Bin Dai
About
Bin Dai is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering.
According to data from OpenAlex, Bin Dai has authored 129 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 30 papers in Automotive Engineering and 24 papers in Aerospace Engineering. Recurrent topics in Bin Dai’s work include Autonomous Vehicle Technology and Safety (27 papers), Robotics and Sensor-Based Localization (23 papers) and Advanced Neural Network Applications (15 papers). Bin Dai is often cited by papers focused on Autonomous Vehicle Technology and Safety (27 papers), Robotics and Sensor-Based Localization (23 papers) and Advanced Neural Network Applications (15 papers). Bin Dai collaborates with scholars based in China, United States and Australia. Bin Dai's co-authors include Liang Xiao, Daxue Liu, Hao Fu and Xin Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Technometrics.
In The Last Decade
Fields of papers citing papers by Bin 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 Bin Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Dai may publish in the future.
Countries citing papers authored by Bin Dai
Since SpecializationCitations
This map shows the geographic impact of Bin 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 Bin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dai more than expected).
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