Ming Tan

About

Ming Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ming Tan has authored 30 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Ming Tan’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Ming Tan is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Ming Tan collaborates with scholars based in China, United States and Canada. Ming Tan's co-authors include Lixiang Xu, Fengjie Cui, Shaojun Wang, Haibo Zhang and Xiaofeng Wang and has published in prestigious journals such as Food Chemistry, Pattern Recognition and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Ming Tan

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

Countries citing papers authored by Ming Tan

Since Specialization

Citations

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

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