C. Jiang

1.5k total citations
29 papers, 1.2k citations indexed

About

C. Jiang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, C. Jiang has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics, Probability and Uncertainty, 15 papers in Civil and Structural Engineering and 13 papers in Computational Theory and Mathematics. Recurrent topics in C. Jiang's work include Probabilistic and Robust Engineering Design (25 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Structural Health Monitoring Techniques (8 papers). C. Jiang is often cited by papers focused on Probabilistic and Robust Engineering Design (25 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Structural Health Monitoring Techniques (8 papers). C. Jiang collaborates with scholars based in China, Singapore and Australia. C. Jiang's co-authors include Xu Han, Z. Zhang, Jing Zheng, Zhiliang Huang, Xinpeng Wei, J. Liu, Guo‐Dong Lu, Xiangyun Long, Zhen Luo and G. R. Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Power Systems.

In The Last Decade

C. Jiang

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Jiang China 20 1.0k 625 490 229 161 29 1.2k
Mohsen Rashki Iran 19 648 0.6× 525 0.8× 372 0.8× 198 0.9× 99 0.6× 46 1.3k
Jean‐Marc Bourinet France 13 842 0.8× 431 0.7× 390 0.8× 202 0.9× 204 1.3× 32 1.0k
Z. Zhang China 15 838 0.8× 508 0.8× 337 0.7× 174 0.8× 106 0.7× 19 1.0k
Matteo Broggi Germany 23 1.0k 1.0× 782 1.3× 229 0.5× 203 0.9× 111 0.7× 89 1.5k
Barron Bichon United States 10 1.2k 1.2× 705 1.1× 932 1.9× 201 0.9× 388 2.4× 22 1.7k
Bingyu Ni China 18 783 0.8× 552 0.9× 286 0.6× 162 0.7× 55 0.3× 44 1.0k
Chao Dang China 20 822 0.8× 520 0.8× 210 0.4× 191 0.8× 72 0.4× 55 1.0k
Y.-T. Wu United States 18 1.2k 1.2× 496 0.8× 461 0.9× 432 1.9× 179 1.1× 60 1.4k
Yunlong Li China 21 714 0.7× 634 1.0× 253 0.5× 191 0.8× 70 0.4× 72 1.2k
Changcong Zhou China 18 628 0.6× 370 0.6× 208 0.4× 232 1.0× 82 0.5× 70 785

Countries citing papers authored by C. Jiang

Since Specialization
Citations

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

Fields of papers citing papers by C. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of C. Jiang. A scholar is included among the top collaborators of C. Jiang 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 C. Jiang. C. Jiang 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.
Jiang, C., et al.. (2024). Incomplete freezing strategies for achieving long-lasting preservation of muscle foods: categories, regulations, efficiencies and challenges. SHILAP Revista de lepidopterología. 2(3). 9240075–9240075. 1 indexed citations
2.
Jiang, C., et al.. (2021). An Efficient Uncertainty Propagation Analysis Method for Problems Involving Non-Parameterized Probability-Boxes. Journal of Mechanical Design. 143(10). 12 indexed citations
3.
Jiang, C., et al.. (2020). Efficient uncertainty propagation for parameterized p-box using sparse-decomposition-based polynomial chaos expansion. Mechanical Systems and Signal Processing. 138. 106589–106589. 26 indexed citations
4.
Huang, Zhiliang, et al.. (2019). Evidence-theory-based reliability design optimization with parametric correlations. Structural and Multidisciplinary Optimization. 60(2). 565–580. 19 indexed citations
5.
Jiang, C., et al.. (2018). An improved TRPD method for time-variant reliability analysis. Structural and Multidisciplinary Optimization. 58(5). 1935–1946. 63 indexed citations
6.
Huang, Zhiliang, et al.. (2017). A decoupling approach for evidence-theory-based reliability design optimization. Structural and Multidisciplinary Optimization. 56(3). 647–661. 40 indexed citations
7.
Jiang, C., et al.. (2017). A new uncertainty propagation method for problems with parameterized probability-boxes. Reliability Engineering & System Safety. 172. 64–73. 52 indexed citations
8.
Jiang, C., et al.. (2015). A time-variant reliability analysis method for structural systems based on stochastic process discretization. International Journal of Mechanics and Materials in Design. 13(2). 173–193. 36 indexed citations
9.
Jiang, C., Jing Zheng, Bingyu Ni, & Xu Han. (2015). A Probabilistic and Interval Hybrid Reliability Analysis Method for Structures with Correlated Uncertain Parameters. International Journal of Computational Methods. 12(4). 1540006–1540006. 28 indexed citations
10.
Han, Xu, et al.. (2015). An efficient uncertainty propagation method for parameterized probability boxes. Acta Mechanica. 227(3). 633–649. 29 indexed citations
11.
Jiang, C., et al.. (2014). Interval Uncertain Optimization of Vehicle Suspension forRide Comfort. Computer Modeling in Engineering & Sciences. 98(4). 443–467. 6 indexed citations
12.
Jiang, C., et al.. (2014). A new nonlinear interval programming method for uncertain problems with dependent interval variables. European Journal of Operational Research. 238(1). 245–253. 70 indexed citations
13.
Tao, Yourui, Xu Han, Shuyong Duan, & C. Jiang. (2013). Reliability analysis for multidisciplinary systems with the mixture of epistemic and aleatory uncertainties. International Journal for Numerical Methods in Engineering. 97(1). 68–78. 7 indexed citations
14.
Jiang, C., et al.. (2012). A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures. Journal of Mechanical Design. 134(3). 90 indexed citations
15.
Jiang, C., et al.. (2011). A New Interval Comparison Relation and Application in Interval Number Programming for Uncertain Problems. Cmc-computers Materials & Continua. 27(3). 275–304. 22 indexed citations
16.
Jiang, C., et al.. (2011). An Interval Optimization Method Considering the Dependence between Uncertain Parameters. Computer Modeling in Engineering & Sciences. 74(1). 65–82. 3 indexed citations
17.
Jiang, C., et al.. (2011). AN EFFICIENT OPTIMIZATION METHOD FOR UNCERTAIN PROBLEMS BASED ON NON-PROBABILISTIC INTERVAL MODEL. International Journal of Computational Methods. 8(4). 837–850. 14 indexed citations
18.
Jiang, C., et al.. (2011). Structural reliability analysis based on random distributions with interval parameters. Computers & Structures. 89(23-24). 2292–2302. 156 indexed citations
19.
Jiang, C., et al.. (2008). Uncertain optimization of composite laminated plates using a nonlinear interval number programming method. Computers & Structures. 86(17-18). 1696–1703. 52 indexed citations
20.
Chen, Q., C. Jiang, Wei Qiu, & James D. McCalley. (2006). Probability Models for Estimating the Probabilities of Cascading Outages in High-Voltage Transmission Network. IEEE Transactions on Power Systems. 21(3). 1423–1431. 45 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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