Mou Wang
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
-
- Speech and Audio Processing 19
- Music and Audio Processing 12
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- Speech Recognition and Synthesis 11
- Co-authors
- Susanto Rahardja (15 shared papers)Min Zhao (3 shared papers)Jie Chen (3 shared papers)Nansha Gao (6 shared papers)Baozhu Cheng (4 shared papers)Mengping Zhang (4 shared papers)Hong Hou (3 shared papers)Chuan Wang (3 shared papers)
- Journals
- Applied Acoustics (6 papers)IEEE Transactions on Cognitive and Developmental Systems (2 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Chemical Science (2 papers)Advances in Climate Change Research (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Mou Wang
56 papers receiving 984 citations
Mou Wang's Hit Papers
Peers
Comparison fields: 5 of 133
- Media Technology 157
- Signal Processing 95
- Speech and Hearing 51
- Computational Mathematics 4
- Biomaterials 79
Countries citing papers authored by Mou Wang
This map shows the geographic impact of Mou Wang'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 Mou Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mou Wang more than expected).
Fields of papers citing papers by Mou Wang
This network shows the impact of papers produced by Mou Wang. 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 Mou Wang. The network helps show where Mou Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mou Wang, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2018 | 70 | |
| 3 | 2022 | 61 | |
| 4 | 2021 | 58 | |
| 5 | 2023 | 56 | |
| 6 | 2019 | 46 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 42 | |
| 9 | 2021 | 35 | |
| 10 | 2022 | 32 | |
| 11 | 2020 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2014 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2019 | 17 | |
| 20 | 2022 | 16 |
About Mou Wang
Mou Wang is a scholar working on Signal Processing, Artificial Intelligence, Biomedical Engineering, Oceanography and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Music and Audio Processing (12 papers), Speech Recognition and Synthesis (11 papers), Acoustic Wave Phenomena Research (7 papers), Noise Effects and Management (4 papers), Underwater Acoustics Research (4 papers), Geological and Geochemical Analysis (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in Media Technology (157 citations), Signal Processing (95 citations), Speech and Hearing (51 citations), Computational Mathematics (4 citations) and Biomaterials (79 citations). Mou Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Susanto Rahardja, Min Zhao, Jie Chen, Nansha Gao, Baozhu Cheng, Mengping Zhang, Hong Hou, Chuan Wang, Zhirong Zhang and Qian Wang. Their work appears in journals such as Applied Acoustics, IEEE Transactions on Cognitive and Developmental Systems, IEEE Geoscience and Remote Sensing Letters, Chemical Science and Advances in Climate Change 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.