Song Feng
About
Song Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Song Feng has authored 25 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Song Feng’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Song Feng is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Song Feng collaborates with scholars based in United States and China. Song Feng's co-authors include Yejin Choi, Vicente Ordóñez, Sachindra Joshi, Luis Lastras and Chulaka Gunasekara and has published in prestigious journals such as Scientific Reports, European Radiology and ISA Transactions.
In The Last Decade
Fields of papers citing papers by Song Feng
Since SpecializationEngineeringComputer 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 Feng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Feng may publish in the future.
Countries citing papers authored by Song Feng
Since SpecializationCitations
This map shows the geographic impact of Song Feng'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 Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Feng more than expected).
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