Ning‐Cong Xiao

2.2k total citations · 1 hit paper
62 papers, 1.8k citations indexed

About

Ning‐Cong Xiao is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Ning‐Cong Xiao has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Statistics, Probability and Uncertainty, 22 papers in Computational Theory and Mathematics and 21 papers in Civil and Structural Engineering. Recurrent topics in Ning‐Cong Xiao's work include Probabilistic and Robust Engineering Design (40 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Structural Health Monitoring Techniques (13 papers). Ning‐Cong Xiao is often cited by papers focused on Probabilistic and Robust Engineering Design (40 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Structural Health Monitoring Techniques (13 papers). Ning‐Cong Xiao collaborates with scholars based in China, Canada and United States. Ning‐Cong Xiao's co-authors include Chengning Zhou, Ming J. Zuo, Hong‐Zhong Huang, Kai Yuan, Yan‐Feng Li, Zhonglai Wang, Liping He, Tongdan Jin, Wei Guo and Libin Duan and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and Engineering Structures.

In The Last Decade

Ning‐Cong Xiao

60 papers receiving 1.7k citations

Hit Papers

A new adaptive sequential sampling method to construct su... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning‐Cong Xiao China 21 1.3k 574 521 411 338 62 1.8k
Mohsen Rashki Iran 19 648 0.5× 525 0.9× 372 0.7× 132 0.3× 198 0.6× 46 1.3k
Luca Podofillini Switzerland 25 1.2k 1.0× 162 0.3× 65 0.1× 972 2.4× 86 0.3× 56 2.0k
Michael Hanss Germany 17 683 0.5× 526 0.9× 200 0.4× 47 0.1× 139 0.4× 71 1.3k
Arnljot Høyland United States 8 710 0.6× 138 0.2× 60 0.1× 880 2.1× 102 0.3× 11 1.7k
Zhiguo Zeng France 21 701 0.6× 246 0.4× 23 0.0× 646 1.6× 127 0.4× 63 1.4k
Yu Zhao China 26 616 0.5× 169 0.3× 38 0.1× 1.3k 3.1× 184 0.5× 96 2.0k
Dimitri Kececioglu United States 17 442 0.4× 127 0.2× 44 0.1× 497 1.2× 220 0.7× 68 1.3k
Hiromitsu Kumamoto Japan 18 438 0.3× 132 0.2× 63 0.1× 337 0.8× 31 0.1× 80 1.3k
Marko Čepin Slovenia 22 857 0.7× 137 0.2× 41 0.1× 846 2.1× 69 0.2× 64 1.7k
Dhanesh Padmanabhan United States 10 449 0.4× 136 0.2× 372 0.7× 90 0.2× 50 0.1× 15 702

Countries citing papers authored by Ning‐Cong Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ning‐Cong Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning‐Cong Xiao. 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 Ning‐Cong Xiao. The network helps show where Ning‐Cong Xiao may publish in the future.

Co-authorship network of co-authors of Ning‐Cong Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ning‐Cong Xiao. A scholar is included among the top collaborators of Ning‐Cong Xiao 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 Ning‐Cong Xiao. Ning‐Cong Xiao 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.
Liu, Hui, et al.. (2024). A hybrid approach based on deep neural network and double exponential model for remaining useful life prediction. Expert Systems with Applications. 249. 123563–123563. 25 indexed citations
2.
Xiao, Ning‐Cong, et al.. (2024). A new active learning surrogate model for time- and space-dependent system reliability analysis. Reliability Engineering & System Safety. 253. 110536–110536. 19 indexed citations
3.
Yuan, Kai, et al.. (2024). AK-SYS-IE: A novel adaptive Kriging-based method for system reliability assessment combining information entropy. Reliability Engineering & System Safety. 246. 110070–110070. 13 indexed citations
4.
Xiao, Ning‐Cong, et al.. (2024). Expected lifetime prediction for time- and space-dependent structural systems based on active learning surrogate model. Computer Methods in Applied Mechanics and Engineering. 429. 117150–117150. 7 indexed citations
5.
Xiao, Ning‐Cong, et al.. (2020). A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models. Computer Methods in Applied Mechanics and Engineering. 372. 113336–113336. 84 indexed citations
6.
Xiao, Ning‐Cong, et al.. (2020). Adaptive sampling with neural networks for system reliability analysis. 1–5. 1 indexed citations
7.
Duan, Libin, Haobin Jiang, Huanhuan Li, & Ning‐Cong Xiao. (2019). Crashworthiness optimization of VRB thin-walled structures under manufacturing constraints by the eHCA-VRB algorithm. Applied Mathematical Modelling. 80. 126–150. 23 indexed citations
8.
Yuan, Kai, Ning‐Cong Xiao, Zhonglai Wang, & Kun Shang. (2019). System reliability analysis by combining structure function and active learning kriging model. Reliability Engineering & System Safety. 195. 106734–106734. 69 indexed citations
9.
Xiao, Ning‐Cong, Ming J. Zuo, & Wei Guo. (2018). Efficient reliability analysis based on adaptive sequential sampling design and cross-validation. Applied Mathematical Modelling. 58. 404–420. 93 indexed citations
10.
Tang, Zhangchun, et al.. (2017). A New Method for Finding Modules of Fault Trees. 31. 725–730. 1 indexed citations
11.
Duan, Libin, Ning‐Cong Xiao, Guangyao Li, et al.. (2016). Bending analysis and design optimisation of tailor-rolled blank thin-walled structures with top-hat sections. International Journal of Crashworthiness. 22(3). 227–242. 20 indexed citations
12.
Duan, Libin, et al.. (2016). Design optimization of tailor-rolled blank thin-walled structures based on -support vector regression technique and genetic algorithm. Engineering Optimization. 49(7). 1148–1165. 26 indexed citations
13.
Mi, Jinhua, et al.. (2013). System reliability modeling and assessment for solar array drive assembly based on bayesian networks. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 15(2). 117–122. 11 indexed citations
14.
Mi, Jinhua, et al.. (2013). Fault tree analysis of train rear-end collision accident considering common cause failure. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 15(4). 8 indexed citations
15.
Xiao, Ning‐Cong, et al.. (2012). Posybilistyczna analiza niezawodnościowa systemu naprawialnego z pominiętym lub opóźnionym efektem uszkodzenia. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 195–202. 1 indexed citations
16.
Huang, Hong‐Zhong, et al.. (2012). Nowa metoda analizy drzewa uszkodzeń: rozmyta analiza dynamicznego drzewa uszkodzeń. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 208–214. 1 indexed citations
17.
Xiao, Ning‐Cong, Hong‐Zhong Huang, Zhonglai Wang, Yu Liu, & Xiaoling Zhang. (2012). Unified uncertainty analysis by the mean value first order saddlepoint approximation. Structural and Multidisciplinary Optimization. 46(6). 803–812. 62 indexed citations
18.
Zhang, Xiaoling, Hong‐Zhong Huang, Zhonglai Wang, Ning‐Cong Xiao, & Yan‐Feng Li. (2012). UNCERTAINTY ANALYSIS METHOD BASED ON A COMBINATION OF THE MAXIMUM ENTROPY PRINCIPLE AND THE POINT ESTIMATION METHOD METODA ANALIzY NIEPEwNOśCI OPARTA NA POłąCzENIU zASADY MAkSYMALNEj ENTROPII I METODY OCENY PUNkTOwEj. 1 indexed citations
19.
Wang, Zhonglai, et al.. (2011). Reliability-based design of a spindle based on random and interval variables. 39. 891–897. 1 indexed citations
20.
Xiao, Ning‐Cong, Hong‐Zhong Huang, Yan‐Feng Li, Liping He, & Tongdan Jin. (2011). Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Engineering Failure Analysis. 18(4). 1162–1170. 227 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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