Le Song

About

Le Song is a scholar working on Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Le Song has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Artificial Intelligence and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Le Song’s work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (9 papers) and Point processes and geometric inequalities (7 papers). Le Song is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (9 papers) and Point processes and geometric inequalities (7 papers). Le Song collaborates with scholars based in United States, China and Germany. Le Song's co-authors include Hongyuan Zha, Mehrdad Farajtabar, Hanjun Dai, Xiaojing Ye and Yao Xie and has published in prestigious journals such as Bioinformatics, Chemistry of Materials and Nature Methods.

In The Last Decade

Fields of papers citing papers by Le Song

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

Countries citing papers authored by Le Song

Since Specialization

Citations

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

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