Dan Song

75 papers and 850 indexed citations i.

About

Dan Song is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Dan Song has authored 75 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 26 papers in Computational Mechanics and 22 papers in Artificial Intelligence. Recurrent topics in Dan Song’s work include 3D Shape Modeling and Analysis (26 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Human Pose and Action Recognition (17 papers). Dan Song is often cited by papers focused on 3D Shape Modeling and Analysis (26 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Human Pose and Action Recognition (17 papers). Dan Song collaborates with scholars based in China, Sweden and Australia. Dan Song's co-authors include Ruofeng Tong, Min Tang, Chengyang Li, Danica Kragić, An-An Liu, Weizhi Nie, Kai Huebner, Wenhui Li, Ville Kyrki and Carl Henrik Ek and has published in prestigious journals such as Scientific Reports, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

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

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

Countries citing papers authored by Dan Song

Since Specialization
Citations

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

Rankless by CCL
2025