Xinran Li

29 papers and 330 indexed citations i.

About

Xinran Li is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Xinran Li has authored 29 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Xinran Li’s work include Advanced Causal Inference Techniques (15 papers), Statistical Methods and Inference (14 papers) and Statistical Methods in Clinical Trials (10 papers). Xinran Li is often cited by papers focused on Advanced Causal Inference Techniques (15 papers), Statistical Methods and Inference (14 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, Robert O. Williams, Sachin G. Thakkar, Tinashe B. Ruwona, Zhengrong Cui, Luke Miratrix, Jun S. Liu, Qian Lin and Xiao‐Li Meng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Journal of Controlled Release.

In The Last Decade

Co-authorship network of co-authors of Xinran Li i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025