Lingchen Kong
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Sparse and Compressive Sensing Techniques 29
-
- Optimization and Variational Analysis 9
- Matrix Theory and Algorithms 7
- Co-authors
- Naihua Xiu (20 shared papers)Jie Sun (4 shared papers)Levent Tunçel (6 shared papers)Yu Li (4 shared papers)Jun Fan (2 shared papers)Wei Feng (4 shared papers)Hui Zou (1 shared paper)Shiqian Ma (1 shared paper)
- Journals
- Journal of Optimization Theory and Applications (4 papers)Computational Optimization and Applications (2 papers)Journal of Computational and Applied Mathematics (2 papers)Applied Mathematics and Computation (2 papers)Linear Algebra and its Applications (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lingchen Kong
52 papers receiving 533 citations
Peers
Comparison fields: 5 of 75
- Numerical Analysis 169
- Computational Mathematics 7
- Statistics and Probability 90
- Computational Theory and Mathematics 151
- Computational Mechanics 154
Countries citing papers authored by Lingchen Kong
This map shows the geographic impact of Lingchen Kong'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 Lingchen Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingchen Kong more than expected).
Fields of papers citing papers by Lingchen Kong
This network shows the impact of papers produced by Lingchen Kong. 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 Lingchen Kong. The network helps show where Lingchen Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingchen Kong, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2023 | 77 | |
| 3 | 2008 | 65 | |
| 4 | 2017 | 47 | |
| 5 | 2009 | 29 | |
| 6 | 2013 | 18 | |
| 7 | 2009 | 17 | |
| 8 | 2025 | 16 | |
| 9 | 2014 | 14 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2013 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2016 | 8 | |
| 18 | The Fischer-Burmeister Complementarity Function on Euclidean Jordan Algebras∗ | 2008 | 8 |
| 19 | 2007 | 7 | |
| 20 | 2018 | 7 |
About Lingchen Kong
Lingchen Kong is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis, Biomedical Engineering and Statistics and Probability, having authored 55 papers that have together received 564 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (29 papers), Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (9 papers), Statistical Methods and Inference (8 papers), Microwave Imaging and Scattering Analysis (8 papers), Matrix Theory and Algorithms (7 papers), Advanced Statistical Methods and Models (5 papers) and Direction-of-Arrival Estimation Techniques (4 papers). The work is most often cited by research in Numerical Analysis (169 citations), Computational Mathematics (7 citations), Statistics and Probability (90 citations), Computational Theory and Mathematics (151 citations) and Computational Mechanics (154 citations). Lingchen Kong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Naihua Xiu, Jie Sun, Levent Tunçel, Yu Li, Jun Fan, Wei Feng, Hui Zou, Shiqian Ma, Shixue Zhang and Cong Peng. Their work appears in journals such as Journal of Optimization Theory and Applications, Computational Optimization and Applications, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation and Linear Algebra and its 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.