Chunyan Ling

992 total citations
39 papers, 733 citations indexed

About

Chunyan Ling is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Civil and Structural Engineering. According to data from OpenAlex, Chunyan Ling has authored 39 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics, Probability and Uncertainty, 16 papers in Safety, Risk, Reliability and Quality and 11 papers in Civil and Structural Engineering. Recurrent topics in Chunyan Ling's work include Probabilistic and Robust Engineering Design (34 papers), Reliability and Maintenance Optimization (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Chunyan Ling is often cited by papers focused on Probabilistic and Robust Engineering Design (34 papers), Reliability and Maintenance Optimization (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Chunyan Ling collaborates with scholars based in China and Hong Kong. Chunyan Ling's co-authors include Zhenzhou Lü, Zhenzhou Lü, Kaixuan Feng, Kai Cheng, Xiaobo Zhang, Way Kuo, Min Xie, Wanying Yun, Bo Sun and Minjie Wang and has published in prestigious journals such as PLoS ONE, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

In The Last Decade

Chunyan Ling

37 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyan Ling China 15 591 272 264 129 125 39 733
Xiukai Yuan China 15 584 1.0× 301 1.1× 190 0.7× 87 0.7× 158 1.3× 32 703
François Deheeger France 3 686 1.2× 291 1.1× 318 1.2× 190 1.5× 128 1.0× 3 772
Roland Schöbi Switzerland 8 596 1.0× 312 1.1× 253 1.0× 118 0.9× 97 0.8× 14 720
Diego A. Álvarez Colombia 15 607 1.0× 474 1.7× 185 0.7× 113 0.9× 106 0.8× 29 873
Nicolas Relun France 5 569 1.0× 241 0.9× 286 1.1× 142 1.1× 75 0.6× 7 642
Beiqing Huang United States 7 626 1.1× 241 0.9× 303 1.1× 139 1.1× 77 0.6× 11 688
Jean‐Marc Bourinet France 13 842 1.4× 431 1.6× 390 1.5× 204 1.6× 136 1.1× 32 1.0k
Yicheng Zhou China 13 468 0.8× 255 0.9× 266 1.0× 104 0.8× 62 0.5× 31 657
Harok Bae United States 11 525 0.9× 265 1.0× 204 0.8× 78 0.6× 63 0.5× 44 631
Ramesh Rebba United States 9 512 0.9× 277 1.0× 174 0.7× 90 0.7× 71 0.6× 15 712

Countries citing papers authored by Chunyan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Ling. A scholar is included among the top collaborators of Chunyan Ling 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 Chunyan Ling. Chunyan Ling 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.
Ling, Chunyan, Qi Xiang, Suxia Geng, et al.. (2025). Prediction and validation of anoikis-related genes in neuropathic pain using machine learning. PLoS ONE. 20(2). e0314773–e0314773. 1 indexed citations
2.
Yang, Lechang, et al.. (2023). Reliability Evaluation of an Imprecise Multistate System With Mixed Uncertainty. IEEE Transactions on Reliability. 73(1). 478–491. 20 indexed citations
3.
Ling, Chunyan, Lechang Yang, Kaixuan Feng, & Way Kuo. (2023). Survival signature based robust redundancy allocation under imprecise probability. Reliability Engineering & System Safety. 239. 109510–109510. 8 indexed citations
4.
Feng, Kaixuan, Zhenzhou Lü, Yixin Yang, et al.. (2023). Novel Kriging based learning function for system reliability analysis with correlated failure modes. Reliability Engineering & System Safety. 239. 109529–109529. 13 indexed citations
6.
Ling, Chunyan, et al.. (2022). A sequential two-stage approach based on variational Bayesian inference for reliability-redundancy allocation. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 238(1). 136–157.
7.
Ling, Chunyan, Way Kuo, & Min Xie. (2022). An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization. IEEE Transactions on Reliability. 72(3). 1243–1264. 38 indexed citations
8.
Ling, Chunyan, et al.. (2022). Multitype Optimal Component Allocation of Multicomponent Systems Considering Fuzzy State. IEEE Transactions on Fuzzy Systems. 31(7). 2197–2209.
9.
Ling, Chunyan, et al.. (2022). Support Vector Machine-Assisted Importance Sampling for Optimal Reliability Design. Applied Sciences. 12(24). 12750–12750. 1 indexed citations
10.
Ling, Chunyan, et al.. (2022). AdoR‐1 (Adenosine Receptor) Contributes to Protection against Paraquat‐Induced Oxidative Stress in Caenorhabditis elegans. Oxidative Medicine and Cellular Longevity. 2022(1). 1759009–1759009. 8 indexed citations
11.
Ling, Chunyan & Zhenzhou Lü. (2021). Compound kriging-based importance sampling for reliability analysis of systems with multiple failure modes. Engineering Optimization. 54(5). 805–829. 12 indexed citations
12.
Ling, Chunyan, Zhenzhou Lü, & Wenxin Zhang. (2021). Bayesian Support Vector Regression for Reliability-Based Design Optimization. AIAA Journal. 59(12). 5141–5157. 12 indexed citations
13.
Ling, Chunyan & Zhenzhou Lü. (2021). Importance analysis on failure credibility of the fuzzy structure. Journal of Intelligent & Fuzzy Systems. 40(6). 12339–12359. 2 indexed citations
14.
Ling, Chunyan, et al.. (2020). An efficient method for estimating fuzzy failure probability-based global fuzzy reliability sensitivity. Engineering Optimization. 53(4). 576–593. 2 indexed citations
15.
Ling, Chunyan, Zhenzhou Lü, & Kaixuan Feng. (2020). A novel extended crossing rate method for time-dependent hybrid reliability analysis under random and interval inputs. Engineering Optimization. 52(10). 1720–1742. 9 indexed citations
16.
Ling, Chunyan, Zhenzhou Lü, & Xiaobo Zhang. (2020). An efficient method based on AK-MCS for estimating failure probability function. Reliability Engineering & System Safety. 201. 106975–106975. 39 indexed citations
17.
Feng, Kaixuan, et al.. (2020). An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging. Structural and Multidisciplinary Optimization. 62(2). 771–785. 9 indexed citations
18.
Ling, Chunyan, Zhenzhou Lü, Bo Sun, & Minjie Wang. (2019). An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability. Fuzzy Sets and Systems. 387. 89–107. 36 indexed citations
19.
Ling, Chunyan & Zhenzhou Lü. (2019). Adaptive Kriging coupled with importance sampling strategies for time-variant hybrid reliability analysis. Applied Mathematical Modelling. 77. 1820–1841. 31 indexed citations
20.
Ling, Chunyan, Zhenzhou Lü, Kai Cheng, & Bo Sun. (2019). An efficient method for estimating global reliability sensitivity indices. Probabilistic Engineering Mechanics. 56. 35–49. 14 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

Rankless by CCL
2026