Qifan Song

37 papers and 491 indexed citations i.

About

Qifan Song is a scholar working on Statistics and Probability, Artificial Intelligence and Rehabilitation. According to data from OpenAlex, Qifan Song has authored 37 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 7 papers in Rehabilitation. Recurrent topics in Qifan Song’s work include Statistical Methods and Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Bayesian Methods and Mixture Models (8 papers). Qifan Song is often cited by papers focused on Statistical Methods and Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Bayesian Methods and Mixture Models (8 papers). Qifan Song collaborates with scholars based in United States, China and Australia. Qifan Song's co-authors include Faming Liang, Bruno T. Roseguini, Kyoungrae Kim, Shihuan Kuang, Kai Yu, Peihua Qiu, Timothy P. Gavin, Ping Yang, Yichen Cheng and Jincheol Park and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Applied Physiology.

In The Last Decade

Co-authorship network of co-authors of Qifan Song i

Fields of papers citing papers by Qifan Song

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

Countries citing papers authored by Qifan Song

Since Specialization
Citations

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

Rankless by CCL
2025