Ning Chu
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Mechanics of Materials top 5%
- Cavitation Phenomena in Pumps
Papers in
-
- Cavitation Phenomena in Pumps 9
- Ultrasonics and Acoustic Wave Propagation 7
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- Aerodynamics and Acoustics in Jet Flows 12
- Co-authors
- Dazhuan Wu (26 shared papers)Dmitriy Likhachev (4 shared papers)Bangxiang Che (4 shared papers)Ali Mohammad‐Djafari (18 shared papers)Linlin Cao (7 shared papers)Jingting Liu (7 shared papers)José Picheral (4 shared papers)Yue Ning (10 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (7 papers)IEEE Sensors Journal (5 papers)Applied Acoustics (4 papers)Measurement (4 papers)IEEE Signal Processing Letters (4 papers)
- Partner nations
- ChinaFranceSwitzerland
In The Last Decade
Ning Chu
61 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 68
- Signal Processing 204
- Mechanics of Materials 398
- Computational Mechanics 296
- Aerospace Engineering 293
- Oceanography 106
Countries citing papers authored by Ning Chu
This map shows the geographic impact of Ning Chu'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 Ning Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Chu more than expected).
Fields of papers citing papers by Ning Chu
This network shows the impact of papers produced by Ning Chu. 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 Ning Chu. The network helps show where Ning Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Chu, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2019 | 68 | |
| 3 | 2013 | 57 | |
| 4 | 2016 | 56 | |
| 5 | 2018 | 52 | |
| 6 | 2017 | 51 | |
| 7 | 2018 | 42 | |
| 8 | 2021 | 41 | |
| 9 | 2013 | 39 | |
| 10 | 2018 | 37 | |
| 11 | 2019 | 35 | |
| 12 | 2020 | 33 | |
| 13 | 2018 | 33 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 27 | |
| 17 | 2017 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2019 | 19 | |
| 20 | 2021 | 19 |
About Ning Chu
Ning Chu is a scholar working on Mechanics of Materials, Aerospace Engineering, Signal Processing, Biomedical Engineering and Oceanography, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Aerodynamics and Acoustics in Jet Flows (12 papers), Underwater Acoustics Research (12 papers), Cavitation Phenomena in Pumps (9 papers), Structural Health Monitoring Techniques (8 papers), Hydraulic and Pneumatic Systems (7 papers), Acoustic Wave Phenomena Research (7 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). The work is most often cited by research in Signal Processing (204 citations), Mechanics of Materials (398 citations), Computational Mechanics (296 citations), Aerospace Engineering (293 citations) and Oceanography (106 citations). Ning Chu has collaborated with scholars based in China, France and Switzerland. Frequent co-authors include Dazhuan Wu, Dmitriy Likhachev, Bangxiang Che, Ali Mohammad‐Djafari, Linlin Cao, Jingting Liu, José Picheral, Yue Ning, Peng Wu and Steffen J. Schmidt. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Applied Acoustics, Measurement and IEEE Signal Processing Letters.
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.