Kun Song

About

Kun Song is a scholar working on Cognitive Neuroscience, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Kun Song has authored 17 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Kun Song’s work include Neural dynamics and brain function (4 papers), Speech Recognition and Synthesis (3 papers) and Neuroscience and Music Perception (2 papers). Kun Song is often cited by papers focused on Neural dynamics and brain function (4 papers), Speech Recognition and Synthesis (3 papers) and Neuroscience and Music Perception (2 papers). Kun Song collaborates with scholars based in China, United States and Germany. Kun Song's co-authors include Huan Luo, Ke Zhou, Ming Meng, Lin Chen, Zhihai Qin, Moritz Helmstaedter, Xing Tian, David Poeppel, Hongzhang Deng and Anjie Dong and has published in prestigious journals such as Science, Journal of Neuroscience and Nature Methods.

In The Last Decade

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

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Fields of papers citing papers by Kun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Song

Since Specialization

Citations

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

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