Yilin Song

1.9k citations
110 papers · 1.4k indexed · 1 hit paper · h-index 21
Topics
Neuroscience and Neural Engineering (71 papers)Neural dynamics and brain function (34 papers)EEG and Brain-Computer Interfaces (24 papers)

In The Last Decade

Yilin Song

104 papers receiving 1.4k citations

Hit Papers

Remote sensing image super-resolution and object detectio...2022202620232024202250100150

Peers

Yilin Song
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 694
  • Electrical and Electronic Engineering 557
  • Cognitive Neuroscience 337
  • Polymers and Plastics 251
  • Biomedical Engineering 243
Replace Weihua Pei with:
Weihua Pei China
Philip R. Troyk United States
Sohmyung Ha South Korea
Abraham Vázquez‐Guardado United States
Ning Xue China
Xiaoyang Kang China
Alfred Stett Germany
Farid Atry United States
Srinjoy Mitra United Kingdom
Jit Muthuswamy United States
Yilin Song relative to Weihua Pei China Weihua Pei's profile →
Citations per field
00.5×1.5×
Weihua Pei · 1×
Citations per year

Countries citing papers authored by Yilin Song

Since Specialization
Citations

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

Fields of papers citing papers by Yilin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yilin Song. A scholar is included among the top collaborators of Yilin 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 Yilin Song. Yilin 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
#WorkIndexed citations
1 0
2 0
3 2
4 20
5 7
6 18
7 2
8 4
9 11
10 13
11 9
12 3
13 40
14 5
15 11
16 20
17 2
18 32
19 7
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About Yilin Song

Yilin Song is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Cognitive Neuroscience, having authored 110 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (71 papers), Neural dynamics and brain function (34 papers) and EEG and Brain-Computer Interfaces (24 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (694 citations), Electrochemistry (233 citations) and Polymers and Plastics (251 citations). Yilin Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xinxia Cai, Shengwei Xu, Mixia Wang, Guihua Xiao, Jingyu Xie, Jinping Luo, Yuchuan Dai, Fei Gao, Enhui He and Li Wang. Their work appears in journals such as Advanced Materials, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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