Hsiao-Wuen Hon

62 papers receiving 3.3k citations

Hit Papers

Spoken Language Processing: A Guide to Theory, Algorithm,...19892026200120132001198920062505007501000

Peers

Hsiao-Wuen Hon
Comparison fields: 5 of 113
  • Artificial Intelligence 2.9k
  • Signal Processing 2.0k
  • Computer Vision and Pattern Recognition 635
  • Information Systems 557
  • Experimental and Cognitive Psychology 242
Replace George R. Doddington with:
George R. Doddington United States
Mark A. Przybocki United States
Nelson Morgan United States
Ron J. Weiss United States
Renato De Mori Canada
Dawen Liang United States
Zheng‐Hua Tan Denmark
Kai Yu China
Xuedong Huang United States
Florian Metze United States
Hsiao-Wuen Hon relative to George R. Doddington United States George R. Doddington's profile →
Citations per field
00.5×1.5×
George R. Doddington · 1×
Citations per year

Countries citing papers authored by Hsiao-Wuen Hon

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Wuen Hon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Wuen Hon. 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 Hsiao-Wuen Hon. The network helps show where Hsiao-Wuen Hon may publish in the future.

Co-authorship network of co-authors of Hsiao-Wuen Hon

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao-Wuen Hon. A scholar is included among the top collaborators of Hsiao-Wuen Hon 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 Hsiao-Wuen Hon. Hsiao-Wuen Hon 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 1
2 0
3 0
4 0
5 23
6
Constructing a Test Collection with Multi-Intent Queries.
3
7 20
8 3
9
Proceedings of the 17th international conference on World Wide Web
14
10 47
11 5
12 24
13 33
14 37
15 35
16 35
17 12
18 4
19 6
20 17

About Hsiao-Wuen Hon

Hsiao-Wuen Hon is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 65 papers that have together received 3.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (40 papers), Speech and Audio Processing (26 papers) and Music and Audio Processing (24 papers). The work is most often cited by research in Signal Processing (2.0k citations), Artificial Intelligence (2.9k citations) and Computer Vision and Pattern Recognition (635 citations). Hsiao-Wuen Hon has collaborated with scholars based in United States, China and Canada. Frequent co-authors include K.-F. Lee, Xuedong Huang, Alex Acero, Raj Reddy, R. Reddy, Kai-Fu Lee, Mei-Yuh Hwang, Yunbo Cao, Jun Xu and Yalou Huang. Their work appears in journals such as The Journal of the Acoustical Society of America, Information Processing & Management and ACM Transactions on Information Systems.

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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