Yu-An Chung

70 total papers · 3.7k total citations
24 papers, 1.7k citations indexed

About

Yu-An Chung is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Yu-An Chung has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 13 papers in Signal Processing and 1 paper in Infectious Diseases. Recurrent topics in Yu-An Chung's work include Speech Recognition and Synthesis (20 papers), Music and Audio Processing (13 papers) and Natural Language Processing Techniques (9 papers). Yu-An Chung is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Music and Audio Processing (13 papers) and Natural Language Processing Techniques (9 papers). Yu-An Chung collaborates with scholars based in United States, Taiwan and South Korea. Yu-An Chung's co-authors include James Glass, Yuan Gong, Hao Tang, Wei-Ning Hsu, Yu Zhang, Cheng-I Lai, Yonghui Wu, Chia-Hao Shen, Hung-yi Lee and Ruoming Pang and has published in prestigious journals such as Osteoarthritis and Cartilage, IEEE Journal of Selected Topics in Signal Processing and Journal of the Formosan Medical Association.

In The Last Decade

Yu-An Chung

23 papers receiving 1.6k citations

Hit Papers

AST: Audio Spectrogram Tr... 2021 2026 2022 2024 2021 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yu-An Chung 1.1k 975 290 97 49 24 1.7k
Daniel Park 1.7k 1.6× 1.5k 1.5× 248 0.9× 133 1.4× 63 1.3× 13 2.4k
Yuan Gong 497 0.4× 544 0.6× 413 1.4× 55 0.6× 44 0.9× 36 1.3k
Shuo-Yiin Chang 915 0.8× 774 0.8× 181 0.6× 31 0.3× 30 0.6× 35 1.3k
Sourish Chaudhuri 514 0.5× 1.1k 1.1× 688 2.4× 153 1.6× 92 1.9× 20 1.6k
Dan Ellis 1.1k 1.0× 1.3k 1.3× 622 2.1× 134 1.4× 45 0.9× 36 2.0k
Qiuqiang Kong 605 0.5× 1.3k 1.4× 704 2.4× 49 0.5× 111 2.3× 62 1.8k
M. R. Sambur 882 0.8× 1.2k 1.2× 355 1.2× 137 1.4× 14 0.3× 36 1.6k
Raj Reddy 1.1k 0.9× 866 0.9× 260 0.9× 137 1.4× 15 0.3× 30 1.6k
Marvin Ritter 624 0.6× 1.3k 1.3× 839 2.9× 97 1.0× 87 1.8× 7 1.9k
PC Woodland 1.7k 1.5× 1.4k 1.4× 372 1.3× 231 2.4× 14 0.3× 36 2.2k

Countries citing papers authored by Yu-An Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yu-An Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-An Chung. 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 Yu-An Chung. The network helps show where Yu-An Chung may publish in the future.

Co-authorship network of co-authors of Yu-An Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-An Chung. A scholar is included among the top collaborators of Yu-An Chung 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 Yu-An Chung. Yu-An Chung 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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