Yiying Song

2.1k total citations
61 papers, 1.5k citations indexed

About

Yiying Song is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yiying Song has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 23 papers in Experimental and Cognitive Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yiying Song's work include Functional Brain Connectivity Studies (23 papers), Face Recognition and Perception (22 papers) and Neural dynamics and brain function (11 papers). Yiying Song is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Face Recognition and Perception (22 papers) and Neural dynamics and brain function (11 papers). Yiying Song collaborates with scholars based in China, United States and Netherlands. Yiying Song's co-authors include Jia Liu, Zonglei Zhen, Xu Wang, Siyuan Hu, Feng Kong, Zetian Yang, Xueting Li, Lijie Huang, Xiangzhen Kong and Qi Zhu and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yiying Song

58 papers receiving 1.5k citations

Peers

Yiying Song
Comparison fields: 5 of 113
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 524
  • Social Psychology 240
  • Computer Vision and Pattern Recognition 198
  • Clinical Psychology 196
Keisuke Fukuda United States
Signe Vangkilde Denmark
Sebastian Jentschke Germany
Yulia Golland Israel
Shota Uono Japan
Zonglei Zhen China
Swann Pichon Switzerland
Michael J. Coleman United States
Caroline Blais Canada
Anna Nowicka Poland
Keisuke Fukuda United States View profile →
Citations per field, relative to Yiying Song
Yiying Song · 1×
Citations per year, relative to Yiying Song
Yiying Song · 1×

Countries citing papers authored by Yiying Song

Since Specialization
Citations

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

Fields of papers citing papers by Yiying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yiying Song. A scholar is included among the top collaborators of Yiying 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 Yiying Song. Yiying 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 0
2 0
3 5
4 8
5 0
6 8
7 4
8 8
9 11
10 32
11 13
12 7
13 24
14 37
15 63
16 47
17 112
18 32
19 187
20 18

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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