Hang Yan
About
Hang Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Hang Yan has authored 39 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Yan’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Hang Yan is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Hang Yan collaborates with scholars based in China, United States and Canada. Hang Yan's co-authors include Xipeng Qiu, Xuanjing Huang, Junqi Dai, Tianxiang Sun and Qiongrong Ou and has published in prestigious journals such as Chemical Communications, Journal of Materials Science and Analytica Chimica Acta.
In The Last Decade
Fields of papers citing papers by Hang Yan
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 Hang Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hang Yan may publish in the future.
Countries citing papers authored by Hang Yan
Since SpecializationCitations
This map shows the geographic impact of Hang Yan'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 Hang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yan more than expected).
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