Kai‐Tai Fang

About

Kai‐Tai Fang is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Kai‐Tai Fang has authored 86 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 19 papers in Management Science and Operations Research and 16 papers in Computational Theory and Mathematics. Recurrent topics in Kai‐Tai Fang’s work include Advanced Statistical Methods and Models (26 papers), Statistical Distribution Estimation and Applications (16 papers) and Optimal Experimental Design Methods (16 papers). Kai‐Tai Fang is often cited by papers focused on Advanced Statistical Methods and Models (26 papers), Statistical Distribution Estimation and Applications (16 papers) and Optimal Experimental Design Methods (16 papers). Kai‐Tai Fang collaborates with scholars based in Hong Kong, China and United States. Kai‐Tai Fang's co-authors include Yi‐Zeng Liang, Samuel Kotz, Jianxin Pan, Runze Li and Rahul Mukerjee and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Chromatography A.

In The Last Decade

Fields of papers citing papers by Kai‐Tai Fang

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 Kai‐Tai Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai‐Tai Fang may publish in the future.

Countries citing papers authored by Kai‐Tai Fang

Since Specialization

Citations

This map shows the geographic impact of Kai‐Tai Fang'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 Kai‐Tai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Tai Fang more than expected).

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