Song Lin
About
Song Lin is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering.
According to data from OpenAlex, Song Lin has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 49 papers in Atomic and Molecular Physics, and Optics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Song Lin’s work include Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (54 papers) and Quantum Mechanics and Applications (45 papers). Song Lin is often cited by papers focused on Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (54 papers) and Quantum Mechanics and Applications (45 papers). Song Lin collaborates with scholars based in China, United Kingdom and Switzerland. Song Lin's co-authors include Fu-Chen Zhu, Qiaoyan Wen, Fei Gao, Gongde Guo, Xiaofen Liu, Chao‐Hua Yu, Fen-Zhuo Guo, Ying Sun, Su‐Juan Qin and Wen Qiao-yan and has published in prestigious journals such as Physical Review A, Physics Letters A and Physica A Statistical Mechanics and its Applications.
In The Last Decade
Co-authorship network of co-authors of Song Lin i
Fields of papers citing papers by Song Lin
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 Song Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Lin may publish in the future.
Countries citing papers authored by Song Lin
Since SpecializationCitations
This map shows the geographic impact of Song Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Lin more than expected).
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