Xiao Fang

64 papers and 642 indexed citations i.

About

Xiao Fang is a scholar working on Statistics and Probability, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiao Fang has authored 64 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Xiao Fang’s work include Random Matrices and Applications (14 papers), Web Data Mining and Analysis (9 papers) and Point processes and geometric inequalities (7 papers). Xiao Fang is often cited by papers focused on Random Matrices and Applications (14 papers), Web Data Mining and Analysis (9 papers) and Point processes and geometric inequalities (7 papers). Xiao Fang collaborates with scholars based in United States, Hong Kong and China. Xiao Fang's co-authors include Olivia R. Liu Sheng, Michael Chau, Qi-Man Shao, Paul Jen‐Hwa Hu and Daniel Zeng and has published in prestigious journals such as Management Science, Scientific Reports and MIS Quarterly.

In The Last Decade

Fields of papers citing papers by Xiao 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 Xiao Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiao Fang may publish in the future.

Countries citing papers authored by Xiao Fang

Since Specialization
Citations

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

Rankless by CCL
2025