Heming Ge

About

Heming Ge is a scholar working on Artificial Intelligence, Molecular Biology and Cell Biology. According to data from OpenAlex, Heming Ge has authored 4 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 0 papers in Cell Biology. Recurrent topics in Heming Ge’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Biomedical Text Mining and Ontologies (1 paper). Heming Ge is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Biomedical Text Mining and Ontologies (1 paper). Heming Ge collaborates with scholars based in United States and Switzerland. Heming Ge's co-authors include Daniel Cer, Brian Strope, Yun-Hsuan Sung, Yinfei Yang and Ray Kurzweil and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Heming Ge

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

Countries citing papers authored by Heming Ge

Since Specialization

Citations

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

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