Song Lan

About

Song Lan is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Song Lan has authored 25 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 8 papers in Statistical and Nonlinear Physics and 6 papers in Artificial Intelligence. Recurrent topics in Song Lan’s work include Advanced Fiber Laser Technologies (9 papers), Nonlinear Photonic Systems (8 papers) and Photorefractive and Nonlinear Optics (6 papers). Song Lan is often cited by papers focused on Advanced Fiber Laser Technologies (9 papers), Nonlinear Photonic Systems (8 papers) and Photorefractive and Nonlinear Optics (6 papers). Song Lan collaborates with scholars based in China, United States and Israel. Song Lan's co-authors include Mordechai Segev, Ming-Feng Shih, J. A. Giordmaine, Hai-Sheng Li and Ri‐Gui Zhou and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Optics Letters.

In The Last Decade

Fields of papers citing papers by Song Lan

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

Countries citing papers authored by Song Lan

Since Specialization

Citations

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

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