Chen Song

1.6k total citations
29 papers, 934 citations indexed

About

Chen Song is a scholar working on Cognitive Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Chen Song has authored 29 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Social Psychology. Recurrent topics in Chen Song's work include Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (16 papers) and Functional Brain Connectivity Studies (6 papers). Chen Song is often cited by papers focused on Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (16 papers) and Functional Brain Connectivity Studies (6 papers). Chen Song collaborates with scholars based in United Kingdom, China and United States. Chen Song's co-authors include Geraint Rees, D. Samuel Schwarzkopf, Ryota Kanai, Stephen M. Fleming, Rimona S. Weil, Haishan Yao, Enzo Tagliazucchi, Bahador Bahrami, Julia J. Harris and Giulio Tononi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Chen Song

28 papers receiving 923 citations

Peers

Chen Song
Comparison fields: 5 of 88
  • Cognitive Neuroscience 805
  • Experimental and Cognitive Psychology 158
  • Social Psychology 81
  • Cellular and Molecular Neuroscience 68
  • Molecular Biology 64
Replace Min Bao with:
Min Bao China
Isabel Arend Israel
Adrian L. Williams United Kingdom
Anirvan S. Nandy United States
Brian Barton United States
Stephenie Harrison United States
Catherine Hanson United States
Jiefeng Jiang United States
Jürgen Kornmeier Germany
Claudine Habak Canada
Min Bao China View profile →
Citations per field, relative to Chen Song
Chen Song · 1×
Citations per year, relative to Chen Song
Chen Song · 1×

Countries citing papers authored by Chen Song

Since Specialization
Citations

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

Fields of papers citing papers by Chen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Song. A scholar is included among the top collaborators of Chen 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 Chen Song. Chen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 0
5 20
6 11
7 16
8 27
9 17
10 17
11 54
12 46
13 33
14 58
15 5
16 36
17 45
18 108
19 234
20 17

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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