Yun Tang
About
Yun Tang is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology.
According to data from OpenAlex, Yun Tang has authored 31 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Signal Processing and 4 papers in Molecular Biology. Recurrent topics in Yun Tang’s work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (8 papers). Yun Tang is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (8 papers). Yun Tang collaborates with scholars based in China, United States and Canada. Yun Tang's co-authors include Bowen Zhou, Jing Huang, Xiaodong He, Jinbo Bi, Chao Shang, Juan Pino, Changhan Wang, Mark A. Pitt, Xiaodong He and Xian Li and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Energy and IEEE Access.
In The Last Decade
Co-authorship network of co-authors of Yun Tang i
Fields of papers citing papers by Yun Tang
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 Yun Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yun Tang may publish in the future.
Countries citing papers authored by Yun Tang
Since SpecializationCitations
This map shows the geographic impact of Yun Tang'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 Yun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Tang more than expected).
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