Y. X. Song

12.3k total citations
64 papers, 404 citations indexed

About

Y. X. Song is a scholar working on Biomedical Engineering, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Y. X. Song has authored 64 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 9 papers in Molecular Biology and 9 papers in Mechanical Engineering. Recurrent topics in Y. X. Song's work include Non-Invasive Vital Sign Monitoring (6 papers), ECG Monitoring and Analysis (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Y. X. Song is often cited by papers focused on Non-Invasive Vital Sign Monitoring (6 papers), ECG Monitoring and Analysis (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Y. X. Song collaborates with scholars based in China, South Korea and United Kingdom. Y. X. Song's co-authors include Seunghwan Kim, Doheon Lee, Kwang H. Lee, Weina Zhang, Huiping Qi, Chi Ma, Guoping Ren, Xiaoyan Liu, Xueying Mao and Daniel M. Berney and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and The Plant Journal.

In The Last Decade

Y. X. Song

48 papers receiving 391 citations

Peers

Y. X. Song
Comparison fields: 5 of 116
  • Molecular Biology 89
  • Plant Science 72
  • Biomedical Engineering 61
  • Pulmonary and Respiratory Medicine 41
  • Mechanical Engineering 38
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Citations per field, relative to Y. X. Song
Y. X. Song · 1×
Citations per year, relative to Y. X. Song
Y. X. Song · 1×

Countries citing papers authored by Y. X. Song

Since Specialization
Citations

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

Fields of papers citing papers by Y. X. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. X. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Y. X. Song. A scholar is included among the top collaborators of Y. X. 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 Y. X. Song. Y. X. 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 0
4 2
5 0
6 0
7 1
8 0
9 5
10 5
11 0
12 0
13 18
14 4
15 6
16 7
17 3
18 52
19
Evolutionary programming using the Levy probability distribution
6
20
Optimization of a Network with Gaussian Kernel Functions Based on Genetic Algorithm.
1

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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