Mei-Yuh Hwang

88 total papers · 2.4k total citations
68 papers, 1.5k citations indexed

About

Mei-Yuh Hwang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mei-Yuh Hwang has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 37 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mei-Yuh Hwang's work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (32 papers) and Natural Language Processing Techniques (30 papers). Mei-Yuh Hwang is often cited by papers focused on Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (32 papers) and Natural Language Processing Techniques (30 papers). Mei-Yuh Hwang collaborates with scholars based in United States, China and United Kingdom. Mei-Yuh Hwang's co-authors include Xuedong Huang, Hsiao-Wuen Hon, F. Alleva, Kai-Fu Lee, Yangyang Shi, Roni Rosenfeld, Mari Ostendorf, Kaisheng Yao, Xin Lei and Dong Yu and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters and Drug Safety.

In The Last Decade

Mei-Yuh Hwang

68 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Mei-Yuh Hwang 1.3k 727 220 77 39 68 1.5k
Xin Lei 1.2k 0.9× 928 1.3× 227 1.0× 64 0.8× 19 0.5× 61 1.6k
Shang-Wen Li 1.2k 0.9× 570 0.8× 237 1.1× 135 1.8× 55 1.4× 69 1.7k
Vaibhava Goel 832 0.6× 628 0.9× 221 1.0× 48 0.6× 23 0.6× 79 1.3k
David S. Pallett 1.1k 0.8× 798 1.1× 211 1.0× 114 1.5× 96 2.5× 34 1.6k
Shuo-Yiin Chang 915 0.7× 774 1.1× 181 0.8× 31 0.4× 25 0.6× 35 1.3k
William M. Fisher 1.1k 0.8× 728 1.0× 172 0.8× 122 1.6× 41 1.1× 41 1.6k
Xiaodong Cui 1.2k 0.9× 824 1.1× 238 1.1× 125 1.6× 45 1.2× 92 1.6k
Zhengyang Chen 1.1k 0.8× 880 1.2× 144 0.7× 131 1.7× 13 0.3× 50 1.3k
Kanishka Rao 1.5k 1.2× 962 1.3× 275 1.3× 86 1.1× 31 0.8× 53 1.8k
Oliver Watts 1.1k 0.8× 722 1.0× 150 0.7× 184 2.4× 29 0.7× 64 1.4k

Countries citing papers authored by Mei-Yuh Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Yuh Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Yuh Hwang. 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 Mei-Yuh Hwang. The network helps show where Mei-Yuh Hwang may publish in the future.

Co-authorship network of co-authors of Mei-Yuh Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Yuh Hwang. A scholar is included among the top collaborators of Mei-Yuh Hwang 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 Mei-Yuh Hwang. Mei-Yuh Hwang 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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2026