Yanning Shen
Impact in
- Computational Mathematics top 5%
- Signal Processing top 2%
- Blind Source Separation Techniques
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
Papers in
-
- Advanced Graph Neural Networks 20
- Co-authors
- Georgios B. GiannakisJun FangHongbin LiBrian BainganaPu WangRick S. BlumVassilis N. IoannidisShaoqian Li
- Journals
- IEEE Transactions on Signal Processing (11 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Signal and Information Processing over Networks (2 papers)Signal Processing (2 papers)IEEE Signal Processing Letters (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yanning Shen
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Computational Mathematics 35
- Signal Processing 261
- Computational Mechanics 374
- Statistical and Nonlinear Physics 196
- Artificial Intelligence 427
Countries citing papers authored by Yanning Shen
This map shows the geographic impact of Yanning Shen'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 Yanning Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanning Shen more than expected).
Fields of papers citing papers by Yanning Shen
This network shows the impact of papers produced by Yanning Shen. 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 Yanning Shen. The network helps show where Yanning Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanning Shen, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 45 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 16 | |
| 13 | Online Multi-Kernel Learning with Graph-Structured Feedback | 2020 | 3 |
| 14 | Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. | 2020 | 23 |
| 15 | 2019 | 28 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 40 | |
| 18 | 2018 | 121 | |
| 19 | 2018 | 26 | |
| 20 | 2018 | 23 |
About Yanning Shen
Yanning Shen is a scholar working on Computational Mathematics, Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (20 papers), Sparse and Compressive Sensing Techniques (16 papers), Complex Network Analysis Techniques (10 papers), Advanced Bandit Algorithms Research (9 papers), Blind Source Separation Techniques (7 papers), Face and Expression Recognition (7 papers), Image and Signal Denoising Methods (7 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). The work is most often cited by research in Computational Mathematics (35 citations), Signal Processing (261 citations), Computational Mechanics (374 citations), Statistical and Nonlinear Physics (196 citations) and Artificial Intelligence (427 citations). Yanning Shen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Georgios B. Giannakis, Jun Fang, Hongbin Li, Brian Baingana, Pu Wang, Rick S. Blum, Vassilis N. Ioannidis, Shaoqian Li, Jing Li and Tianyi Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Signal and Information Processing over Networks, 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.