Jin Tian
- Artificial Intelligence top 2%
- Statistics and Probability top 1%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Judea PearlElias BareinboimKarthika MohanZhihong CaiJian LiuManabu KurokiSheng ZhengChangsung Kang
- Topics
- Bayesian Modeling and Causal Inference (36 papers)Advanced Causal Inference Techniques (15 papers)Statistical Methods and Inference (9 papers)
- Cited by
- Statistics and ProbabilityArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jin Tian
92 papers receiving 956 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 504
- Statistics and Probability 331
- Management Science and Operations Research 112
- Computer Vision and Pattern Recognition 99
- Computer Networks and Communications 71
Countries citing papers authored by Jin Tian
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).
Fields of papers citing papers by Jin Tian
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.
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning | 2 |
| 2 | 3 | |
| 3 | Learning Causal Effects via Weighted Empirical Risk Minimization | 9 |
| 4 | 10 | |
| 5 | Adjustment Criteria for Generalizing Experimental Findings | 3 |
| 6 | Structure learning in Bayesian networks of a moderate size by efficient sampling | 1 |
| 7 | 8 | |
| 8 | Joint Discovery of Skill Prerequisite Graphs and Student Models. | 24 |
| 9 | Degree Correlation of Urban Street Networks | 1 |
| 10 | Formalization and New Algorithm of stroke Generation in Road Networks | 2 |
| 11 | A New Typification Method for Ditches with Almost Parallel Distribution | 1 |
| 12 | A New Method for Identifying Radial Pattern in Vector Road Networks | 1 |
| 13 | The Effect of the Position and Content-relative on Web-ads:An Eye Movement Study | 2 |
| 14 | A Two-Stage Fault Detection Structure for JIDS/SINS/GPS Integrated Navigation System | 1 |
| 15 | A criterion for parameter identification in structural equation models | 4 |
| 16 | A Hybrid Generative/Discriminative Bayesian Classifier. | 11 |
| 17 | Generating Markov equivalent maximal ancestral graphs by single edge replacement | 3 |
| 18 | 11 | |
| 19 | 110 | |
| 20 | A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks | 30 |
About Jin Tian
Jin Tian is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 98 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (36 papers), Advanced Causal Inference Techniques (15 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Statistics and Probability (331 citations), Artificial Intelligence (504 citations) and Management Science and Operations Research (112 citations). Jin Tian has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Judea Pearl, Elias Bareinboim, Karthika Mohan, Zhihong Cai, Jian Liu, Manabu Kuroki, Sheng Zheng, Changsung Kang, Seokin Hong and José P. González-Brenes. Their work appears in journals such as Biometrics, IEEE Access and PLoS Computational Biology.
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.