Le Song

25 papers and 790 indexed citations i.

About

Le Song is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Le Song has authored 25 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Le Song’s work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (4 papers). Le Song is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (4 papers). Le Song collaborates with scholars based in China, United States and Australia. Le Song's co-authors include Eric P. Xing, Mladen Kolar, Donna M. Palmer, Leanne M. Williams, Evian Gordon, Belinda J. Liddell, Wenjie Fu, Amr Ahmed, Julien Epps and Yinghong Ma and has published in prestigious journals such as Bioinformatics, NeuroImage and The Science of The Total Environment.

In The Last Decade

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

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).

Rankless by CCL
2025