Kang‐Da Wu
About
Kang‐Da Wu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics.
According to data from OpenAlex, Kang‐Da Wu has authored 20 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Kang‐Da Wu’s work include Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (11 papers). Kang‐Da Wu is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (11 papers). Kang‐Da Wu collaborates with scholars based in China, Poland and India. Kang‐Da Wu's co-authors include Guo‐Yong Xiang, Chuan‐Feng Li, Guang−Can Guo, Alexander Streltsov, Guang‐Can Guo, Zhibo Hou, Carlo Maria Scandolo, Tulja Varun Kondra, Swapan Rana and Yuan Yuan and has published in prestigious journals such as Physical Review Letters, Nature Communications and Science Advances.
In The Last Decade
Co-authorship network of co-authors of Kang‐Da Wu i
Fields of papers citing papers by Kang‐Da Wu
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 Kang‐Da Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kang‐Da Wu may publish in the future.
Countries citing papers authored by Kang‐Da Wu
Since SpecializationCitations
This map shows the geographic impact of Kang‐Da Wu'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 Kang‐Da Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang‐Da Wu more than expected).
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