Ning Fu
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Blind Source Separation Techniques 27
- Direction-of-Arrival Estimation Techniques 17
-
- Sparse and Compressive Sensing Techniques 46
- Co-authors
- Liyan QiaoXiyuan PengGuoxing HuangJingchao ZhangXiaodong LiYue Zhu-fengJunhui QianJie Cao
- Journals
- IEEE Transactions on Instrumentation and Measurement (19 papers)IEEE Transactions on Circuits & Systems II Express Briefs (4 papers)Digital Signal Processing (4 papers)Signal Processing (4 papers)IEEE Signal Processing Letters (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ning Fu
90 papers receiving 457 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 180
- Computational Mechanics 193
- Aerospace Engineering 146
- Computer Vision and Pattern Recognition 104
- Applied Mathematics 33
Countries citing papers authored by Ning Fu
This map shows the geographic impact of Ning Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Fu more than expected).
Fields of papers citing papers by Ning Fu
This network shows the impact of papers produced by Ning Fu. 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 Fu. The network helps show where Ning Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2014 | 6 |
About Ning Fu
Ning Fu is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Aerospace Engineering and Applied Mathematics, having authored 102 papers that have together received 475 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (46 papers), Blind Source Separation Techniques (27 papers), Image and Signal Denoising Methods (23 papers), Direction-of-Arrival Estimation Techniques (17 papers), Radar Systems and Signal Processing (13 papers), Microwave Imaging and Scattering Analysis (9 papers), Mathematical Analysis and Transform Methods (8 papers) and Advanced X-ray Imaging Techniques (6 papers). The work is most often cited by research in Signal Processing (180 citations), Computational Mechanics (193 citations), Aerospace Engineering (146 citations), Computer Vision and Pattern Recognition (104 citations) and Applied Mathematics (33 citations). Ning Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Liyan Qiao, Xiyuan Peng, Guoxing Huang, Jingchao Zhang, Xiaodong Li, Yue Zhu-feng, Junhui Qian, Jie Cao, Le Zheng and Wei Zhang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Circuits & Systems II Express Briefs, Digital Signal Processing, Signal Processing 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.