Jiaming Xu
Impact in
- Statistics and Probability top 2%
- Random Matrices and Applications
- Computational Mathematics top 10%
Papers in
-
- Advanced Graph Neural Networks 10
- Stochastic Gradient Optimization Techniques 9
-
- Random Matrices and Applications 10
- Markov Chains and Monte Carlo Methods 9
- Co-authors
- Yudong Chen (6 shared papers)Lili Su (6 shared papers)Yihong Wu (21 shared papers)Bruce Hajek (15 shared papers)Xiaodong Li (2 shared papers)Elchanan Mossel (3 shared papers)Chao Li (1 shared paper)Xin Guo (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (6 papers)ACM SIGMETRICS Performance Evaluation Review (4 papers)Operations Research (2 papers)Stochastic Systems (2 papers)International Journal of Environmental Research and Public Health (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jiaming Xu
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 206
- Computational Mathematics 15
- Artificial Intelligence 786
- Statistical and Nonlinear Physics 260
- Computer Vision and Pattern Recognition 222
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-authors
The 25 scholars most cited alongside Jiaming Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 276 | |
| 2 | 2019 | 135 | |
| 3 | 2018 | 127 | |
| 4 | 2016 | 80 | |
| 5 | 2016 | 47 | |
| 6 | 2018 | 41 | |
| 7 | 2020 | 40 | |
| 8 | 2022 | 34 | |
| 9 | 2017 | 30 | |
| 10 | 2018 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2015 | 23 | |
| 14 | 2023 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2015 | 16 |
About Jiaming Xu
Jiaming Xu is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Graph Theory and Algorithms (10 papers), Random Matrices and Applications (10 papers), Advanced Graph Neural Networks (10 papers), Advanced Queuing Theory Analysis (9 papers), Markov Chains and Monte Carlo Methods (9 papers), Stochastic Gradient Optimization Techniques (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Statistics and Probability (206 citations), Computational Mathematics (15 citations), Artificial Intelligence (786 citations), Statistical and Nonlinear Physics (260 citations) and Computer Vision and Pattern Recognition (222 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, Chao Li, Xin Guo, Pipei Huang and Wen Chen. Their work appears in journals such as IEEE Transactions on Information Theory, ACM SIGMETRICS Performance Evaluation Review, Operations Research, Stochastic Systems and International Journal of Environmental Research and Public Health.
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.