Chen Ling
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
Papers in
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- Tensor decomposition and applications 22
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- Advanced Optimization Algorithms Research 21
- Co-authors
- Liqun Qi (19 shared papers)Hongjin He (16 shared papers)Xinzhen Zhang (5 shared papers)Shenglong Hu (1 shared paper)Zheng‐Hai Huang (1 shared paper)Yinyu Ye (1 shared paper)Jiawang Nie (1 shared paper)Guanglu Zhou (4 shared papers)
In The Last Decade
Chen Ling
38 papers receiving 748 citations
Peers
Comparison fields: 5 of 67
- Computational Mathematics 456
- Numerical Analysis 271
- Computational Theory and Mathematics 481
- Applied Mathematics 76
- Computational Mechanics 116
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 | 115 | |
| 2 | 2009 | 93 | |
| 3 | 2012 | 66 | |
| 4 | 2022 | 56 | |
| 5 | 2018 | 48 | |
| 6 | 2017 | 40 | |
| 7 | 2015 | 39 | |
| 8 | 2022 | 35 | |
| 9 | 2015 | 27 | |
| 10 | 2014 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2015 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2006 | 18 | |
| 15 | 2024 | 18 | |
| 16 | 2010 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2020 | 12 |
About Chen Ling
Chen Ling is a scholar working on Computational Mathematics, Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics and Renewable Energy, Sustainability and the Environment, having authored 41 papers that have together received 793 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 Advanced battery technologies research (3 papers). The work is most often cited by research in Computational Mathematics (456 citations), Numerical Analysis (271 citations), Computational Theory and Mathematics (481 citations), Applied Mathematics (76 citations) and Computational Mechanics (116 citations). Chen Ling has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Liqun Qi, Hongjin He, Xinzhen Zhang, Shenglong Hu, Zheng‐Hai Huang, Yinyu Ye, Jiawang Nie, Guanglu Zhou, Hong‐Kun Xu and Dingbian Qian. Their work appears in journals such as Computational Optimization and Applications, Applied Mathematics and Computation, Journal of Global Optimization, International Journal of Hydrogen Energy and Numerical Functional Analysis and 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.