Diana Young

36 total papers · 1.5k total citations
28 papers, 1.1k citations indexed

About

Diana Young is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Diana Young has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Cognitive Neuroscience and 12 papers in Signal Processing. Recurrent topics in Diana Young's work include Music Technology and Sound Studies (12 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (8 papers). Diana Young is often cited by papers focused on Music Technology and Sound Studies (12 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (8 papers). Diana Young collaborates with scholars based in United States, Canada and Switzerland. Diana Young's co-authors include Eugene C. Goldfield, Robert J. Wood, Radhika Nagpal, Yong‐Lae Park, Leia Stirling, Bor‐Rong Chen, Néstor O. Pérez-Arancibia, Peter C. Neligan, Danny Ghazarian and Karen H. Lu and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Clinical Chemistry.

In The Last Decade

Diana Young

27 papers receiving 1.0k citations

Hit Papers

Design and control of a b... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diana Young 514 163 143 129 116 28 1.1k
Raúl Benítez 299 0.6× 33 0.2× 291 2.0× 33 0.3× 351 3.0× 69 1.2k
Wenjun Li 348 0.7× 46 0.3× 84 0.6× 37 0.3× 125 1.1× 75 1.1k
Yasemin M. Akay 420 0.8× 62 0.4× 147 1.0× 113 0.9× 227 2.0× 88 1.3k
Yiming Xiao 163 0.3× 209 1.3× 103 0.7× 22 0.2× 126 1.1× 74 1.1k
Yongjin Zhou 592 1.2× 289 1.8× 135 0.9× 60 0.5× 18 0.2× 87 1.4k
Kai Yu 426 0.8× 31 0.2× 76 0.5× 52 0.4× 107 0.9× 49 987
R. Leuwer 224 0.4× 189 1.2× 123 0.9× 13 0.1× 194 1.7× 65 1.3k
Baek Hwan Cho 175 0.3× 84 0.5× 227 1.6× 35 0.3× 69 0.6× 50 1.1k
Seung-Jae Kim 269 0.5× 17 0.1× 65 0.5× 55 0.4× 316 2.7× 92 1.4k
Michael Gaihede 147 0.3× 12 0.1× 201 1.4× 57 0.4× 117 1.0× 79 984

Countries citing papers authored by Diana Young

Since Specialization
Citations

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

Fields of papers citing papers by Diana Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Young

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

All Works

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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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