Wei Dai
About
Wei Dai is a scholar working on Computational Mechanics, Signal Processing and Computer Networks and Communications.
According to data from OpenAlex, Wei Dai has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 28 papers in Signal Processing and 21 papers in Computer Networks and Communications. Recurrent topics in Wei Dai’s work include Sparse and Compressive Sensing Techniques (44 papers), Blind Source Separation Techniques (25 papers) and Advanced MIMO Systems Optimization (11 papers). Wei Dai is often cited by papers focused on Sparse and Compressive Sensing Techniques (44 papers), Blind Source Separation Techniques (25 papers) and Advanced MIMO Systems Optimization (11 papers). Wei Dai collaborates with scholars based in United Kingdom, United States and China. Wei Dai's co-authors include Olgica Milenković, Wenwu Wang, Linglong Dai, Zhaocheng Wang, Zhen Gao, Byonghyo Shim, Tao Xu, Vincent K. N. Lau, Ely Kerman and Brian Rider and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
In The Last Decade
Co-authorship network of co-authors of Wei Dai i
Fields of papers citing papers by Wei 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 Wei Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Wei Dai may publish in the future.
Countries citing papers authored by Wei Dai
Since SpecializationCitations
This map shows the geographic impact of Wei 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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
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