Chensen Ding

492 total citations
27 papers, 398 citations indexed

About

Chensen Ding is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Chensen Ding has authored 27 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 13 papers in Statistics, Probability and Uncertainty and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Chensen Ding's work include Probabilistic and Robust Engineering Design (13 papers), Advanced Numerical Analysis Techniques (13 papers) and Model Reduction and Neural Networks (9 papers). Chensen Ding is often cited by papers focused on Probabilistic and Robust Engineering Design (13 papers), Advanced Numerical Analysis Techniques (13 papers) and Model Reduction and Neural Networks (9 papers). Chensen Ding collaborates with scholars based in China, United States and United Kingdom. Chensen Ding's 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 and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Computer Physics Communications and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Chensen Ding

25 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chensen Ding China 14 164 153 145 93 73 27 398
Éric Florentin France 12 100 0.6× 114 0.7× 184 1.3× 166 1.8× 103 1.4× 33 407
Timon Rabczuk Germany 11 124 0.8× 40 0.3× 175 1.2× 89 1.0× 103 1.4× 14 396
Béchir Mokdad France 3 213 1.3× 186 1.2× 239 1.6× 72 0.8× 289 4.0× 3 640
Étienne Pruliére France 11 78 0.5× 71 0.5× 142 1.0× 51 0.5× 123 1.7× 17 308
David Néron France 16 123 0.8× 205 1.3× 242 1.7× 97 1.0× 256 3.5× 40 515
Robert Eggersmann Germany 5 48 0.3× 54 0.4× 205 1.4× 79 0.8× 148 2.0× 7 369
Vamshi Korivi United States 17 464 2.8× 138 0.9× 47 0.3× 31 0.3× 102 1.4× 44 621
Konstantinos Agathos Switzerland 14 227 1.4× 29 0.2× 472 3.3× 209 2.2× 56 0.8× 26 602
J. P. Moitinho de Almeida Portugal 16 372 2.3× 83 0.5× 495 3.4× 191 2.1× 102 1.4× 49 717
A. Ferrer Spain 9 74 0.5× 56 0.4× 146 1.0× 155 1.7× 81 1.1× 19 297

Countries citing papers authored by Chensen Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chensen Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chensen Ding. A scholar is included among the top collaborators of Chensen Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chensen Ding. Chensen Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ding, Chensen, et al.. (2025). Few-shot data-driven multi-physics real-time prediction under generalized geometric morphing and varying boundaries. Computer Methods in Applied Mechanics and Engineering. 448. 118511–118511.
2.
Wang, Zhuosen, et al.. (2025). Parallel spatiotemporal order-reduced Gaussian process for dynamic full-field multi-physics prediction of hypervelocity collisions in real-time with limited data. Computer Methods in Applied Mechanics and Engineering. 438. 117810–117810. 2 indexed citations
3.
Zhang, Mengxi, Shuai Zhang, Dan Tian, et al.. (2025). Order reduced Gaussian process fused physical information for assessing long-term multiple properties using very little high-variance experimental data -a real-world concrete dam application. Engineering Applications of Artificial Intelligence. 159. 111718–111718. 1 indexed citations
4.
5.
Zhang, Mengxi, et al.. (2024). Mesoscopic simulation of concrete drying shrinkage with hydration kinetics. International Journal of Mechanical Sciences. 283. 109716–109716. 6 indexed citations
6.
7.
Rabczuk, Timon, et al.. (2024). Multi-DORGP for fast uncertainty quantification of multi-scale irregular defects in super large-scale fiber-reinforced composite. Composites Part A Applied Science and Manufacturing. 182. 108196–108196. 6 indexed citations
8.
Ding, Chensen, et al.. (2024). Simple yet effective adaptive activation functions for physics-informed neural networks. Computer Physics Communications. 307. 109428–109428. 6 indexed citations
9.
Ding, Chensen, Hussein Rappel, & Tim Dodwell. (2023). Full-field order-reduced Gaussian Process emulators for nonlinear probabilistic mechanics. Computer Methods in Applied Mechanics and Engineering. 405. 115855–115855. 13 indexed citations
10.
Ding, Chensen, Yang Chen, Hussein Rappel, & Tim Dodwell. (2023). Functional order-reduced Gaussian Processes based machine-learning emulators for probabilistic constitutive modelling. Composites Part A Applied Science and Manufacturing. 173. 107695–107695. 7 indexed citations
11.
Chen, Leilei, Zhongwang Wang, Haojie Lian, et al.. (2023). Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering. Computer Methods in Applied Mechanics and Engineering. 419. 116654–116654. 47 indexed citations
12.
Peng, Xuan, et al.. (2023). Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data. Computer Methods in Applied Mechanics and Engineering. 417. 116394–116394. 6 indexed citations
13.
Ding, Chensen, et al.. (2021). Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method. Computational Mechanics. 67(5). 1255–1271. 32 indexed citations
14.
Ding, Chensen, et al.. (2020). Sensitively detecting mTBI biomarker S100B by using peptide-modified ratiometric fluorescent C/AuNCs nanoprobe. Analytical and Bioanalytical Chemistry. 412(15). 3695–3702. 13 indexed citations
15.
Wang, Bing, et al.. (2020). Stochastic stable node-based smoothed finite element method for uncertainty and reliability analysis of thermo-mechanical problems. Engineering Analysis with Boundary Elements. 114. 23–44. 17 indexed citations
16.
Yao, Wenyan, et al.. (2020). SiC-functionalized fluorescent aptasensor for determination of Proteus mirabilis. Microchimica Acta. 187(7). 406–406. 14 indexed citations
17.
Ding, Chensen, Haojie Lian, Yanjun Ding, et al.. (2019). Resolving high frequency issues via proper orthogonal decomposition based dynamic isogeometric analysis for structures with dissimilar materials. Computer Methods in Applied Mechanics and Engineering. 359. 112753–112753. 21 indexed citations
18.
Ding, Chensen, et al.. (2018). A gradient-based shape optimization scheme via isogeometric exact reanalysis. Engineering Computations. 35(8). 2696–2721. 12 indexed citations
19.
Ding, Chensen, et al.. (2017). Exact and efficient isogeometric reanalysis of accurate shape and boundary modifications. Computer Methods in Applied Mechanics and Engineering. 318. 619–635. 16 indexed citations
20.
Ding, Chensen, Xiangyang Cui, & G. Y. Li. (2016). Accurate analysis and thickness optimization of tailor rolled blanks based on isogeometric analysis. Structural and Multidisciplinary Optimization. 54(4). 871–887. 25 indexed citations

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.

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2026