Lin Dai
About
Lin Dai is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems.
According to data from OpenAlex, Lin Dai has authored 20 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Lin Dai’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Lin Dai is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Lin Dai collaborates with scholars based in China, Pakistan and Saudi Arabia. Lin Dai's co-authors include Jingfa Xiao, Zhang Zhang, Xumin Wang, Jiayan Wu, Haiyan Zhang, Guiming Liu, Xin Gao, Yan Guo, Huaping Zhang and Arshad Ahmad and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
In The Last Decade
Co-authorship network of co-authors of Lin Dai i
Fields of papers citing papers by Lin 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 Lin Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lin Dai may publish in the future.
Countries citing papers authored by Lin Dai
Since SpecializationCitations
This map shows the geographic impact of Lin 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 Lin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Dai more than expected).
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