Song Han

75 papers and 7.4k indexed citations i.

About

Song Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Song Han has authored 75 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Song Han’s work include Advanced Neural Network Applications (34 papers), Quantum Information and Cryptography (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). Song Han is often cited by papers focused on Advanced Neural Network Applications (34 papers), Quantum Information and Cryptography (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). Song Han collaborates with scholars based in United States, China and United Kingdom. Song Han's co-authors include Zhijian Liu, Ji Lin, Hanrui Wang, William J. Dally and Yujun Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Marketing Research and Proceedings of the IEEE.

In The Last Decade

Fields of papers citing papers by Song Han

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

Countries citing papers authored by Song Han

Since Specialization
Citations

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

Rankless by CCL
2025