Hua Min

About

Hua Min is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Hua Min has authored 79 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 23 papers in Artificial Intelligence and 11 papers in Cancer Research. Recurrent topics in Hua Min’s work include Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (16 papers) and Creativity in Education and Neuroscience (6 papers). Hua Min is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (16 papers) and Creativity in Education and Neuroscience (6 papers). Hua Min collaborates with scholars based in United States, China and United Kingdom. Hua Min's co-authors include Yehoshua Perl, Michael Halper, Ming Hong, Xiang Guo and Yan Xiang and has published in prestigious journals such as PLoS ONE, Molecules and Frontiers in Psychology.

In The Last Decade

Fields of papers citing papers by Hua Min

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

Countries citing papers authored by Hua Min

Since Specialization

Citations

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

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