Yu-Hsiang Wu
- Speech and Hearing top 0.2%
- Noise Effects and Management 53
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics 9
- Cognitive Neuroscience top 2%
- Hearing Loss and Rehabilitation 60
- Neuroscience and Music Perception 11
- Signal Processing top 2%
- Speech and Audio Processing 25
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- Multisensory perception and integration 2
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- Hearing Impairment and Communication 3
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- Spectroscopy and Chemometric Analyses 2
- Co-authors
- Ruth A. BentlerElizabeth StanglOctav ChiparaJacob OlesonSyed Shabih HasanXuyang ZhangRichard R. HurtigJoanna L. Perkins
- Journals
- Ear and Hearing (14 papers)Journal of the American Academy of Audiology (12 papers)International Journal of Audiology (10 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Yu-Hsiang Wu
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Speech and Hearing 859
- Sensory Systems 270
- Cognitive Neuroscience 1.1k
- Signal Processing 357
- Experimental and Cognitive Psychology 111
Countries citing papers authored by Yu-Hsiang Wu
This map shows the geographic impact of Yu-Hsiang Wu'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 Yu-Hsiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Hsiang Wu more than expected).
Fields of papers citing papers by Yu-Hsiang Wu
This network shows the impact of papers produced by Yu-Hsiang Wu. 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 Yu-Hsiang Wu. The network helps show where Yu-Hsiang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu-Hsiang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 28 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 38 | |
| 11 | 2016 | 86 | |
| 12 | 2015 | 10 | |
| 13 | 2013 | 29 | |
| 14 | 2013 | 13 | |
| 15 | 2011 | 7 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 25 | |
| 18 | 2009 | 21 | |
| 19 | 2009 | 27 | |
| 20 | 2007 | 8 |
About Yu-Hsiang Wu
Yu-Hsiang Wu is a scholar working on Speech and Hearing, Cognitive Neuroscience and Signal Processing, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (60 papers), Noise Effects and Management (53 papers), Speech and Audio Processing (25 papers), Neuroscience and Music Perception (11 papers), Hearing, Cochlea, Tinnitus, Genetics (9 papers), Hearing Impairment and Communication (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Speech and Hearing (859 citations), Sensory Systems (270 citations) and Cognitive Neuroscience (1.1k citations). Yu-Hsiang Wu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Ruth A. Bentler, Elizabeth Stangl, Octav Chipara, Jacob Oleson, Syed Shabih Hasan, Xuyang Zhang, Richard R. Hurtig, Joanna L. Perkins, Nazan Aksan and Carolyn Brown. Their work appears in journals such as Ear and Hearing, Journal of the American Academy of Audiology, International Journal of Audiology, American Journal of Audiology and Journal of Speech Language and Hearing Research.
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.