Song Yang

29 papers and 834 indexed citations i.

About

Song Yang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Song Yang has authored 29 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 10 papers in Materials Chemistry. Recurrent topics in Song Yang’s work include Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (6 papers) and Carbon and Quantum Dots Applications (5 papers). Song Yang is often cited by papers focused on Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (6 papers) and Carbon and Quantum Dots Applications (5 papers). Song Yang collaborates with scholars based in China, United States and United Kingdom. Song Yang's co-authors include K.-M. Lau, Abolfazl Bayat, Sougato Bose, ShengLi Zhang, Guang‐Can Guo, Xu‐Bo Zou, Fengjia Fan, Jiaojiao Song, Huaibin Shen and Haiguang Zhao and has published in prestigious journals such as Environmental Science & Technology, Applied Physics Letters and Nature Nanotechnology.

In The Last Decade

Co-authorship network of co-authors of Song Yang i

Fields of papers citing papers by Song Yang

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 Song Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Yang may publish in the future.

Countries citing papers authored by Song Yang

Since Specialization
Citations

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

Rankless by CCL
2025