Bei Song

414 total citations
7 papers, 275 citations indexed

About

Bei Song is a scholar working on Cognitive Neuroscience, Music and Clinical Psychology. According to data from OpenAlex, Bei Song has authored 7 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Music and 1 paper in Clinical Psychology. Recurrent topics in Bei Song's work include Neuroscience and Music Perception (5 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (3 papers). Bei Song is often cited by papers focused on Neuroscience and Music Perception (5 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (3 papers). Bei Song collaborates with scholars based in China, Sweden and United Kingdom. Bei Song's co-authors include Yi Hu, Yafeng Pan, Giacomo Novembre, Xianchun Li, Yi Zhu, Yinying Hu, Yingying Hou, Xiaojun Cheng, Theodore P. Beauchaine and Jiancheng Hou and has published in prestigious journals such as NeuroImage, Social Cognitive and Affective Neuroscience and Journal of Visualized Experiments.

In The Last Decade

Bei Song

7 papers receiving 271 citations

Peers

Bei Song
Bei Song
Citations per year, relative to Bei Song Bei Song (= 1×) peers Guillem Olivé

Countries citing papers authored by Bei Song

Since Specialization
Citations

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

Fields of papers citing papers by Bei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Song. A scholar is included among the top collaborators of Bei Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bei Song. Bei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Hou, Yingying, et al.. (2024). Acquiring musical knowledge increases music liking: Evidence from a neurophysiological study. PsyCh Journal. 13(6). 927–942. 1 indexed citations
2.
Hu, Yinying, Bei Song, Yafeng Pan, et al.. (2021). How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study. Journal of Visualized Experiments. 11 indexed citations
3.
Song, Bei, et al.. (2021). How do college musicians self-manage musical performance anxiety: Strategies through time periods and types of performance. International Journal of Music Education. 39(2). 95–118. 13 indexed citations
4.
Hou, Yingying, et al.. (2020). The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance. NeuroImage. 211. 116655–116655. 37 indexed citations
5.
Pan, Yafeng, Giacomo Novembre, Bei Song, Yi Zhu, & Yi Hu. (2020). Dual brain stimulation enhances interpersonal learning through spontaneous movement synchrony. Social Cognitive and Affective Neuroscience. 16(1-2). 210–221. 69 indexed citations
6.
Pan, Yafeng, Giacomo Novembre, Bei Song, Xianchun Li, & Yi Hu. (2018). Interpersonal synchronization of inferior frontal cortices tracks social interactive learning of a song. NeuroImage. 183. 280–290. 135 indexed citations
7.
Hou, Jiancheng, et al.. (2016). Neural correlates of absolute pitch: A review. Musicae Scientiae. 21(3). 287–302. 9 indexed citations

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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