Ming Wu
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
-
- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
Papers in
-
- Advanced Adaptive Filtering Techniques 50
-
- Acoustic Wave Phenomena Research 46
- Co-authors
- Jun Yang (64 shared papers)Hong Liu (2 shared papers)W. Z. Li (1 shared paper)Xinhe Bao (1 shared paper)Feiran Yang (5 shared papers)Wenzhao Li (2 shared papers)Jianqing Zhang (1 shared paper)Yin Cao (6 shared papers)
- Journals
- The Journal of the Acoustical Society of America (13 papers)Applied Acoustics (11 papers)Applied Sciences (8 papers)Signal Processing (6 papers)Japanese Journal of Applied Physics (4 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Ming Wu
109 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Signal Processing 535
- Renewable Energy, Sustainability and the Environment 491
- Computational Mechanics 579
- Materials Chemistry 618
- Biomedical Engineering 574
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming 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 Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming 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 Ming Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 347 | |
| 2 | 2000 | 196 | |
| 3 | 2004 | 162 | |
| 4 | 2014 | 96 | |
| 5 | 2018 | 81 | |
| 6 | 2014 | 63 | |
| 7 | 2016 | 44 | |
| 8 | 2000 | 42 | |
| 9 | 2015 | 41 | |
| 10 | 2018 | 41 | |
| 11 | 2021 | 35 | |
| 12 | 2016 | 34 | |
| 13 | 2018 | 31 | |
| 14 | 2017 | 29 | |
| 15 | 2023 | 28 | |
| 16 | 2019 | 25 | |
| 17 | 2025 | 24 | |
| 18 | 2012 | 24 | |
| 19 | 2008 | 23 | |
| 20 | 2022 | 22 |
About Ming Wu
Ming Wu is a scholar working on Computational Mechanics, Biomedical Engineering, Signal Processing, Materials Chemistry and Electrical and Electronic Engineering, having authored 116 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (50 papers), Speech and Audio Processing (49 papers), Acoustic Wave Phenomena Research (46 papers), Hearing Loss and Rehabilitation (11 papers), Advanced Polymer Synthesis and Characterization (7 papers), Blind Source Separation Techniques (7 papers), Ship Hydrodynamics and Maneuverability (7 papers) and Advanced Photocatalysis Techniques (5 papers). The work is most often cited by research in Signal Processing (535 citations), Renewable Energy, Sustainability and the Environment (491 citations), Computational Mechanics (579 citations), Materials Chemistry (618 citations) and Biomedical Engineering (574 citations). Ming Wu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Jun Yang, Hong Liu, W. Z. Li, Xinhe Bao, Feiran Yang, Wenzhao Li, Jianqing Zhang, Yin Cao, Shaoan Cheng and Chunan Cao. Their work appears in journals such as The Journal of the Acoustical Society of America, Applied Acoustics, Applied Sciences, Signal Processing and Japanese Journal of Applied Physics.
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.