Yale Song

101 total papers · 4.8k total citations
21 papers, 419 citations indexed

About

Yale Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yale Song has authored 21 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Yale Song’s work include Human Pose and Action Recognition (9 papers), Multimodal Machine Learning Applications (8 papers) and Music and Audio Processing (5 papers). Yale Song is often cited by papers focused on Human Pose and Action Recognition (9 papers), Multimodal Machine Learning Applications (8 papers) and Music and Audio Processing (5 papers). Yale Song collaborates with scholars based in United States, United Kingdom and South Korea. Yale Song's co-authors include Randall Davis, David Demirdjian, Zhen Wen, Nan Cao, Jian Zhao, Yu‐Ru Lin, Christopher Collins, Louis–Philippe Morency, Daniel McDuff and Shuang Ma and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Interactive Intelligent Systems.

Co-authorship network of co-authors of Yale Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yale Song. A scholar is included among the top collaborators of Yale 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 Yale Song. Yale Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Yale Song

20 papers receiving 402 citations

Fields of papers citing papers by Yale Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yale Song

Since Specialization
Citations

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