Zhaosong Lu
- Computational Mechanics top 0.5%
- Artificial Intelligence top 2%
- Numerical Analysis top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Renato D. C. MonteiroYong ZhangLin XiaoJieping YeMing YuanAli EkiciTing Kei PongYanjing Li
- Topics
- Sparse and Compressive Sensing Techniques (49 papers)Advanced Optimization Algorithms Research (34 papers)Stochastic Gradient Optimization Techniques (15 papers)
- Journals
- Mathematics of ComputationJournal of the Royal Statistical Society Series B (Statistical Methodology)Neurocomputing
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Zhaosong Lu
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Computational Mechanics 1.1k
- Artificial Intelligence 500
- Numerical Analysis 481
- Computer Vision and Pattern Recognition 388
- Computational Theory and Mathematics 369
Countries citing papers authored by Zhaosong Lu
This map shows the geographic impact of Zhaosong Lu'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 Zhaosong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaosong Lu more than expected).
Fields of papers citing papers by Zhaosong Lu
This network shows the impact of papers produced by Zhaosong Lu. 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 Zhaosong Lu. The network helps show where Zhaosong Lu may publish in the future.
Co-authorship network of co-authors of Zhaosong Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaosong Lu. A scholar is included among the top collaborators of Zhaosong Lu 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 Zhaosong Lu. Zhaosong Lu 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 | 2 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 22 | |
| 8 | 14 | |
| 9 | 34 | |
| 10 | Rank-One Matrix Pursuit for Matrix Completion | 36 |
| 11 | Exact Penalty Methods for Non-Lipschitz Optimization | 1 |
| 12 | An Accelerated Proximal Coordinate Gradient Method | 22 |
| 13 | 111 | |
| 14 | 62 | |
| 15 | 93 | |
| 16 | 70 | |
| 17 | Interior Point Methods for Optimal Experimental Designs | 1 |
| 18 | Gradient based method for cone programming with application to large-scale compressed sensing | 4 |
| 19 | A New Cone Programming Approach for Robust Portfolio Selection | 14 |
| 20 | 19 |
About Zhaosong Lu
Zhaosong Lu is a scholar working on Numerical Analysis, Computational Mathematics and Computational Mechanics, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (49 papers), Advanced Optimization Algorithms Research (34 papers) and Stochastic Gradient Optimization Techniques (15 papers). The work is most often cited by research in Numerical Analysis (481 citations), Computational Mathematics (41 citations) and Computational Mechanics (1.1k citations). Zhaosong Lu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Renato D. C. Monteiro, Yong Zhang, Lin Xiao, Jieping Ye, Ming Yuan, Ali Ekici, Ting Kei Pong, Yanjing Li, Jeremy J. Michalek and Guanghui Lan. Their work appears in journals such as Mathematics of Computation, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Neurocomputing.
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.