Song Yang

1.9k total citations
64 papers, 1.5k citations indexed

About

Song Yang is a scholar working on Statistics and Probability, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Song Yang has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 16 papers in Electrical and Electronic Engineering and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Song Yang's work include Statistical Methods and Inference (29 papers), Statistical Methods in Clinical Trials (17 papers) and Advancements in Battery Materials (15 papers). Song Yang is often cited by papers focused on Statistical Methods and Inference (29 papers), Statistical Methods in Clinical Trials (17 papers) and Advancements in Battery Materials (15 papers). Song Yang collaborates with scholars based in United States, China and Japan. Song Yang's co-authors include Ross L. Prentice, Diane Catellier, Terry L. Conway, Peter J. Hannan, Janet C. Rice, David M. Murray, Cheryl L. Addy, Jing‐Ping Lin, Arno Lingenhel and Florian Kronenberg and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Journal of Power Sources.

In The Last Decade

Song Yang

62 papers receiving 1.4k citations

Peers

Song Yang
Comparison fields: 5 of 123
  • Statistics and Probability 514
  • Public Health, Environmental and Occupational Health 399
  • Physiology 357
  • Molecular Biology 208
  • Pediatrics, Perinatology and Child Health 181
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Citations per field, relative to Song Yang
Song Yang · 1×
Citations per year, relative to Song Yang
Song Yang · 1×

Countries citing papers authored by Song Yang

Since Specialization
Citations

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

Fields of papers citing papers by Song Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yang. A scholar is included among the top collaborators of Song Yang 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 Song Yang. Song Yang 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 3
3 2
4 17
5 1
6 8
7 1
8 5
9 2
10 3
11 1
12 6
13 2
14 8
15 10
16 1
17 5
18 39
19 320
20 12

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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