Ying Shen

136 papers and 2.6k indexed citations i.

About

Ying Shen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Shen has authored 136 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 20 papers in Molecular Biology and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Shen’s work include Topic Modeling (68 papers), Natural Language Processing Techniques (29 papers) and Advanced Graph Neural Networks (17 papers). Ying Shen is often cited by papers focused on Topic Modeling (68 papers), Natural Language Processing Techniques (29 papers) and Advanced Graph Neural Networks (17 papers). Ying Shen collaborates with scholars based in China, United States and Hong Kong. Ying Shen's co-authors include Min Yang, Kai Lei, Yaliang Li, Qiang Qu and Zhou Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Fields of papers citing papers by Ying Shen

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

Countries citing papers authored by Ying Shen

Since Specialization

Citations

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

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