Shaofeng Zou
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Statistics, Probability and Uncertainty top 2%
- Statistics and Probability top 5%
- Electrical and Electronic Engineering
- Co-authors
- Venugopal V. VeeravalliYingbin LiangLiyan XieYao XieShlomo ShamaiLifeng LaiH. Vincent PoorTengyu Xu
- Topics
- Advanced Statistical Process Monitoring (24 papers)Distributed Sensor Networks and Detection Algorithms (17 papers)Statistical Methods and Inference (12 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesIsraelChina
In The Last Decade
Shaofeng Zou
65 papers receiving 525 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 255
- Computer Networks and Communications 168
- Statistics, Probability and Uncertainty 166
- Statistics and Probability 115
- Electrical and Electronic Engineering 104
Countries citing papers authored by Shaofeng Zou
This map shows the geographic impact of Shaofeng Zou'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 Shaofeng Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaofeng Zou more than expected).
Fields of papers citing papers by Shaofeng Zou
This network shows the impact of papers produced by Shaofeng Zou. 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 Shaofeng Zou. The network helps show where Shaofeng Zou may publish in the future.
Co-authorship network of co-authors of Shaofeng Zou
This figure shows the co-authorship network connecting the top 25 collaborators of Shaofeng Zou. A scholar is included among the top collaborators of Shaofeng Zou 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 Shaofeng Zou. Shaofeng Zou 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. | 2 |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 3 | |
| 17 | Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. | 2 |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 3 |
About Shaofeng Zou
Shaofeng Zou is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Computer Networks and Communications, having authored 69 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (24 papers), Distributed Sensor Networks and Detection Algorithms (17 papers) and Statistical Methods and Inference (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (166 citations), Statistics and Probability (115 citations) and Artificial Intelligence (255 citations). Shaofeng Zou has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Venugopal V. Veeravalli, Yingbin Liang, Liyan Xie, Yao Xie, Shlomo Shamai, Lifeng Lai, H. Vincent Poor, Tengyu Xu, Georgios Fellouris and Don Towsley. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.