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 Recognition and Synthesis 52
- Natural Language Processing Techniques 16
- Topic Modeling 8
- Text and Document Classification Technologies 4
-
- Speech and Audio Processing 46
- Music and Audio Processing 33
- Co-authors
- Li-Rong Dai (28 shared papers)Yan Song (10 shared papers)Ian McLoughlin (4 shared papers)Pengcheng Li (1 shared paper)Honghui Lin (3 shared papers)Lijuan Chen (2 shared papers)Dehui Xi (2 shared papers)Lianwu Chen (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Planta (1 paper)Archaeological Research in Asia (1 paper)Twentieth-Century China (1 paper)Vegetation History and Archaeobotany (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wu Guo
70 papers receiving 501 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 293
- Artificial Intelligence 287
- Experimental and Cognitive Psychology 108
- Paleontology 21
- Geography, Planning and Development 14
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2017 | 33 | |
| 3 | 2018 | 33 | |
| 4 | 2010 | 29 | |
| 5 | 2017 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2024 | 6 |
About Wu Guo
Wu Guo is a scholar working on Artificial Intelligence, Signal Processing, Sociology and Political Science, Computer Vision and Pattern Recognition and Plant Science, having authored 80 papers that have together received 526 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (52 papers), Speech and Audio Processing (46 papers), Music and Audio Processing (33 papers), Natural Language Processing Techniques (16 papers), Topic Modeling (8 papers), Chinese history and philosophy (6 papers), Vietnamese History and Culture Studies (5 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Signal Processing (293 citations), Artificial Intelligence (287 citations), Experimental and Cognitive Psychology (108 citations), Paleontology (21 citations) and Geography, Planning and Development (14 citations). Wu Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Li-Rong Dai, Yan Song, Ian McLoughlin, Pengcheng Li, Honghui Lin, Lijuan Chen, Dehui Xi, Lianwu Chen, Bin Gu and Kong Aik Lee. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Planta, Archaeological Research in Asia, Twentieth-Century China and Vegetation History and Archaeobotany.
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.