Shuxiao Chen
About
In The Last Decade
Shuxiao Chen
12 papers receiving 128 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 68
- Artificial Intelligence 22
- Statistics and Probability 18
- Computer Vision and Pattern Recognition 13
- Biophysics 12
Countries citing papers authored by Shuxiao Chen
This map shows the geographic impact of Shuxiao Chen'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 Shuxiao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuxiao Chen more than expected).
Fields of papers citing papers by Shuxiao Chen
This network shows the impact of papers produced by Shuxiao Chen. 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 Shuxiao Chen. The network helps show where Shuxiao Chen may publish in the future.
Co-authorship network of co-authors of Shuxiao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shuxiao Chen. A scholar is included among the top collaborators of Shuxiao Chen 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 Shuxiao Chen. Shuxiao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 45 | |
| 6 | 24 | |
| 7 | Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? | 0 |
| 8 | 10 | |
| 9 | Federated f-Differential Privacy. | 2 |
| 10 | Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity | 1 |
| 11 | Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond. | 8 |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 1 |
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.