Yihong Wu
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Statistics and Probability top 1%
- Electrical and Electronic Engineering top 10%
- Computational Mechanics top 2%
- Co-authors
- Sergio VerdúZongming MaJiaming XuTommaso CaiPengkun YangYury PolyanskiyBruce HajekShlomo Shamai
- Topics
- Sparse and Compressive Sensing Techniques (23 papers)Wireless Communication Security Techniques (14 papers)Statistical Methods and Inference (14 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaIEEE Transactions on Information Theory
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yihong Wu
80 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 666
- Computer Networks and Communications 476
- Statistics and Probability 470
- Electrical and Electronic Engineering 462
- Computational Mechanics 407
Countries citing papers authored by Yihong Wu
This map shows the geographic impact of Yihong 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 Yihong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihong Wu more than expected).
Fields of papers citing papers by Yihong Wu
This network shows the impact of papers produced by Yihong 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 Yihong Wu. The network helps show where Yihong Wu may publish in the future.
Co-authorship network of co-authors of Yihong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yihong Wu. A scholar is included among the top collaborators of Yihong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yihong Wu. Yihong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory | 15 |
| 11 | 6 | |
| 12 | 3 | |
| 13 | Sample complexity of population recovery | 3 |
| 14 | Semidefinite Programs for Exact Recovery of a Hidden Community | 7 |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 2 |
About Yihong Wu
Yihong Wu is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (23 papers), Wireless Communication Security Techniques (14 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Statistics and Probability (470 citations), Computational Mathematics (33 citations) and Signal Processing (242 citations). Yihong Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sergio Verdú, Zongming Ma, Jiaming Xu, Tommaso Cai, Pengkun Yang, Yury Polyanskiy, Bruce Hajek, Shlomo Shamai, Dongning Guo and Kai Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Information Theory.
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.