Wu Guo
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech and Audio Processing 52
- Music and Audio Processing 37
-
- Speech Recognition and Synthesis 60
- Natural Language Processing Techniques 19
- Topic Modeling 11
- Text and Document Classification Technologies 5
- Co-authors
- Li-Rong Dai (29 shared papers)Yan Song (10 shared papers)Ian Vince McLoughlin (4 shared papers)Pengcheng Li (1 shared paper)Honghui Lin (3 shared papers)Bin Gu (12 shared papers)Dehui Xi (2 shared papers)Lijuan Chen (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Twentieth-Century China (1 paper)Algebra and Logic (1 paper)Science (1 paper)Planta (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wu Guo
80 papers receiving 690 citations
Peers
Comparison fields: 5 of 87
- Signal Processing 354
- Artificial Intelligence 351
- Experimental and Cognitive Psychology 113
- Paleontology 52
- Geography, Planning and Development 21
Countries citing papers authored by Wu Guo
This map shows the geographic impact of Wu Guo'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 Wu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Guo more than expected).
Fields of papers citing papers by Wu Guo
This network shows the impact of papers produced by Wu Guo. 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 Wu Guo. The network helps show where Wu Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Guo, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 140 | |
| 2 | 2022 | 76 | |
| 3 | 2017 | 35 | |
| 4 | 2010 | 34 | |
| 5 | 2018 | 34 | |
| 6 | 2021 | 31 | |
| 7 | 2009 | 27 | |
| 8 | 2017 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2016 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2017 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 9 |
About Wu Guo
Wu Guo is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science and Paleontology, having authored 92 papers that have together received 736 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (52 papers), Music and Audio Processing (37 papers), Natural Language Processing Techniques (19 papers), Topic Modeling (11 papers), Chinese history and philosophy (6 papers), Text and Document Classification Technologies (5 papers) and Vietnamese History and Culture Studies (5 papers). The work is most often cited by research in Signal Processing (354 citations), Artificial Intelligence (351 citations), Experimental and Cognitive Psychology (113 citations), Paleontology (52 citations) and Geography, Planning and Development (21 citations). Wu Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Li-Rong Dai, Yan Song, Ian Vince McLoughlin, Pengcheng Li, Honghui Lin, Bin Gu, Dehui Xi, Lijuan Chen, Lianwu Chen and Jun Juan Du. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Twentieth-Century China, Algebra and Logic, Science and Planta.
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.