Chih-Wei Wu
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
- Video Surveillance and Tracking Methods
Papers in
-
- Music and Audio Processing 22
- Speech and Audio Processing 14
- Music 4
- Co-authors
- Alexander LerchE. C. DouglasC.W. MuellerR. W. KlopfensteinGwo-Ching GongC. W. MageeShao‐Yi ChienShih‐Hao Huang
- Journals
- Applied Physics Letters (4 papers)IEEE Transactions on Electron Devices (3 papers)Journal of The Electrochemical Society (3 papers)Journal of the Operational Research Society (2 papers)Biomicrofluidics (2 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Chih-Wei Wu
60 papers receiving 530 citations
Peers
Comparison fields: 5 of 95
- Signal Processing 108
- Computer Vision and Pattern Recognition 137
- Music 20
- Electrical and Electronic Engineering 219
- Bioengineering 21
Countries citing papers authored by Chih-Wei Wu
This map shows the geographic impact of Chih-Wei 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 Chih-Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Wei Wu more than expected).
Fields of papers citing papers by Chih-Wei Wu
This network shows the impact of papers produced by Chih-Wei 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 Chih-Wei Wu. The network helps show where Chih-Wei Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih-Wei 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 | 2023 | 1 | |
| 2 | 2021 | 1 | |
| 3 | Supervised Joint Domain Learning for Vehicle Re-Identification | 2019 | 9 |
| 4 | 2018 | 26 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 2 | |
| 9 | 2016 | 7 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 3 | |
| 12 | 2013 | 19 | |
| 13 | 2013 | 0 | |
| 14 | 2011 | 40 | |
| 15 | 2010 | 2 | |
| 16 | 2007 | 1 | |
| 17 | 1984 | 21 | |
| 18 | 1981 | 3 | |
| 19 | 1979 | 15 | |
| 20 | 1975 | 34 |
About Chih-Wei Wu
Chih-Wei Wu is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Bioengineering and Electrical and Electronic Engineering, having authored 64 papers that have together received 556 indexed citations. Recurring topics across this work include Music and Audio Processing (22 papers), Speech and Audio Processing (14 papers), Music Technology and Sound Studies (13 papers), Silicon and Solar Cell Technologies (9 papers), Semiconductor materials and devices (7 papers), Video Surveillance and Tracking Methods (5 papers), Analytical Chemistry and Sensors (5 papers) and Semiconductor materials and interfaces (5 papers). The work is most often cited by research in Signal Processing (108 citations), Computer Vision and Pattern Recognition (137 citations), Music (20 citations), Electrical and Electronic Engineering (219 citations) and Bioengineering (21 citations). Chih-Wei Wu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Alexander Lerch, E. C. Douglas, C.W. Mueller, R. W. Klopfenstein, Gwo-Ching Gong, C. W. Magee, Shao‐Yi Chien, Shih‐Hao Huang, Chih‐Ting Liu and Chang‐Jer Wu. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Electron Devices, Journal of The Electrochemical Society, Journal of the Operational Research Society and Biomicrofluidics.
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.