Chao Dang

1.4k total citations
55 papers, 1.0k citations indexed

About

Chao Dang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Chao Dang has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics, Probability and Uncertainty, 26 papers in Civil and Structural Engineering and 14 papers in Computational Theory and Mathematics. Recurrent topics in Chao Dang's work include Probabilistic and Robust Engineering Design (47 papers), Structural Health Monitoring Techniques (17 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Chao Dang is often cited by papers focused on Probabilistic and Robust Engineering Design (47 papers), Structural Health Monitoring Techniques (17 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Chao Dang collaborates with scholars based in China, Germany and United Kingdom. Chao Dang's co-authors include Jun Xu, Michael Beer, Pengfei Wei, Marcos A. Valdebenito, Matthias G.R. Faes, Jingwen Song, Fan Kong, Changting Zhong, Ding Wang and Yu Shrike Zhang and has published in prestigious journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and Journal of Sound and Vibration.

In The Last Decade

Chao Dang

51 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Dang China 20 822 520 210 191 157 55 1.0k
Diego A. Álvarez Colombia 15 607 0.7× 474 0.9× 185 0.9× 154 0.8× 106 0.7× 29 873
Yan Shi China 19 779 0.9× 390 0.8× 361 1.7× 176 0.9× 151 1.0× 78 1.2k
Bingyu Ni China 18 783 1.0× 552 1.1× 286 1.4× 162 0.8× 69 0.4× 44 1.0k
C. Jiang China 20 1.0k 1.2× 625 1.2× 490 2.3× 229 1.2× 116 0.7× 29 1.2k
Jean‐Marc Bourinet France 13 842 1.0× 431 0.8× 390 1.9× 202 1.1× 136 0.9× 32 1.0k
Wolfgang Betz Germany 10 599 0.7× 489 0.9× 109 0.5× 122 0.6× 224 1.4× 17 907
Shufang Song China 16 754 0.9× 361 0.7× 229 1.1× 234 1.2× 128 0.8× 42 945
Sinan Xiao China 17 624 0.8× 328 0.6× 177 0.8× 210 1.1× 125 0.8× 47 792
Chunyan Ling China 15 591 0.7× 272 0.5× 264 1.3× 116 0.6× 125 0.8× 39 733
Kai Cheng China 21 1.3k 1.5× 681 1.3× 595 2.8× 281 1.5× 181 1.2× 46 1.6k

Countries citing papers authored by Chao Dang

Since Specialization
Citations

This map shows the geographic impact of Chao Dang'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 Chao Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Dang more than expected).

Fields of papers citing papers by Chao Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Dang. 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 Chao Dang. The network helps show where Chao Dang may publish in the future.

Co-authorship network of co-authors of Chao Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Dang. A scholar is included among the top collaborators of Chao Dang 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 Chao Dang. Chao Dang 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.
Dang, Pei, et al.. (2025). Semantic-driven parametric 3D geographic scene modeling: Integrating knowledge graphs and large language models. Environmental Modelling & Software. 188. 106399–106399.
2.
Dang, Chao, et al.. (2025). Time-dependent structural reliability analysis: A single-loop approximate Bayesian active learning quadrature approach. Mechanical Systems and Signal Processing. 241. 113473–113473. 1 indexed citations
3.
Valdebenito, Marcos A., et al.. (2025). Aleatory and epistemic uncertainty in reliability analysis: An engineering perspective. Structural Safety. 119. 102666–102666.
4.
Dang, Chao, et al.. (2025). Stochastic dynamic response analysis via dimension-reduced probability density evolution equation (DR-PDEE) with enhanced tail-accuracy. Probabilistic Engineering Mechanics. 79. 103735–103735. 5 indexed citations
5.
Dang, Chao, et al.. (2025). Output probability distribution estimation of stochastic static and dynamic systems using Laplace transform and maximum entropy. Computer Methods in Applied Mechanics and Engineering. 439. 117887–117887. 2 indexed citations
6.
Dang, Chao, Marcos A. Valdebenito, & Matthias G.R. Faes. (2025). Towards a single-loop Gaussian process regression based-active learning method for time-dependent reliability analysis. Mechanical Systems and Signal Processing. 226. 112294–112294. 9 indexed citations
7.
8.
Dang, Chao, et al.. (2025). A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution. International Journal of Digital Earth. 18(1).
9.
Zhou, Tong, Tong Guo, Chao Dang, & Michael Beer. (2024). Bayesian reinforcement learning reliability analysis. Computer Methods in Applied Mechanics and Engineering. 424. 116902–116902. 13 indexed citations
10.
Dang, Chao, et al.. (2024). Structural reliability analysis using imprecise evolutionary power spectral density functions. Journal of Physics Conference Series. 2647(6). 62003–62003. 1 indexed citations
11.
Dang, Chao, Tong Zhou, Marcos A. Valdebenito, & Matthias G.R. Faes. (2024). Yet another Bayesian active learning reliability analysis method. Structural Safety. 112. 102539–102539. 12 indexed citations
12.
Zhou, Tong, Tong Guo, Chao Dang, Lei Jia, & You Dong. (2024). Parallel active learning reliability analysis: A multi-point look-ahead paradigm. Computer Methods in Applied Mechanics and Engineering. 434. 117524–117524. 7 indexed citations
13.
Dang, Chao, et al.. (2023). Data-driven and physics-based interval modelling of power spectral density functions from limited data. Mechanical Systems and Signal Processing. 208. 111078–111078. 3 indexed citations
14.
Dang, Chao, Marcos A. Valdebenito, Matthias G.R. Faes, et al.. (2023). Structural reliability analysis by line sampling: A Bayesian active learning treatment. Structural Safety. 104. 102351–102351. 28 indexed citations
15.
Dang, Chao, Pengfei Wei, Matthias G.R. Faes, Marcos A. Valdebenito, & Michael Beer. (2022). Interval uncertainty propagation by a parallel Bayesian global optimization method. Applied Mathematical Modelling. 108. 220–235. 31 indexed citations
16.
Zhong, Changting, et al.. (2020). Structural reliability assessment by salp swarm algorithm–based FORM. Quality and Reliability Engineering International. 36(4). 1224–1244. 22 indexed citations
17.
Dang, Chao & Jun Xu. (2019). A mixture distribution with fractional moments for efficient seismic reliability analysis of nonlinear structures. Engineering Structures. 208. 109912–109912. 43 indexed citations
18.
Dang, Chao & Jun Xu. (2019). Novel algorithm for reconstruction of a distribution by fitting its first-four statistical moments. Applied Mathematical Modelling. 71. 505–524. 23 indexed citations
19.
Xu, Jun & Chao Dang. (2019). A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis. Applied Mathematical Modelling. 75. 749–768. 87 indexed citations
20.
Dang, Chao, et al.. (2014). Predictive uncertainty of peak outflow relations for landslides dam breach. Environmental Earth Sciences. 72(11). 4265–4271. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Diego A. Álvarez Breakdown of academic impact, for papers by Yan Shi Breakdown of academic impact, for papers by Bingyu Ni Breakdown of academic impact, for papers by C. Jiang Breakdown of academic impact, for papers by Jean‐Marc Bourinet Breakdown of academic impact, for papers by Wolfgang Betz Breakdown of academic impact, for papers by Shufang Song Breakdown of academic impact, for papers by Sinan Xiao Breakdown of academic impact, for papers by Chunyan Ling Breakdown of academic impact, for papers by Kai Cheng
Rankless by CCL
2026