Bin Song
About
Bin Song is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence.
According to data from OpenAlex, Bin Song has authored 176 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 45 papers in Electrical and Electronic Engineering and 39 papers in Artificial Intelligence. Recurrent topics in Bin Song’s work include Sparse and Compressive Sensing Techniques (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Neural Network Applications (16 papers). Bin Song is often cited by papers focused on Sparse and Compressive Sensing Techniques (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Neural Network Applications (16 papers). Bin Song collaborates with scholars based in China, United States and Qatar. Bin Song's co-authors include Xiaojiang Du, Mohsen Guizani, Jie Guo, Dan Wang, Xi Yang, Xinbo Gao, Hao Qin, F. Richard Yu, Nannan Wang and Yinghua Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and The Journal of Organic Chemistry.
In The Last Decade
Co-authorship network of co-authors of Bin Song i
Fields of papers citing papers by Bin Song
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 Bin Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Song may publish in the future.
Countries citing papers authored by Bin Song
Since SpecializationCitations
This map shows the geographic impact of Bin 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 Bin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Song more than expected).
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