Shankai Yan

About

Shankai Yan is a scholar working on Molecular Biology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Shankai Yan has authored 16 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Shankai Yan’s work include Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (4 papers). Shankai Yan is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (4 papers). Shankai Yan collaborates with scholars based in Hong Kong, China and United States. Shankai Yan's co-authors include Ka‐Chun Wong, Zhiyong Lu, Qiuzhen Lin, Ling Luo and Xiangtao Li and has published in prestigious journals such as Bioinformatics, PLoS Computational Biology and ACM Computing Surveys.

In The Last Decade

Fields of papers citing papers by Shankai Yan

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

Countries citing papers authored by Shankai Yan

Since Specialization

Citations

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

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