Qi Dai
About
Qi Dai is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics.
According to data from OpenAlex, Qi Dai has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Qi Dai’s work include Machine Learning in Bioinformatics (47 papers), RNA and protein synthesis mechanisms (29 papers) and Genomics and Phylogenetic Studies (28 papers). Qi Dai is often cited by papers focused on Machine Learning in Bioinformatics (47 papers), RNA and protein synthesis mechanisms (29 papers) and Genomics and Phylogenetic Studies (28 papers). Qi Dai collaborates with scholars based in China, United States and Croatia. Qi Dai's co-authors include Pingan He, Yuhua Yao, Tianming Wang, Xiaoqing Liu and Xiaoqing Liu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Qi Dai
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 Qi Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qi Dai may publish in the future.
Countries citing papers authored by Qi Dai
Since SpecializationCitations
This map shows the geographic impact of Qi Dai'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 Qi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Dai more than expected).
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