Ming He

About

Ming He is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming He has authored 34 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming He’s work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Ming He is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Ming He collaborates with scholars based in China, Hong Kong and United States. Ming He's co-authors include Hongke Zhao, Yong Ge, Shouqin Sun, Yadong Wang and Junyi Li and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Chemosphere.

In The Last Decade

Fields of papers citing papers by Ming He

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

Countries citing papers authored by Ming He

Since Specialization

Citations

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

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