Kai Song

21 papers and 332 indexed citations i.

About

Kai Song is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Economics and Econometrics. According to data from OpenAlex, Kai Song has authored 21 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 6 papers in Safety, Risk, Reliability and Quality and 5 papers in Economics and Econometrics. Recurrent topics in Kai Song’s work include Sports Analytics and Performance (5 papers), Reliability and Maintenance Optimization (5 papers) and Statistical Distribution Estimation and Applications (3 papers). Kai Song is often cited by papers focused on Sports Analytics and Performance (5 papers), Reliability and Maintenance Optimization (5 papers) and Statistical Distribution Estimation and Applications (3 papers). Kai Song collaborates with scholars based in China, United States and Spain. Kai Song's co-authors include Lirong Cui, Jian Shi, Yiqun Xue, Haiyang Wang, Zhaojun Ding, Lusheng Fan, Jinxing Lin, Huaiqing Hao, Miguel A. Botella and Liang Zhang and has published in prestigious journals such as Development, European Journal of Operational Research and IEEE Transactions on Power Systems.

In The Last Decade

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

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

Countries citing papers authored by Kai Song

Since Specialization
Citations

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

Rankless by CCL
2025