Mei-Yuh Hwang
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Information Systems
- Co-authors
- Xuedong HuangHsiao-Wuen HonF. AllevaKai-Fu LeeYangyang ShiRoni RosenfeldMari OstendorfKaisheng Yao
- Topics
- Speech Recognition and Synthesis (51 papers)Speech and Audio Processing (32 papers)Natural Language Processing Techniques (30 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mei-Yuh Hwang
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 1.3k
- Signal Processing 728
- Computer Vision and Pattern Recognition 221
- Experimental and Cognitive Psychology 77
- Information Systems 39
Countries citing papers authored by Mei-Yuh Hwang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 195 | |
| 5 | Leave-One-Out Phrase Model Training for Large-Scale Deployment | 5 |
| 6 | The MSR SYSTEM for IWSLT 2011 evaluation. | 3 |
| 7 | The MSRA machine translation system for IWSLT 2010. | 4 |
| 8 | Large-Scale Thai Statistical Machine Translation | 2 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | Porting Decipher from English to Mandarin | 6 |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 24 | |
| 16 | 33 | |
| 17 | 268 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 27 |
About Mei-Yuh Hwang
Mei-Yuh Hwang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (32 papers) and Natural Language Processing Techniques (30 papers). The work is most often cited by research in Signal Processing (728 citations), Artificial Intelligence (1.3k citations) and Computer Vision and Pattern Recognition (221 citations). Mei-Yuh Hwang has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters and Drug Safety.
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.