Yi Zhou
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Networks and Communications top 10%
- Topics
- Stochastic Gradient Optimization Techniques (26 papers)Sparse and Compressive Sensing Techniques (24 papers)Handwritten Text Recognition Techniques (9 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Zhou
89 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 570
- Information Systems 461
- Computer Vision and Pattern Recognition 355
- Computational Mechanics 167
- Computer Networks and Communications 153
Countries citing papers authored by Yi Zhou
This map shows the geographic impact of Yi Zhou'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 Yi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Zhou more than expected).
Fields of papers citing papers by Yi Zhou
This network shows the impact of papers produced by Yi Zhou. 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 Yi Zhou. The network helps show where Yi Zhou may publish in the future.
Co-authorship network of co-authors of Yi Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Zhou. A scholar is included among the top collaborators of Yi Zhou 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 Yi Zhou. Yi Zhou 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 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | A unified variance-reduced accelerated gradient method for convex optimization | 3 |
| 11 | SpiderBoost and Momentum: Faster Variance Reduction Algorithms | 23 |
| 12 | SGD Converges to Global Minimum in Deep Learning via Star-convex Path. | 6 |
| 13 | Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties | 14 |
| 14 | Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. | 2 |
| 15 | Convergence of SGD in Learning ReLU Models with Separable Data. | 2 |
| 16 | 42 | |
| 17 | Convergence analysis of proximal gradient with momentum for nonconvex optimization | 6 |
| 18 | Analysis of robust PCA via local incoherence | 7 |
| 19 | Research on Dynamic Web Service Selection based Multi-QoS constraints | 2 |
| 20 | Mathematics Education Markup Language | 1 |
About Yi Zhou
Yi Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Numerical Analysis, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (26 papers), Sparse and Compressive Sensing Techniques (24 papers) and Handwritten Text Recognition Techniques (9 papers). The work is most often cited by research in Information Systems (461 citations), Artificial Intelligence (570 citations) and Computer Vision and Pattern Recognition (355 citations). Yi Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianhua He, Zuoyin Tang, Wei Jian, Kai Chen, Guanghui Lan, Yingbin Liang, Xiaokang Yang, Kai Chen, Kaiyi Ji and Jun Sun. Their work appears in journals such as IEEE Transactions on Automatic Control, Chemical Engineering Journal and Automatica.
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.