Si Si
About
Si Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health.
According to data from OpenAlex, Si Si has authored 96 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Si Si’s work include Face and Expression Recognition (10 papers), Air Quality and Health Impacts (9 papers) and Electrocatalysts for Energy Conversion (8 papers). Si Si is often cited by papers focused on Face and Expression Recognition (10 papers), Air Quality and Health Impacts (9 papers) and Electrocatalysts for Energy Conversion (8 papers). Si Si collaborates with scholars based in China, Australia and United States. Si Si's co-authors include Cho‐Jui Hsieh, Inderjit S. Dhillon, Danny Liew, Lin Fritschi and Renee N. Carey and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Si Si
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 Si Si. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Si Si may publish in the future.
Countries citing papers authored by Si Si
Since SpecializationCitations
This map shows the geographic impact of Si Si'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 Si Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Si more than expected).
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