Cao Tong

540 total citations · 1 hit paper
10 papers, 451 citations indexed

About

Cao Tong is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Cao Tong has authored 10 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 6 papers in Statistics, Probability and Uncertainty and 3 papers in Control and Systems Engineering. Recurrent topics in Cao Tong's work include Advanced Multi-Objective Optimization Algorithms (6 papers), Probabilistic and Robust Engineering Design (6 papers) and Optimal Experimental Design Methods (3 papers). Cao Tong is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (6 papers), Probabilistic and Robust Engineering Design (6 papers) and Optimal Experimental Design Methods (3 papers). Cao Tong collaborates with scholars based in China and Cuba. Cao Tong's co-authors include Zhili Sun, Jian Wang, Rui Li, Qibin Wang, Shuang Wang, Jinguo Liu, Kun Zhang, Qing Wang, Zhen Jing and Yu Xing and has published in prestigious journals such as Reliability Engineering & System Safety, Structural and Multidisciplinary Optimization and Mathematical Problems in Engineering.

In The Last Decade

Cao Tong

10 papers receiving 443 citations

Hit Papers

LIF: A new Kriging based learning function and its applic... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. LIF: A new Kriging based learning function and its application to structural reliability analysis
    2016 350 citations Zhili Sun, Jian Wang et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cao Tong China 4 404 256 172 119 77 10 451
Xiaoxu Huang China 5 334 0.8× 166 0.6× 170 1.0× 89 0.7× 65 0.8× 6 389
Yishang Zhang China 8 479 1.2× 278 1.1× 196 1.1× 159 1.3× 91 1.2× 10 534
Xinpeng Wei China 11 358 0.9× 208 0.8× 139 0.8× 92 0.8× 94 1.2× 20 465
Caiying Mi China 7 282 0.7× 177 0.7× 99 0.6× 96 0.8× 49 0.6× 15 327
John M. McFarland United States 6 274 0.7× 144 0.6× 102 0.6× 81 0.7× 64 0.8× 10 372
V. Dubourg France 3 510 1.3× 219 0.9× 225 1.3× 134 1.1× 105 1.4× 5 559
Meide Yang China 11 472 1.2× 272 1.1× 209 1.2× 87 0.7× 91 1.2× 17 550
Nicolas Relun France 5 569 1.4× 286 1.1× 241 1.4× 142 1.2× 139 1.8× 7 642

Countries citing papers authored by Cao Tong

Since Specialization
Citations

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

Fields of papers citing papers by Cao Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cao Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Cao Tong. A scholar is included among the top collaborators of Cao Tong 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 Cao Tong. Cao Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Tong, Cao, et al.. (2024). An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations. Structural and Multidisciplinary Optimization. 67(5). 3 indexed citations
3.
Tong, Cao, et al.. (2020). Optimization design of gear reducer based on multi-attribute decision making and reliability sensitivity. IOP Conference Series Materials Science and Engineering. 711(1). 12045–12045. 1 indexed citations
4.
Tong, Cao, Jian Wang, & Jinguo Liu. (2019). A Kriging‐Based Active Learning Algorithm for Mechanical Reliability Analysis with Time‐Consuming and Nonlinear Response. Mathematical Problems in Engineering. 2019(1). 5 indexed citations
5.
Tong, Cao, et al.. (2018). A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling. IOP Conference Series Earth and Environmental Science. 128. 12094–12094. 2 indexed citations
6.
Tong, Cao, et al.. (2018). Dynamic Reliability Analysis of Gear Vibration Response with Random Parameters. 241–245. 1 indexed citations
7.
8.
Sun, Zhili, Jian Wang, Rui Li, & Cao Tong. (2016). LIF: A new Kriging based learning function and its application to structural reliability analysis. Reliability Engineering & System Safety. 157. 152–165. 350 indexed citations breakdown →
9.
Tong, Cao, et al.. (2015). A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling. Journal of Mechanical Science and Technology. 29(8). 3183–3193. 81 indexed citations
10.
Tong, Cao, et al.. (2013). Retrieval and Analysis on the Sediment Concentration of the South Branch of the Yangtze Estuary Based on TM. Applied Mechanics and Materials. 353-356. 2763–2768. 1 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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