Songfan Yang

35 papers and 963 indexed citations i.

About

Songfan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Songfan Yang has authored 35 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Songfan Yang’s work include Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (9 papers) and Human Pose and Action Recognition (8 papers). Songfan Yang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (9 papers) and Human Pose and Action Recognition (8 papers). Songfan Yang collaborates with scholars based in China, United States and Singapore. Songfan Yang's co-authors include Le An, Bir Bhanu, Zitao Liu, Jiliang Tang and Mehran Kafai and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and Pattern Recognition.

In The Last Decade

Fields of papers citing papers by Songfan Yang

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

Countries citing papers authored by Songfan Yang

Since Specialization
Citations

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

Rankless by CCL
2025