Yang Song

117 papers and 999 indexed citations i.

About

Yang Song is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Yang Song has authored 117 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 17 papers in Atomic and Molecular Physics, and Optics and 17 papers in Media Technology. Recurrent topics in Yang Song’s work include Image and Video Quality Assessment (25 papers), Image Enhancement Techniques (22 papers) and Advanced Image Processing Techniques (15 papers). Yang Song is often cited by papers focused on Image and Video Quality Assessment (25 papers), Image Enhancement Techniques (22 papers) and Advanced Image Processing Techniques (15 papers). Yang Song collaborates with scholars based in China, Japan and United States. Yang Song's co-authors include Anzhi He, Haiyong Xu, Gangyi Jiang, Jia Wang, Mei Yu, Ting Luo, Takeshi Ikenaga, Satoshi Goto, Zhenhua Li and Zhenyu Liu and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Yang Song i

Fields of papers citing papers by Yang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Song

Since Specialization
Citations

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

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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