Enying Li

1.0k total citations
50 papers, 852 citations indexed

About

Enying Li is a scholar working on Computational Theory and Mathematics, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Enying Li has authored 50 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 16 papers in Mechanical Engineering and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Enying Li's work include Advanced Multi-Objective Optimization Algorithms (25 papers), Probabilistic and Robust Engineering Design (16 papers) and Structural Health Monitoring Techniques (8 papers). Enying Li is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (25 papers), Probabilistic and Robust Engineering Design (16 papers) and Structural Health Monitoring Techniques (8 papers). Enying Li collaborates with scholars based in China and United Kingdom. Enying Li's co-authors include Hu Wang, G. Y. Li, Guangyao Li, Fan Ye, Zhihua Zhong, Guangyao Li, G.Y. Li, Fan Ye, Lei Chen and Yong Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Enying Li

50 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enying Li China 20 320 308 233 230 219 50 852
Christian Gogu France 21 274 0.9× 240 0.8× 316 1.4× 247 1.1× 301 1.4× 59 1.1k
Rajan Filomeno Coelho Belgium 18 201 0.6× 408 1.3× 299 1.3× 142 0.6× 483 2.2× 69 1.0k
Dong-Hoon Choi South Korea 22 644 2.0× 317 1.0× 172 0.7× 357 1.6× 338 1.5× 92 1.3k
Leshi Shu China 21 464 1.4× 468 1.5× 355 1.5× 100 0.4× 109 0.5× 64 1.1k
Catherine Knopf‐Lenoir France 12 253 0.8× 166 0.5× 143 0.6× 210 0.9× 138 0.6× 28 698
Yoshihiro Kanno Japan 23 219 0.7× 483 1.6× 372 1.6× 303 1.3× 1.1k 5.0× 108 1.5k
Sharon L. Padula United States 17 90 0.3× 397 1.3× 392 1.7× 88 0.4× 234 1.1× 54 1.1k
Yunwen Feng China 14 172 0.5× 103 0.3× 351 1.5× 223 1.0× 162 0.7× 61 755
Raymond M. Kolonay United States 18 89 0.3× 120 0.4× 140 0.6× 132 0.6× 216 1.0× 90 846
Tingli Xie China 14 223 0.7× 110 0.4× 115 0.5× 154 0.7× 60 0.3× 34 727

Countries citing papers authored by Enying Li

Since Specialization
Citations

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

Fields of papers citing papers by Enying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Enying Li. A scholar is included among the top collaborators of Enying Li 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 Enying Li. Enying Li 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.
Li, Enying, Jiarui Niu, & Hu Wang. (2024). A fast calculation method for dynamic topology optimization based on hybrid spectral element method. Engineering Analysis with Boundary Elements. 169. 106049–106049. 1 indexed citations
2.
Wang, Hu, et al.. (2023). A ranking prediction strategy assisted automatic model selection method. Advanced Engineering Informatics. 57. 102068–102068. 5 indexed citations
3.
Li, Enying, et al.. (2023). An ensemble-adaptive tree-based chain framework for multi-target regression problems. Information Sciences. 653. 119769–119769. 4 indexed citations
4.
Wang, Hu, et al.. (2022). Data-driven inverse method with uncertainties for path parameters of variable stiffness composite laminates. Structural and Multidisciplinary Optimization. 65(3). 5 indexed citations
5.
Liu, Juanjuan, et al.. (2020). An efficient auxiliary projection‐based multigrid isogeometric reanalysis method and its application in an optimization framework. International Journal for Numerical Methods in Engineering. 121(13). 2857–2873. 5 indexed citations
6.
Li, Enying, et al.. (2020). A surrogate assisted thermal optimization framework for design of pin-fin heat sink for the platform inertial navigation system. Engineering Optimization. 53(1). 145–164. 7 indexed citations
7.
Li, Enying, et al.. (2019). A global sensitivity analysis-assisted sequential optimization tool for plant-fin heat sink design. Engineering Computations. 37(2). 591–614. 3 indexed citations
8.
Li, Qidi, et al.. (2019). An efficient D-vine copula-based coupling uncertainty analysis for variable-stiffness composites. Composite Structures. 219. 221–241. 5 indexed citations
9.
Li, Enying. (2017). Fast cylinder variable-stiffness design by using Kriging-based hybrid aggressive space mapping method. Advances in Engineering Software. 114. 215–226. 11 indexed citations
10.
Wang, Hu, Fan Ye, Lei Chen, & Enying Li. (2016). Sheet metal forming optimization by using surrogate modeling techniques. Chinese Journal of Mechanical Engineering. 30(1). 22–36. 33 indexed citations
11.
Wang, Hu, et al.. (2016). A fast uncertainty analysis for material nonlinear problems based on reanalysis and semi-analytic strategy. Advances in Engineering Software. 102. 1–13. 3 indexed citations
12.
Li, Enying, et al.. (2016). Fast variable stiffness composite cylinder uncertainty analysis by using reanalysis assisted Copula function. SHILAP Revista de lepidopterología. 80. 10006–10006. 2 indexed citations
13.
14.
Li, Enying, Hu Wang, & Fan Ye. (2016). Two-level Multi-surrogate Assisted Optimization method for high dimensional nonlinear problems. Applied Soft Computing. 46. 26–36. 30 indexed citations
15.
Wang, Hu, et al.. (2015). Surrogate-assisted Bayesian inference inverse material identification method and application to advanced high strength steel. Inverse Problems in Science and Engineering. 24(7). 1133–1161. 17 indexed citations
16.
Wang, Hu, Enying Li, & Guangyao Li. (2013). A Parallel Reanalysis Method Based on Approximate Inverse Matrix for Complex Engineering Problems. Journal of Mechanical Design. 135(8). 21 indexed citations
17.
Wang, Hu, Enying Li, & G. Y. Li. (2010). Probability-based least square support vector regression metamodeling technique for crashworthiness optimization problems. Computational Mechanics. 47(3). 251–263. 25 indexed citations
18.
Wang, Hu, et al.. (2009). Parallel boundary and best neighbor searching sampling algorithm for drawbead design optimization in sheet metal forming. Structural and Multidisciplinary Optimization. 41(2). 309–324. 34 indexed citations
19.
Li, Enying. (2009). Research on Intelligent Sampling Based Metamodel Optimization and Its Applications in Forming. Journal of Mechanical Engineering. 45(8). 210–210. 1 indexed citations
20.
Wang, Hu, Enying Li, G. Y. Li, & Zhihua Zhong. (2008). A metamodel optimization methodology based on multi-level fuzzy clustering space reduction strategy and its applications. Computers & Industrial Engineering. 55(2). 503–532. 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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