Song-Gui Wang

46 papers and 337 indexed citations i.

About

Song-Gui Wang is a scholar working on Statistics and Probability, Applied Mathematics and Management Science and Operations Research. According to data from OpenAlex, Song-Gui Wang has authored 46 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 11 papers in Applied Mathematics and 7 papers in Management Science and Operations Research. Recurrent topics in Song-Gui Wang’s work include Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (8 papers). Song-Gui Wang is often cited by papers focused on Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (8 papers). Song-Gui Wang collaborates with scholars based in China, Hong Kong and United States. Song-Gui Wang's co-authors include Shein‐Chung Chow, Frank B. Martin, Tiefeng Ma, Angela Dean, Liwen Xu, Erkki P. Liski, Chi‐Fang Wu, Jun Shao, Hans Nyquist and Hu Yang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Song-Gui Wang i

Fields of papers citing papers by Song-Gui Wang

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 Song-Gui Wang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song-Gui Wang may publish in the future.

Countries citing papers authored by Song-Gui Wang

Since Specialization
Citations

This map shows the geographic impact of Song-Gui Wang'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 Song-Gui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song-Gui Wang more than expected).

Rankless by CCL
2025