Oh‐Wook Kwon

1.1k citations
41 papers · 808 · h-index 11

Impact in

Papers in

    • Speech Recognition and Synthesis 24
    • Speech and dialogue systems 6
    • Natural Language Processing Techniques 4
    • Speech and Audio Processing 28
    • Music and Audio Processing 13
    • Blind Source Separation Techniques 9

Oh‐Wook Kwon

37 papers receiving 727 citations

Peers

Oh‐Wook Kwon
Comparison fields: 5 of 66
  • Signal Processing 463
  • Experimental and Cognitive Psychology 387
  • Pharmacy 68
  • Artificial Intelligence 413
  • Computer Vision and Pattern Recognition 174
Replace Raymond Brueckner with:
Raymond Brueckner Germany
Eva Navas Spain
Zheng-Wei Huang China
Antonio Bonafonte Spain
Masato Akagi Japan
Namunu C. Maddage Australia
Sahar E. Bou-Ghazale United States
Jiucang Hao United States
Kunxia Wang China
Seiichi Nakagawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Oh‐Wook Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Oh‐Wook Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oh‐Wook Kwon. 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 Oh‐Wook Kwon. The network helps show where Oh‐Wook Kwon may publish in the future.

Co-authors

The 16 scholars most cited alongside Oh‐Wook Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oh‐Wook Kwon Line = papers co-authored together Oh‐Wook Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EMOTION RECOGNITION BY SPEECH SIGNAL
2003241
2 2003235
3 200363
4 200459
5 201919
6 201113
7 200313
8 199211
9 200211
10 202011
11 201210
12 200310
13 20109
14 20099
15 20209
16 19998
17 19968
18 20037
19 20027
20 20176

About Oh‐Wook Kwon

Oh‐Wook Kwon is a scholar working on Artificial Intelligence, Signal Processing, Computational Mechanics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 808 indexed citations. Recurring topics across this work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (24 papers), Music and Audio Processing (13 papers), Blind Source Separation Techniques (9 papers), Speech and dialogue systems (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Natural Language Processing Techniques (4 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Signal Processing (463 citations), Experimental and Cognitive Psychology (387 citations), Pharmacy (68 citations), Artificial Intelligence (413 citations) and Computer Vision and Pattern Recognition (174 citations). Oh‐Wook Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kai-Hsuan Chan, Jie Hao, Kwokleung Chan, Te-Won Lee, Jiucang Hao, Te-Won Lee, C.K. Un, Te‐Won Lee, Sanghun Kim and Jun Jo. Their work appears in journals such as Applied Sciences, IEEE Transactions on Consumer Electronics, Speech Communication, Signal Processing and IEEE Signal Processing Letters.

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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