Jin Tian

72 papers and 722 indexed citations
i
.

About

Jin Tian is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Jin Tian has authored 72 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 13 papers in Management Science and Operations Research. Recurrent topics in Jin Tian’s work include Bayesian Modeling and Causal Inference (33 papers), Advanced Causal Inference Techniques (14 papers) and Statistical Methods and Inference (9 papers). Jin Tian is often cited by papers focused on Bayesian Modeling and Causal Inference (33 papers), Advanced Causal Inference Techniques (14 papers) and Statistical Methods and Inference (9 papers). Jin Tian collaborates with scholars based in United States, China and United Kingdom. Jin Tian's co-authors include Judea Pearl, Elias Bareinboim, Karthika Mohan, Zhihong Cai, Manabu Kuroki, Sheng Zheng, Jian Liu, Changsung Kang, Yanpeng Zhao and José P. González-Brenes and has published in prestigious journals such as Biometrics, IEEE Access and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Jin Tian

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

Fields of papers citing papers by Jin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Tian

Since Specialization
Citations

This map shows the geographic impact of Jin Tian'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 Jin Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tian 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
2026