Le Song

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

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Le Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Le Song. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact