Guo‐Liang Tian
About
Guo‐Liang Tian is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research.
According to data from OpenAlex, Guo‐Liang Tian has authored 166 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Statistics and Probability, 33 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Guo‐Liang Tian’s work include Statistical Methods and Bayesian Inference (65 papers), Statistical Methods and Inference (42 papers) and Statistical Distribution Estimation and Applications (32 papers). Guo‐Liang Tian is often cited by papers focused on Statistical Methods and Bayesian Inference (65 papers), Statistical Methods and Inference (42 papers) and Statistical Distribution Estimation and Applications (32 papers). Guo‐Liang Tian collaborates with scholars based in China, Hong Kong and United States. Guo‐Liang Tian's co-authors include Man‐Lai Tang, Ming Tan, Kai Wang Ng, Hong‐Bin Fang, Mingqiu Wang, Wei Lin, Scott E. Strome, Peter J. Houghton, Xingfa Gu and Qinhuo Liu and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of Molecular Biology.
In The Last Decade
Co-authorship network of co-authors of Guo‐Liang Tian i
Fields of papers citing papers by Guo‐Liang Tian
Since SpecializationEngineeringComputer 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 Guo‐Liang Tian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guo‐Liang Tian may publish in the future.
Countries citing papers authored by Guo‐Liang Tian
Since SpecializationCitations
This map shows the geographic impact of Guo‐Liang 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 Guo‐Liang Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Liang Tian more than expected).
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