Chensen Ding
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- Probabilistic and Robust Engineering Design 13
- Computational Mechanics top 5%
- Advanced Numerical Analysis Techniques 13
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- Model Reduction and Neural Networks 9
- Mechanics of Materials top 10%
- Numerical methods in engineering 3
- Civil and Structural Engineering top 10%
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- Advanced Multi-Objective Optimization Algorithms 4
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- Computational Geometry and Mesh Generation 2
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- Iterative Methods for Nonlinear Equations 2
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- Carbon and Quantum Dots Applications 2
- Cited by
- Statistics, Probability and UncertaintyComputational MechanicsStatistical and Nonlinear Physics
- Journals
- Computer Methods in Applied Mechanics and Engineering (9 papers)Computational Mechanics (2 papers)Engineering Computations (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chensen Ding
25 papers receiving 392 citations
Peers
Comparison fields: 5 of 56
- Statistics, Probability and Uncertainty 153
- Computational Mechanics 164
- Statistical and Nonlinear Physics 73
- Mechanics of Materials 145
- Civil and Structural Engineering 93
Countries citing papers authored by Chensen Ding
This map shows the geographic impact of Chensen Ding'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 Chensen Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chensen Ding more than expected).
Fields of papers citing papers by Chensen Ding
This network shows the impact of papers produced by Chensen Ding. 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 Chensen Ding. The network helps show where Chensen Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chensen Ding, 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 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 47 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 21 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 16 | |
| 20 | 2016 | 25 |
About Chensen Ding
Chensen Ding is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Computational Mechanics, Computer Graphics and Computer-Aided Design and Numerical Analysis, having authored 27 papers that have together received 398 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (13 papers), Advanced Numerical Analysis Techniques (13 papers), Model Reduction and Neural Networks (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Numerical methods in engineering (3 papers), Computational Geometry and Mesh Generation (2 papers), Iterative Methods for Nonlinear Equations (2 papers) and Carbon and Quantum Dots Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (153 citations), Computational Mechanics (164 citations), Statistical and Nonlinear Physics (73 citations), Mechanics of Materials (145 citations) and Civil and Structural Engineering (93 citations). Chensen Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangyang Cui, Kumar K. Tamma, Guangyao Li, Stéphane Bordas, Haojie Lian, Yong Cai, G. Y. Li, Pei Li, Hussein Rappel and Leilei Chen. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computational Mechanics, Engineering Computations, Numerical Heat Transfer Part A Applications and Composites Part A Applied Science and Manufacturing.
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.