Delin Chu
Impact in
- Computational Mathematics top 1%
- Numerical Analysis top 2%
Papers in
-
- Numerical methods for differential equations 20
- Advanced Optimization Algorithms Research 7
- Co-authors
- Roger C. E. TanVolker MehrmannLi‐Zhi LiaoJian YangDaniel W. C. HoMichael K. NgMoody T. ChuJingyu Yang
In The Last Decade
Delin Chu
92 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Mathematics 94
- Numerical Analysis 271
- Computational Theory and Mathematics 575
- Computer Networks and Communications 724
- Computer Vision and Pattern Recognition 463
Countries citing papers authored by Delin Chu
This map shows the geographic impact of Delin Chu'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 Delin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delin Chu more than expected).
Fields of papers citing papers by Delin Chu
This network shows the impact of papers produced by Delin Chu. 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 Delin Chu. The network helps show where Delin Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Delin Chu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 1 | |
| 7 | 2016 | 4 | |
| 8 | Sparse Kernel Canonical Correlation Analysis | 2013 | 15 |
| 9 | 2013 | 11 | |
| 10 | 2012 | 1 | |
| 11 | 2010 | 15 | |
| 12 | 2002 | 17 | |
| 13 | 2001 | 36 | |
| 14 | 2000 | 4 | |
| 15 | 2000 | 7 | |
| 16 | 2000 | 16 | |
| 17 | 2000 | 18 | |
| 18 | 1999 | 11 | |
| 19 | 1999 | 43 | |
| 20 | 1998 | 5 |
About Delin Chu
Delin Chu is a scholar working on Computational Mathematics, Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering and Computational Mechanics, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (40 papers), Stability and Control of Uncertain Systems (26 papers), Numerical methods for differential equations (20 papers), Sparse and Compressive Sensing Techniques (17 papers), Face and Expression Recognition (17 papers), Control and Stability of Dynamical Systems (8 papers), Advanced Optimization Algorithms Research (7 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Computational Mathematics (94 citations), Numerical Analysis (271 citations), Computational Theory and Mathematics (575 citations), Computer Networks and Communications (724 citations) and Computer Vision and Pattern Recognition (463 citations). Delin Chu has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Roger C. E. Tan, Volker Mehrmann, Li‐Zhi Liao, Jian Yang, Daniel W. C. Ho, Michael K. Ng, Moody T. Chu, Jingyu Yang, Yong Xu and Lei Zhang. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, IEEE Transactions on Automatic Control, Linear Algebra and its Applications, SIAM Journal on Control and Optimization and SIAM Journal on Scientific Computing.
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.