Jiaming Xu
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Statistics and Probability top 2%
- Co-authors
- Yudong ChenLili SuYihong WuBruce HajekXiaodong LiElchanan MosselAndreas PfadlerChao Li
- Topics
- Complex Network Analysis Techniques (13 papers)Graph Theory and Algorithms (10 papers)Advanced Graph Neural Networks (10 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Information TheoryOperations Research
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jiaming Xu
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 717
- Statistical and Nonlinear Physics 248
- Computer Networks and Communications 208
- Computer Vision and Pattern Recognition 197
- Statistics and Probability 184
Countries citing papers authored by Jiaming Xu
This map shows the geographic impact of Jiaming Xu'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 Jiaming Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Xu more than expected).
Fields of papers citing papers by Jiaming Xu
This network shows the impact of papers produced by Jiaming Xu. 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 Jiaming Xu. The network helps show where Jiaming Xu may publish in the future.
Co-authorship network of co-authors of Jiaming Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Xu. A scholar is included among the top collaborators of Jiaming Xu 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 Jiaming Xu. Jiaming Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | Optimal query complexity for private sequential learning against eavesdropping | 0 |
| 9 | Graph Matching with Partially-Correct Seeds | 2 |
| 10 | Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory | 15 |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 118 | |
| 14 | 258 | |
| 15 | Density Evolution in the Degree-correlated Stochastic Block Model | 8 |
| 16 | Semidefinite Programs for Exact Recovery of a Hidden Community | 7 |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 9 |
About Jiaming Xu
Jiaming Xu is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Management Information Systems, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Graph Theory and Algorithms (10 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Artificial Intelligence (717 citations), Statistics and Probability (184 citations) and Computational Mathematics (12 citations). Jiaming Xu has collaborated with scholars based in United States, China and France. Frequent co-authors include Yudong Chen, Lili Su, Yihong Wu, Bruce Hajek, Xiaodong Li, Elchanan Mossel, Andreas Pfadler, Chao Li, Binqiang Zhao and Jian Ding. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Operations Research.
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.