Lei Bi
About
Lei Bi is a scholar working on Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Lei Bi has authored 5 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Lei Bi’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (1 paper) and Data Management and Algorithms (1 paper). Lei Bi is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (1 paper) and Data Management and Algorithms (1 paper). Lei Bi collaborates with scholars based in China, Denmark and Hong Kong. Lei Bi's co-authors include Christian S. Jensen, Bolong Zheng, Juan Cao, Zeng Fan-dian and Yupeng Xu and has published in prestigious journals such as Toxicology Letters, Pattern Recognition Letters and Computer Methods and Programs in Biomedicine.
In The Last Decade
Fields of papers citing papers by Lei Bi
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 Lei Bi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lei Bi may publish in the future.
Countries citing papers authored by Lei Bi
Since SpecializationCitations
This map shows the geographic impact of Lei Bi'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 Lei Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Bi more than expected).
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