Ming Yan

About

Ming Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ming Yan has authored 46 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Ming Yan’s work include Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Topic Modeling (8 papers). Ming Yan is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Topic Modeling (8 papers). Ming Yan collaborates with scholars based in China, United States and Singapore. Ming Yan's co-authors include Bin Bi, Changsheng Xu, Fei Huang and Songfang Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Sensors.

In The Last Decade

Fields of papers citing papers by Ming Yan

Since Specialization

EngineeringComputer 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 Ming Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Yan may publish in the future.

Countries citing papers authored by Ming Yan

Since Specialization

Citations

This map shows the geographic impact of Ming 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 Ming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).

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