Yan Song

About

Yan Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yan Song has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Control and Systems Engineering. Recurrent topics in Yan Song’s work include Machine Fault Diagnosis Techniques (12 papers), Machine Learning and ELM (10 papers) and Fault Detection and Control Systems (7 papers). Yan Song is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Machine Learning and ELM (10 papers) and Fault Detection and Control Systems (7 papers). Yan Song collaborates with scholars based in China, United States and Hong Kong. Yan Song's co-authors include Yibin Li, Lei Jia, Tianhong Yan, Bo He and Bo He and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Chemical Communications.

In The Last Decade

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

Countries citing papers authored by Yan Song

Since Specialization

Citations

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

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