Yu Shiu
Impact in
- Developmental Biology top 1%
- Animal Vocal Communication and Behavior
- Ecology top 5%
- Marine animal studies overview
- Wildlife Ecology and Conservation
Papers in
-
- Music and Audio Processing 12
- Speech and Audio Processing 12
- Blind Source Separation Techniques 4
- Ecology 14
- Marine animal studies overview 14
- Co-authors
- Sara Keen (4 shared papers)Peter H. Wrege (3 shared papers)Douglas Gillespie (7 shared papers)Erica Fleishman (8 shared papers)Marie A. Roch (8 shared papers)Eva‐Marie Nosal (8 shared papers)Holger Klinck (8 shared papers)Tyler A. Helble (7 shared papers)
- Journals
- The Journal of the Acoustical Society of America (5 papers)Scientific Reports (2 papers)IEEE Transactions on Multimedia (1 paper)Animal Behaviour (1 paper)Methods in Ecology and Evolution (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Yu Shiu
29 papers receiving 526 citations
Peers
Comparison fields: 5 of 64
- Developmental Biology 292
- Ecology 343
- Oceanography 162
- Signal Processing 126
- Ecological Modeling 32
Countries citing papers authored by Yu Shiu
This map shows the geographic impact of Yu Shiu'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 Shiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shiu more than expected).
Fields of papers citing papers by Yu Shiu
This network shows the impact of papers produced by Yu Shiu. 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 Shiu. The network helps show where Yu Shiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Shiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 146 | |
| 2 | 2017 | 138 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 31 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2002 | 17 | |
| 9 | 2006 | 14 | |
| 10 | 2013 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2006 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2008 | 8 | |
| 15 | 2005 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2007 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2008 | 3 |
About Yu Shiu
Yu Shiu is a scholar working on Signal Processing, Ecology, Developmental Biology, Computer Vision and Pattern Recognition and Oceanography, having authored 31 papers that have together received 541 indexed citations. Recurring topics across this work include Marine animal studies overview (14 papers), Music and Audio Processing (12 papers), Speech and Audio Processing (12 papers), Animal Vocal Communication and Behavior (10 papers), Underwater Acoustics Research (8 papers), Music Technology and Sound Studies (6 papers), Blind Source Separation Techniques (4 papers) and Arctic and Antarctic ice dynamics (2 papers). The work is most often cited by research in Developmental Biology (292 citations), Ecology (343 citations), Oceanography (162 citations), Signal Processing (126 citations) and Ecological Modeling (32 citations). Yu Shiu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sara Keen, Peter H. Wrege, Douglas Gillespie, Erica Fleishman, Marie A. Roch, Eva‐Marie Nosal, Holger Klinck, Tyler A. Helble, Danielle Cholewiak and Xiaobai Liu. Their work appears in journals such as The Journal of the Acoustical Society of America, Scientific Reports, IEEE Transactions on Multimedia, Animal Behaviour and Methods in Ecology and Evolution.
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.