Dian Wu

30 papers and 2.0k indexed citations i.

About

Dian Wu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Dian Wu has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Dian Wu’s work include Quantum Information and Cryptography (21 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (12 papers). Dian Wu is often cited by papers focused on Quantum Information and Cryptography (21 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (12 papers). Dian Wu collaborates with scholars based in China, Germany and United States. Dian Wu's co-authors include Chao‐Yang Lu, Jian-Wei Pan, Xi‐Lin Wang, Zu-En Su, Li Li, Ming-Cheng Chen, Nai-Le Liu, Xin-Dong Cai, Sven Höfling and Christian Schneider and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of Dian Wu i

Fields of papers citing papers by Dian Wu

Since Specialization
EngineeringComputer 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 Dian Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dian Wu may publish in the future.

Countries citing papers authored by Dian Wu

Since Specialization
Citations

This map shows the geographic impact of Dian 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 Dian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Wu more than expected).

Rankless by CCL
2025