Mei-Yuh Hwang

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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mei-Yuh Hwang United States	20	1.3k	728	221	77	39	68	1.5k
Shang-Wen Li United States	18	1.2k 0.9×	582 0.8×	239 1.1×	138 1.8×	56 1.4×	70	1.8k
Shigeki Karita Japan	13	1.5k 1.2×	1.1k 1.5×	116 0.5×	72 0.9×	18 0.5×	26	1.8k
Boris Ginsburg United States	13	678 0.5×	391 0.5×	154 0.7×	36 0.5×	16 0.4×	68	972
Ignacio López Moreno United States	16	2.2k 1.7×	1.9k 2.7×	188 0.9×	61 0.8×	32 0.8×	56	2.5k
Oliver Watts United Kingdom	16	1.1k 0.8×	722 1.0×	151 0.7×	184 2.4×	29 0.7×	64	1.4k
Murat Saraçlar Türkiye	26	2.1k 1.6×	783 1.1×	187 0.8×	121 1.6×	100 2.6×	134	2.4k
Korbinian Riedhammer Germany	13	656 0.5×	338 0.5×	116 0.5×	100 1.3×	49 1.3×	54	920
Hirofumi Inaguma Japan	15	913 0.7×	519 0.7×	81 0.4×	41 0.5×	21 0.5×	35	1.0k
Kai-Fu Lee United States	17	1.2k 0.9×	712 1.0×	194 0.9×	101 1.3×	33 0.8×	33	1.4k
C. Wellekens France	12	842 0.6×	742 1.0×	180 0.8×	96 1.2×	12 0.3×	53	1.1k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Jiajun, et al.. (2019). Incremental Learning from Scratch for Task-Oriented Dialogue Systems. 3710–3720. 14 indexed citations

2.

Zhang, Jiajun, et al.. (2018). A Teacher-Student Framework for Maintainable Dialog Manager. 3803–3812. 4 indexed citations

3.

Shi, Yangyang, Yicheng Pan, Mei-Yuh Hwang, et al.. (2015). A factorization network based method for multi-lingual domain classification. 12. 5276–5280. 1 indexed citations

4.

Yao, Kaisheng, Geoffrey Zweig, Mei-Yuh Hwang, Yangyang Shi, & Dong Yu. (2013). Recurrent neural networks for language understanding. 2524–2528. 195 indexed citations

5.

Wuebker, Joern, Mei-Yuh Hwang, & Chris Quirk. (2012). Leave-One-Out Phrase Model Training for Large-Scale Deployment. RWTH Publications (RWTH Aachen). 460–467. 5 indexed citations

6.

He, Xiaodong, Amittai Axelrod, Li Deng, et al.. (2011). The MSR SYSTEM for IWSLT 2011 evaluation.. IWSLT. 57–61. 3 indexed citations

7.

Li, Chi-Ho, Nan Duan, Shujie Liu, et al.. (2010). The MSRA machine translation system for IWSLT 2010.. IWSLT. 135–138. 4 indexed citations

8.

Hwang, Mei-Yuh, et al.. (2010). Large-Scale Thai Statistical Machine Translation. 2 indexed citations

9.

Hwang, Mei-Yuh, et al.. (2008). ADR Frequency and Signal Informations Related with Sildenafil in South Korea. Drug Safety. 31(10). 885–960. 1 indexed citations

10.

Hillard, Dustin, Mei-Yuh Hwang, Mary P. Harper, & Mari Ostendorf. (2008). Parsing-based objective functions for speech recognition in translation applications. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2. 5109–5112. 1 indexed citations

11.

Peng, Gang, Mei-Yuh Hwang, & Mari Ostendorf. (2007). Automatic acoustic segmentation for speech recognition on broadcast recordings. 2977–2980. 4 indexed citations

12.

Hwang, Mei-Yuh, et al.. (2007). Building a highly accurate Mandarin speech recognizer. 490–495. 19 indexed citations

13.

Hwang, Mei-Yuh, et al.. (2006). Porting Decipher from English to Mandarin. 6 indexed citations

14.

Acero, Alex, et al.. (2002). Microsoft Windows highly intelligent speech recognizer: Whisper. 1. 93–96. 24 indexed citations

15.

Hwang, Mei-Yuh & Xuedong Huang. (2002). Dynamically configurable acoustic models for speech recognition. 2. 669–672. 8 indexed citations

16.

Huang, Xuedong, F. Alleva, Mei-Yuh Hwang, & Roni Rosenfeld. (1993). An overview of the SPHINX-II speech recognition system. 81–81. 33 indexed citations

17.

Huang, Xuedong, F. Alleva, Hsiao-Wuen Hon, et al.. (1993). The SPHINX-II speech recognition system: an overview. Computer Speech & Language. 7(2). 137–148. 268 indexed citations

18.

Lee, Kai-Fu, Hsiao-Wuen Hon, Mei-Yuh Hwang, & Sanjoy Mahajan. (1990). Recent progress and future outlook of the SPHINX speech recognition system. Computer Speech & Language. 4(1). 57–69. 6 indexed citations

19.

Hwang, Mei-Yuh, Hsiao-Wuen Hon, & Kai-Fu Lee. (1989). Interword coarticulation modeling for continuous speech recognition. The Journal of the Acoustical Society of America. 85(S1). S124–S124. 10 indexed citations

20.

Hwang, Mei-Yuh, David E. Laughlin, & I. M. Bernstein. (1980). Interphase interfaces of AuAg and AuPd. Acta Metallurgica. 28(5). 621–632. 27 indexed citations

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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