Kaiyou Song

About

Kaiyou Song is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Kaiyou Song has authored 16 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Kaiyou Song’s work include Advanced Image and Video Retrieval Techniques (7 papers), Industrial Vision Systems and Defect Detection (6 papers) and Multimodal Machine Learning Applications (4 papers). Kaiyou Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Industrial Vision Systems and Defect Detection (6 papers) and Multimodal Machine Learning Applications (4 papers). Kaiyou Song collaborates with scholars based in China. Kaiyou Song's co-authors include Zhouping Yin, Hua Yang, Shuang Mei, Bo Tao, Jin Xie, Fei‐Yue Wang, Zhaoxiang Zhang, Haochen Wang, Junsong Fan and Yuxi Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Industrial Informatics.

In The Last Decade

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

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

Countries citing papers authored by Kaiyou Song

Since Specialization

Citations

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

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