Xuedong Huang

91 papers receiving 3.6k citations

Hit Papers

Spoken Language Processing: A Guide to Theory, Algorithm,...200120262009201720012505007501000

Peers

Xuedong Huang
Comparison fields: 5 of 125
  • Artificial Intelligence 3.3k
  • Signal Processing 2.3k
  • Computer Vision and Pattern Recognition 712
  • Experimental and Cognitive Psychology 242
  • Cognitive Neuroscience 168
Replace Nelson Morgan with:
Nelson Morgan United States
Sadaoki Furui Japan
B.-H. Juang United States
Jinyu Li United States
Hervé Bourlard Switzerland
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Zhen-Hua Ling China
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Citations per field
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Citations per year

Countries citing papers authored by Xuedong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xuedong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuedong Huang. 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 Xuedong Huang. The network helps show where Xuedong Huang may publish in the future.

Co-authorship network of co-authors of Xuedong Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuedong Huang. A scholar is included among the top collaborators of Xuedong Huang 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 Xuedong Huang. Xuedong Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 19
3 20
4 74
5
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
14
6 8
7
End-to-End Abstractive Summarization for Meetings.
7
8
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.
23
9
Boosting Factual Correctness of Abstractive Summarization
4
10 71
11
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
8
12 0
13 146
14 1
15
An Overview of Modern Speech Recognition.
34
16 2
17
Forum: Author Response to 'For Voice Interfaces, Hold the SALT'
1
18 35
19 5
20 1

About Xuedong Huang

Xuedong Huang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 4.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (52 papers) and Music and Audio Processing (34 papers). The work is most often cited by research in Signal Processing (2.3k citations), Artificial Intelligence (3.3k citations) and Computer Vision and Pattern Recognition (712 citations). Xuedong Huang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alex Acero, Hsiao-Wuen Hon, Raj Reddy, Yasuo Ariki, Mervyn Jack, Li Deng, F. Alleva, Mei-Yuh Hwang, Minjoo Hwang and Roni Rosenfeld. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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