Qun Dai
About
Qun Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Qun Dai has authored 69 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Qun Dai’s work include Neural Networks and Applications (23 papers), Machine Learning and ELM (17 papers) and Face and Expression Recognition (14 papers). Qun Dai is often cited by papers focused on Neural Networks and Applications (23 papers), Machine Learning and ELM (17 papers) and Face and Expression Recognition (14 papers). Qun Dai collaborates with scholars based in China. Qun Dai's co-authors include Rui Ye, Ningzhong Liu, Gang Song, Meiling Li and Songcan Chen and has published in prestigious journals such as Expert Systems with Applications, Molecules and Journal of Alloys and Compounds.
In The Last Decade
Fields of papers citing papers by Qun Dai
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 Qun Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qun Dai may publish in the future.
Countries citing papers authored by Qun Dai
Since SpecializationCitations
This map shows the geographic impact of Qun Dai'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 Qun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Dai more than expected).
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