Chang Song

About

Chang Song is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Song has authored 12 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Song’s work include Advanced Memory and Neural Computing (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). Chang Song is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). Chang Song collaborates with scholars based in United States, China and Singapore. Chang Song's co-authors include Youfang Lin, Shuo Zhang, Hai Li, Yiran Chen, Tanay Karnik, Arindam Basu, Jae-sun Seo, Jyotibdha Acharya, Huichu Liu and Wei Wen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and IEEE Transactions on Computational Imaging.

In The Last Decade

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

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

Countries citing papers authored by Chang Song

Since Specialization

Citations

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

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