Jin Tian
Impact in
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 36
-
- Advanced Causal Inference Techniques 15
- Statistical Methods and Inference 9
- Co-authors
- Judea Pearl (12 shared papers)Elias Bareinboim (12 shared papers)Karthika Mohan (2 shared papers)Zhihong Cai (1 shared paper)Jian Liu (1 shared paper)Manabu Kuroki (1 shared paper)Sheng Zheng (2 shared papers)Changsung Kang (3 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)Journal of Machine Learning Research (2 papers)Inquiry (1 paper)Neurocomputing (1 paper)Statistica Sinica (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jin Tian
92 papers receiving 991 citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 334
- Artificial Intelligence 513
- Management Science and Operations Research 113
- Hardware and Architecture 59
- Computational Mathematics 3
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-authors
The 25 scholars most cited alongside Jin Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 113 | |
| 2 | 2007 | 61 | |
| 3 | 2014 | 60 | |
| 4 | Graphical Models for Inference with Missing Data | 2013 | 48 |
| 5 | 2004 | 46 | |
| 6 | A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks | 2000 | 30 |
| 7 | 2017 | 26 | |
| 8 | 2019 | 26 | |
| 9 | Studies in causal reasoning and learning | 2002 | 26 |
| 10 | 2021 | 26 | |
| 11 | 2015 | 25 | |
| 12 | Joint Discovery of Skill Prerequisite Graphs and Student Models. | 2016 | 24 |
| 13 | 2016 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2000 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2014 | 16 | |
| 20 | 2019 | 16 |
About Jin Tian
Jin Tian is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Management Science and Operations Research and Information Systems, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (36 papers), Advanced Causal Inference Techniques (15 papers), Statistical Methods and Inference (9 papers), Multi-Criteria Decision Making (6 papers), Data Quality and Management (6 papers), Cloud Computing and Resource Management (5 papers), Advanced SAR Imaging Techniques (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Statistics and Probability (334 citations), Artificial Intelligence (513 citations), Management Science and Operations Research (113 citations), Hardware and Architecture (59 citations) and Computational Mathematics (3 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 INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Journal of Machine Learning Research, Inquiry, Neurocomputing and Statistica Sinica.
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.