Song Luan

14 papers and 236 indexed citations i.

About

Song Luan is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Song Luan has authored 14 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Electrical and Electronic Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Song Luan’s work include Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (8 papers). Song Luan is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (8 papers). Song Luan collaborates with scholars based in United Kingdom, United States and China. Song Luan's co-authors include Timothy G. Constandinou, Ian Williams, Konstantin Nikolić, Yan Liu, Andrew Jackson, Rodrigo Quian Quiroga, Kianoush Nazarpour, Yan Liu, Amir Eftekhar and Yousef Salimpour and has published in prestigious journals such as Journal of Neuroscience Methods, Journal of Neural Engineering and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

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

Fields of papers citing papers by Song Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Luan. 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 Song Luan. The network helps show where Song Luan may publish in the future.

Countries citing papers authored by Song Luan

Since Specialization
Citations

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

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2025