Su‐Youn Yoon

48 total papers · 727 total citations
39 papers, 463 citations indexed

About

Su‐Youn Yoon is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Su‐Youn Yoon has authored 39 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Su‐Youn Yoon's work include Speech Recognition and Synthesis (18 papers), Speech and dialogue systems (17 papers) and Natural Language Processing Techniques (17 papers). Su‐Youn Yoon is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and dialogue systems (17 papers) and Natural Language Processing Techniques (17 papers). Su‐Youn Yoon collaborates with scholars based in United States. Su‐Youn Yoon's co-authors include Richard Sproat, Klaus Zechner, Chongmin Lee, Suma Bhat, Chee Wee Leong, Keelan Evanini, Anastassia Loukina, Xinhao Wang, Lei Chen and Tao Tao and has published in prestigious journals such as Speech Communication, ETS Research Report Series and Empirical Methods in Natural Language Processing.

In The Last Decade

Su‐Youn Yoon

37 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Su‐Youn Yoon 402 86 67 60 37 39 463
Jian Cheng 256 0.6× 59 0.7× 131 2.0× 70 1.2× 40 1.1× 24 484
Joseph Tepperman 399 1.0× 117 1.4× 156 2.3× 87 1.4× 20 0.5× 26 450
Óscar Saz 309 0.8× 162 1.9× 78 1.2× 43 0.7× 18 0.5× 43 407
Bente Mægaard 425 1.1× 28 0.3× 61 0.9× 28 0.5× 45 1.2× 39 550
Samira Shaikh 317 0.8× 19 0.2× 95 1.4× 26 0.4× 45 1.2× 54 488
Patrick Lange 260 0.6× 40 0.5× 20 0.3× 21 0.3× 19 0.5× 38 437
Sunayana Sitaram 382 1.0× 83 1.0× 34 0.5× 24 0.4× 30 0.8× 56 453
Lazaros Vrysis 146 0.4× 206 2.4× 64 1.0× 30 0.5× 47 1.3× 42 434
Jackson Liscombe 338 0.8× 78 0.9× 224 3.3× 30 0.5× 10 0.3× 35 480
Nadia Mana 173 0.4× 33 0.4× 144 2.1× 34 0.6× 47 1.3× 32 487

Countries citing papers authored by Su‐Youn Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Youn Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Youn Yoon. 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 Su‐Youn Yoon. The network helps show where Su‐Youn Yoon may publish in the future.

Co-authorship network of co-authors of Su‐Youn Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Youn Yoon. A scholar is included among the top collaborators of Su‐Youn Yoon 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 Su‐Youn Yoon. Su‐Youn Yoon 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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