Min Yang
About
Min Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Min Yang has authored 144 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Artificial Intelligence, 32 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Yang’s work include Topic Modeling (64 papers), Text and Document Classification Technologies (25 papers) and Advanced Text Analysis Techniques (24 papers). Min Yang is often cited by papers focused on Topic Modeling (64 papers), Text and Document Classification Technologies (25 papers) and Advanced Text Analysis Techniques (24 papers). Min Yang collaborates with scholars based in China, Hong Kong and United States. Min Yang's co-authors include Ying Shen, Xiaojun Chen, Qiang Qu, Kai Lei and Zhou Zhao and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Sensors.
In The Last Decade
Fields of papers citing papers by Min Yang
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 Min Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Min Yang may publish in the future.
Countries citing papers authored by Min Yang
Since SpecializationCitations
This map shows the geographic impact of Min Yang'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 Min Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Yang more than expected).
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