Ken Chen
About
Ken Chen is a scholar working on Molecular Biology, Artificial Intelligence and Statistics, Probability and Uncertainty.
According to data from OpenAlex, Ken Chen has authored 22 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ken Chen’s work include Biomedical Text Mining and Ontologies (3 papers), Risk and Safety Analysis (3 papers) and Topic Modeling (2 papers). Ken Chen is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Risk and Safety Analysis (3 papers) and Topic Modeling (2 papers). Ken Chen collaborates with scholars based in China, United States and France. Ken Chen's co-authors include Shaodian Zhang, Heping Chen, Handong Ma and Song Zhang and has published in prestigious journals such as Cochrane library, IEEE Transactions on Industrial Electronics and Risk Analysis.
In The Last Decade
Fields of papers citing papers by Ken Chen
Since SpecializationEngineeringComputer 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 Ken Chen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ken Chen may publish in the future.
Countries citing papers authored by Ken Chen
Since SpecializationCitations
This map shows the geographic impact of Ken Chen'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 Ken Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Chen more than expected).
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