Xinran Li

855 total citations
39 papers, 450 citations indexed

About

Xinran Li is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinran Li has authored 39 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinran Li's work include Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (16 papers) and Statistical Methods in Clinical Trials (10 papers). Xinran Li is often cited by papers focused on Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (16 papers) and Statistical Methods in Clinical Trials (10 papers). Xinran Li collaborates with scholars based in United States, China and France. Xinran Li's co-authors include Peng Ding, Donald B. Rubin, Luke Miratrix, Zhengrong Cui, Tinashe B. Ruwona, Sachin G. Thakkar, Robert O. Williams, Jun S. Liu, Yuhao Wang and Lin Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Xinran Li

38 papers receiving 437 citations

Peers

Xinran Li

MSOR

EEE

CSE

Mansour Shrahili Saudi Arabia

Li‐Pang Chen Taiwan

Wangli Xu China

Jelena Bradić United States

Gajendra K. Vishwakarma India

Maozai Tian China

Isaac Dialsingh Trinidad and Tobago

Yeying Zhu Canada

Ao Yuan United States

Raffaele Argiento Italy

Mansour Shrahili Saudi Arabia

Xinran Li

230 ×0.8

42 ×1.1

MSOR

6 ×0.2

EEE

10 ×0.4

CSE

28 ×1.2

Citations per year, relative to Xinran Li Xinran Li (= 1×) peers Mansour Shrahili

Countries citing papers authored by Xinran Li

Since Specialization

Citations

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

Fields of papers citing papers by Xinran Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Li

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

All Works

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20 of 20 papers shown

Li, Yuan, Xinran Li, Shenglan Wang, et al.. (2025). Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target. Frontiers in Microbiology. 15. 1488656–1488656. 2 indexed citations

Bai, Kaixu, Zhe Zheng, Chaoshun Liu, et al.. (2025). SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 19–35. 1 indexed citations

Li, Xinran. (2025). Sensitivity analysis for observational studies with flexible matched designs. Biometrika. 112(4).

Wang, Yuhao & Xinran Li. (2025). Asymptotic theory of the best-choice rerandomization using the Mahalanobis distance. Journal of Econometrics. 251. 106049–106049. 1 indexed citations

Bai, Kaixu, Xinran Li, Chaoshun Liu, et al.. (2024). LGHAP v2: a global gap-free aerosol optical depth and PM _2.5 concentration dataset since 2000 derived via big Earth data analytics. Earth system science data. 16(5). 2425–2448. 13 indexed citations

Liu, Gaohua, et al.. (2024). Ensemble multiclassification model for predicting developmental toxicity in zebrafish. Aquatic Toxicology. 271. 106936–106936. 3 indexed citations

Shi, Lei & Xinran Li. (2024). Some theoretical foundations for the design and analysis of randomized experiments. SHILAP Revista de lepidopterología. 12(1). 2 indexed citations

Sang, Shengtian, Xinran Li, Sulaiman Vesal, et al.. (2024). Swin Transformer-based affine registration of MRI and ultrasound images of the prostate. 6–6. 1 indexed citations

Chen, Zhe, Xinran Li, & Bo Zhang. (2024). The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials. PubMed. 16(1). 2 indexed citations

10.

Li, Xinran, et al.. (2023). Power and sample size calculations for rerandomization. Biometrika. 111(1). 355–363. 4 indexed citations

11.

Chen, Yifei, Xin Zhang, Dandan Li, et al.. (2023). Automatic segmentation of thyroid with the assistance of the devised boundary improvement based on multicomponent small dataset. Applied Intelligence. 53(16). 19708–19723. 6 indexed citations

12.

Li, Xinran, et al.. (2022). Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers. Statistical Science. 37(1). 3 indexed citations

13.

Li, Xinran, et al.. (2021). Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments. Journal of the American Statistical Association. 118(542). 1207–1221. 5 indexed citations

14.

Li, Xinran & Xiao‐Li Meng. (2020). A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff. Journal of the American Statistical Association. 116(533). 353–367. 6 indexed citations

15.

Li, Xinran & Peng Ding. (2019). Rerandomization and Regression Adjustment. Journal of the Royal Statistical Society Series B (Statistical Methodology). 82(1). 241–268. 51 indexed citations

16.

Ding, Peng, Xinran Li, & Luke Miratrix. (2017). Bridging Finite and Super Population Causal Inference. SHILAP Revista de lepidopterología. 5(2). 22 indexed citations

17.

Li, Xinran, et al.. (2016). Bayesian Aggregation of Rank Data with Covariates and Heterogeneous Rankers. arXiv (Cornell University). 2 indexed citations

18.

Li, Xinran, Sachin G. Thakkar, Tinashe B. Ruwona, Robert O. Williams, & Zhengrong Cui. (2015). A method of lyophilizing vaccines containing aluminum salts into a dry powder without causing particle aggregation or decreasing the immunogenicity following reconstitution. Journal of Controlled Release. 204. 38–50. 37 indexed citations

19.

Li, Xinran, et al.. (2010). A Novel Attribute Reduction Algorithm Based Improved Differential Evolution. 15. 87–90. 3 indexed citations

20.

Li, Xinran, et al.. (2007). The Properties and Constructions of Linear Steganographic Codes. Gongcheng shuxue xuebao. 2 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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