Wanxin He

537 total citations
25 papers, 431 citations indexed

About

Wanxin He is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Wanxin He has authored 25 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics, Probability and Uncertainty, 11 papers in Computational Theory and Mathematics and 9 papers in Civil and Structural Engineering. Recurrent topics in Wanxin He's work include Probabilistic and Robust Engineering Design (21 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Structural Health Monitoring Techniques (8 papers). Wanxin He is often cited by papers focused on Probabilistic and Robust Engineering Design (21 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Structural Health Monitoring Techniques (8 papers). Wanxin He collaborates with scholars based in China, United Kingdom and Singapore. Wanxin He's co-authors include Gang Li, Yan Zeng, Changting Zhong, Zeng Meng, Gang Li, Peng Hao, Haijiang Li, Gang Zhao, G. Li and Ye Liu and has published in prestigious journals such as Expert Systems with Applications, Composites Part B Engineering and Mechanical Systems and Signal Processing.

In The Last Decade

Wanxin He

24 papers receiving 415 citations

Peers

Wanxin He

SPU

CSE

CTM

Shiyuan Yang China

Zhiyuan Lv China

Zhangchun Tang China

Bifeng Song China

Zhou Jian-hua China

Haodong Zhao China

Harok Bae United States

Inseok Park South Korea

Guoqiang Cai China

Amandeep Singh United States

Shiyuan Yang China

Wanxin He

214 ×0.8

SPU

125 ×0.8

CSE

95 ×0.7

CTM

54 ×0.6

136 ×1.7

Citations per year, relative to Wanxin He Wanxin He (= 1×) peers Shiyuan Yang

Countries citing papers authored by Wanxin He

Since Specialization

Citations

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

Fields of papers citing papers by Wanxin He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanxin He

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

All Works

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20 of 20 papers shown

Wang, Qi, Wanxin He, Yu‐Heng Deng, et al.. (2025). Machine learning-driven interfacial characterization and dielectric breakdown prediction in polymer nanocomposites. Composites Part B Engineering. 296. 112226–112226. 6 indexed citations

Li, Gang, et al.. (2024). A data-driven maximum entropy method for probability uncertainty analysis based on the B-spline theory. Probabilistic Engineering Mechanics. 78. 103688–103688. 1 indexed citations

He, Wanxin, et al.. (2024). A new polynomial chaos expansion method for uncertainty analysis with aleatory and epistemic uncertainties. Structural and Multidisciplinary Optimization. 67(10).

He, Wanxin, et al.. (2024). An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning. Structural Safety. 108. 102450–102450. 5 indexed citations

He, Wanxin & Gang Li. (2023). A data-driven B-spline-enhanced Kriging method for uncertainty quantification based on Bayesian compressive sensing. Mechanical Systems and Signal Processing. 208. 111005–111005. 3 indexed citations

He, Wanxin, et al.. (2023). A novel maximum entropy method based on the B-spline theory and the low-discrepancy sequence for complex probability distribution reconstruction. Reliability Engineering & System Safety. 243. 109909–109909. 15 indexed citations

Zhong, Changting, Gang Li, Zeng Meng, Haijiang Li, & Wanxin He. (2023). A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection. Computers in Biology and Medicine. 153. 106520–106520. 39 indexed citations

Meng, Zeng, et al.. (2023). New bubble sampling method for reliability analysis. Structural and Multidisciplinary Optimization. 66(8). 10 indexed citations

He, Wanxin, Gang Li, Changting Zhong, & Yixuan Wang. (2023). A novel data-driven sparse polynomial chaos expansion for high-dimensional problems based on active subspace and sparse Bayesian learning. Structural and Multidisciplinary Optimization. 66(1). 6 indexed citations

10.

Li, Gang, Yixuan Wang, Yan Zeng, & Wanxin He. (2023). An Improved Fractional Moment Maximum Entropy Method With Polynomial Fitting. Journal of Mechanical Design. 146(6). 2 indexed citations

11.

He, Wanxin, Gang Zhao, Gang Li, & Ye Liu. (2022). An adaptive dimension-reduction method-based sparse polynomial chaos expansion via sparse Bayesian learning and Bayesian model averaging. Structural Safety. 97. 102223–102223. 11 indexed citations

12.

Liu, Ye, Gang Zhao, Gang Li, Wanxin He, & Changting Zhong. (2022). Analytical robust design optimization based on a hybrid surrogate model by combining polynomial chaos expansion and Gaussian kernel. Structural and Multidisciplinary Optimization. 65(11). 9 indexed citations

13.

Zhong, Changting, Gang Li, Zeng Meng, & Wanxin He. (2022). Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems. Expert Systems with Applications. 215. 119303–119303. 47 indexed citations

14.

He, Wanxin, et al.. (2021). A novel polynomial dimension decomposition method based on sparse Bayesian learning and Bayesian model averaging. Mechanical Systems and Signal Processing. 169. 108613–108613. 4 indexed citations

15.

Li, G., et al.. (2021). A new maximum entropy method for estimation of multimodal probability density function. Applied Mathematical Modelling. 102. 137–152. 25 indexed citations

16.

He, Wanxin, Hua Yang, Gang Zhao, Yan Zeng, & Gang Li. (2020). A Quantile-Based SORA Method Using Maximum Entropy Method With Fractional Moments. Journal of Mechanical Design. 143(4). 10 indexed citations

17.

He, Wanxin, Peng Hao, & Gang Li. (2020). A novel approach for reliability analysis with correlated variables based on the concepts of entropy and polynomial chaos expansion. Mechanical Systems and Signal Processing. 146. 106980–106980. 21 indexed citations

18.

He, Wanxin, Gang Li, Peng Hao, & Yan Zeng. (2019). Maximum Entropy Method-Based Reliability Analysis With Correlated Input Variables via Hybrid Dimension-Reduction Method. Journal of Mechanical Design. 141(10). 27 indexed citations

19.

He, Wanxin, Yan Zeng, & Gang Li. (2019). A novel structural reliability analysis method via improved maximum entropy method based on nonlinear mapping and sparse grid numerical integration. Mechanical Systems and Signal Processing. 133. 106247–106247. 36 indexed citations

20.

Li, Gang, et al.. (2018). New maximum entropy-based algorithm for structural design optimization. Applied Mathematical Modelling. 66. 26–40. 12 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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