Chen Ling
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
Papers in
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- Advanced Optimization Algorithms Research 21
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- Tensor decomposition and applications 22
- Co-authors
- Liqun Qi (19 shared papers)Hongjin He (17 shared papers)Xinzhen Zhang (5 shared papers)Zheng‐Hai Huang (1 shared paper)Shenglong Hu (1 shared paper)Jiawang Nie (1 shared paper)Yinyu Ye (1 shared paper)Guanglu Zhou (5 shared papers)
In The Last Decade
Chen Ling
38 papers receiving 694 citations
Peers
Comparison fields: 5 of 64
- Computational Mathematics 439
- Numerical Analysis 254
- Computational Theory and Mathematics 455
- Applied Mathematics 73
- Computational Mechanics 109
Countries citing papers authored by Chen Ling
This map shows the geographic impact of Chen Ling'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 Chen Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ling more than expected).
Fields of papers citing papers by Chen Ling
This network shows the impact of papers produced by Chen Ling. 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 Chen Ling. The network helps show where Chen Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Ling, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2009 | 90 | |
| 3 | 2012 | 62 | |
| 4 | 2022 | 50 | |
| 5 | 2018 | 44 | |
| 6 | 2015 | 38 | |
| 7 | 2017 | 36 | |
| 8 | 2022 | 29 | |
| 9 | 2015 | 27 | |
| 10 | 2014 | 23 | |
| 11 | 2023 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2006 | 18 | |
| 15 | 2011 | 15 | |
| 16 | 2010 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2011 | 12 |
About Chen Ling
Chen Ling is a scholar working on Numerical Analysis, Computational Mathematics, Computational Theory and Mathematics, Computational Mechanics and Electrical and Electronic Engineering, having authored 41 papers that have together received 739 indexed citations. Recurring topics across this work include Tensor decomposition and applications (22 papers), Advanced Optimization Algorithms Research (21 papers), Matrix Theory and Algorithms (17 papers), Sparse and Compressive Sensing Techniques (7 papers), Fuel Cells and Related Materials (4 papers), Electrocatalysts for Energy Conversion (4 papers), Optimization and Variational Analysis (4 papers) and Power System Optimization and Stability (3 papers). The work is most often cited by research in Computational Mathematics (439 citations), Numerical Analysis (254 citations), Computational Theory and Mathematics (455 citations), Applied Mathematics (73 citations) and Computational Mechanics (109 citations). Chen Ling has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Liqun Qi, Hongjin He, Xinzhen Zhang, Zheng‐Hai Huang, Shenglong Hu, Jiawang Nie, Yinyu Ye, Guanglu Zhou, Hong‐Kun Xu and Dingbian Qian. Their work appears in journals such as Computational Optimization and Applications, Journal of Global Optimization, Applied Mathematics and Computation, Journal of Scientific Computing and SIAM Journal on Optimization.
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.