Zhaosong Lu
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research 34
- Computational Mathematics top 5%
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques 49
- Statistics and Probability top 1%
- Statistical Methods and Inference 11
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- Optimization and Variational Analysis 11
- Complexity and Algorithms in Graphs 6
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- Stochastic Gradient Optimization Techniques 15
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- Image and Signal Denoising Methods 5
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- Photoacoustic and Ultrasonic Imaging 4
- Co-authors
- Renato D. C. MonteiroYong ZhangLin XiaoJieping YeMing YuanAli EkiciTing Kei PongYanjing Li
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Zhaosong Lu
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Numerical Analysis 481
- Computational Mathematics 41
- Computational Mechanics 1.1k
- Statistics and Probability 294
- 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
The 25 scholars most cited alongside Zhaosong Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 14 | |
| 9 | 2015 | 34 | |
| 10 | Rank-One Matrix Pursuit for Matrix Completion | 2014 | 36 |
| 11 | Exact Penalty Methods for Non-Lipschitz Optimization | 2014 | 1 |
| 12 | An Accelerated Proximal Coordinate Gradient Method | 2014 | 22 |
| 13 | 2014 | 111 | |
| 14 | 2013 | 62 | |
| 15 | 2013 | 93 | |
| 16 | 2011 | 70 | |
| 17 | Interior Point Methods for Optimal Experimental Designs | 2010 | 1 |
| 18 | Gradient based method for cone programming with application to large-scale compressed sensing | 2008 | 4 |
| 19 | A New Cone Programming Approach for Robust Portfolio Selection | 2008 | 14 |
| 20 | 2006 | 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), Stochastic Gradient Optimization Techniques (15 papers), Optimization and Variational Analysis (11 papers), Statistical Methods and Inference (11 papers), Complexity and Algorithms in Graphs (6 papers), Image and Signal Denoising Methods (5 papers) and Photoacoustic and Ultrasonic Imaging (4 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.
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.