Ying Cui
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Computational Mathematics top 10%
Papers in
-
- Sparse and Compressive Sensing Techniques 13
-
- Optimization and Variational Analysis 11
- Co-authors
- Jong‐Shi Pang (13 shared papers)Defeng Sun (6 shared papers)Kim-Chuan Toh (4 shared papers)Bodhisattva Sen (1 shared paper)Xudong Li (2 shared papers)Chenlei Leng (1 shared paper)Xinyuan Zhao (2 shared papers)Chao Ding (2 shared papers)
- Journals
- SIAM Journal on Optimization (8 papers)Mathematics of Operations Research (4 papers)Journal of Optimization Theory and Applications (2 papers)Mathematical Programming (2 papers)Computational Optimization and Applications (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ying Cui
24 papers receiving 284 citations
Peers
Comparison fields: 5 of 53
- Numerical Analysis 112
- Computational Mathematics 11
- Computational Theory and Mathematics 114
- Computational Mechanics 143
- Statistics and Probability 48
Countries citing papers authored by Ying Cui
This map shows the geographic impact of Ying Cui'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 Ying Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Cui more than expected).
Fields of papers citing papers by Ying Cui
This network shows the impact of papers produced by Ying Cui. 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 Ying Cui. The network helps show where Ying Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Cui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 33 | |
| 2 | 2018 | 32 | |
| 3 | 2018 | 32 | |
| 4 | 2021 | 31 | |
| 5 | 2014 | 28 | |
| 6 | 2018 | 25 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2007 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 3 |
About Ying Cui
Ying Cui is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research and Statistics and Probability, having authored 27 papers that have together received 297 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Optimization and Variational Analysis (11 papers), Advanced Optimization Algorithms Research (10 papers), Risk and Portfolio Optimization (6 papers), Statistical Methods and Inference (4 papers), Optimization and Mathematical Programming (3 papers), Blind Source Separation Techniques (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Numerical Analysis (112 citations), Computational Mathematics (11 citations), Computational Theory and Mathematics (114 citations), Computational Mechanics (143 citations) and Statistics and Probability (48 citations). Ying Cui has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jong‐Shi Pang, Defeng Sun, Kim-Chuan Toh, Bodhisattva Sen, Xudong Li, Chenlei Leng, Xinyuan Zhao, Chao Ding, Tsung‐Hui Chang and Ziyu He. Their work appears in journals such as SIAM Journal on Optimization, Mathematics of Operations Research, Journal of Optimization Theory and Applications, Mathematical Programming and Computational Optimization and Applications.
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.