992. 20 indexed citations
8.
Wang, Jianqiao, Sai Li, & Hongzhe Li. (2023). A Regression-Based Approach to Robust Estimation and Inference for Genetic Covariance. Journal of the American Statistical Association. 119(548). 2585–2597. 1 indexed citations
9.
Li, Sai & Yongzhong Sun. (2022). Global Solutions to 2D Compressible Isothermal Navier–Stokes Equations on Thin Domains. Journal of Mathematical Fluid Mechanics. 25(1).
10.
Chen, Dong, et al.. (2022). ISTRF: Identification of sucrose transporter using random forest. Frontiers in Genetics. 13. 1012828–1012828. 2 indexed citations
11.
Li, Sai, et al.. (2022). A method for identifying moonlighting proteins based on linear discriminant analysis and bagging-SVM. Frontiers in Genetics. 13. 963349–963349. 6 indexed citations
12.
Li, Sai & Yang Li. (2021). Incompressible limit on thin domains with periodic boundary condition. Nonlinearity. 34(9). 6273–6300. 1 indexed citations
13.
Zhang, Hongliang, Zhijie Xu, Daixiong Chen, et al.. (2021). Adsorption mechanism of water molecules on hematite (1 0 4) surface and the hydration microstructure. Applied Surface Science. 550. 149328–149328. 39 indexed citations
14.
Li, Sai, Tommaso Cai, & Hongzhe Li. (2021). Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach. Journal of the American Statistical Association. 117(540). 1835–1846. 11 indexed citations
15.
Tian, Hu, Jincheng Li, Sai Li, et al.. (2017). The potential value of microRNA-4463 in the prognosis evaluation in hepatocellular carcinoma. Genes & Diseases. 4(2). 116–122. 7 indexed citations
16.
Zhang, Congjun, et al.. (2017). Topological structures and the coincidence point of two mappings in cone b-metric spaces. The Journal of Nonlinear Sciences and Applications. 10(4). 1334–1344. 1 indexed citations
17.
Li, Sai, Jincheng Li, Hu Tian, et al.. (2016). Bcl-2 overexpression contributes to laryngeal carcinoma cell survival by forming a complex with Hsp90β. Oncology Reports. 37(2). 849–856. 12 indexed citations
18.
Li, Jincheng, Hu Tian, Sai Li, et al.. (2016). The role of hypoxia-inducible factors in tumor angiogenesis and cell metabolism. Genes & Diseases. 4(1). 19–24. 150 indexed citations
19.
Wang, Yuan, Xiaochuan Luo, & Sai Li. (2015). Optimal Control Method of Parabolic Partial Differential Equations and Its Application to Heat Transfer Model in Continuous Cast Secondary Cooling Zone. Advances in Mathematical Physics. 2015. 1–10. 10 indexed citations
20.
Li, Sai, Zhigui Su, Minjie Sun, et al.. (2012). An arginine derivative contained nanostructure lipid carriers with pH-sensitive membranolytic capability for lysosomolytic anti-cancer drug delivery. International Journal of Pharmaceutics. 436(1-2). 248–257. 33 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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