Kai‐Sheng Song

22 papers and 435 indexed citations i.

About

Kai‐Sheng Song is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kai‐Sheng Song has authored 22 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Kai‐Sheng Song’s work include Statistical Methods and Inference (6 papers), Statistical Distribution Estimation and Applications (4 papers) and Frequency Estimation in Electrical Metrology (4 papers). Kai‐Sheng Song is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Distribution Estimation and Applications (4 papers) and Frequency Estimation in Electrical Metrology (4 papers). Kai‐Sheng Song collaborates with scholars based in United States. Kai‐Sheng Song's co-authors include Ta‐Hsin Li, Hans‐Georg Müller, Daniel J. Taylor, Hong Xiao and Myles Hollander and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

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

Countries citing papers authored by Kai‐Sheng Song

Since Specialization
Citations

This map shows the geographic impact of Kai‐Sheng 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‐Sheng 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‐Sheng Song more than expected).

Rankless by CCL
2025