Jin Tian

About

Jin Tian is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin Tian has authored 75 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin Tian’s work include Bayesian Modeling and Causal Inference (32 papers), Advanced Causal Inference Techniques (15 papers) and Statistical Methods and Inference (10 papers). Jin Tian is often cited by papers focused on Bayesian Modeling and Causal Inference (32 papers), Advanced Causal Inference Techniques (15 papers) and Statistical Methods and Inference (10 papers). Jin Tian collaborates with scholars based in United States, China and United Kingdom. Jin Tian's co-authors include Judea Pearl, Elias Bareinboim, Changsung Kang and Fang Peng and has published in prestigious journals such as Biometrics, IEEE Access and PLoS Computational Biology.

In The Last Decade

Fields of papers citing papers by Jin Tian

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jin Tian. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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