Hanjun Dai
About
Hanjun Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Hanjun Dai has authored 28 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Hanjun Dai’s work include Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Hanjun Dai is often cited by papers focused on Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Hanjun Dai collaborates with scholars based in United States, Canada and United Kingdom. Hanjun Dai's co-authors include Le Song, Bo Dai, Le Song, Dale Schuurmans and Mayur Naik and has published in prestigious journals such as Bioinformatics, Chemistry of Materials and Acta Materialia.
In The Last Decade
Fields of papers citing papers by Hanjun 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 Hanjun Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hanjun Dai may publish in the future.
Countries citing papers authored by Hanjun Dai
Since SpecializationCitations
This map shows the geographic impact of Hanjun 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 Hanjun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjun Dai more than expected).
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