Liye Lv

696 total citations
27 papers, 516 citations indexed

About

Liye Lv is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Liye Lv has authored 27 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 14 papers in Statistics, Probability and Uncertainty and 13 papers in Management Science and Operations Research. Recurrent topics in Liye Lv's work include Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (13 papers) and Optimal Experimental Design Methods (13 papers). Liye Lv is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (13 papers) and Optimal Experimental Design Methods (13 papers). Liye Lv collaborates with scholars based in China, United States and South Korea. Liye Lv's co-authors include Xueguan Song, Sun We, Jie Zhang, Maolin Shi, Jieling Li, Lizhang Xu, Wei Sun, Shuo Wang, Yongliang Yuan and Xiaobang Wang and has published in prestigious journals such as Annals of the New York Academy of Sciences, Knowledge-Based Systems and Applied Sciences.

In The Last Decade

Liye Lv

24 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liye Lv China	12	250	200	118	111	99	27	516
Won‐Sun Ruy South Korea	10	242 1.0×	248 1.2×	71 0.6×	190 1.7×	52 0.5×	45	576
Stephen J. Leary United Kingdom	8	331 1.3×	181 0.9×	146 1.2×	61 0.5×	73 0.7×	9	521
Brett Wujek United States	10	311 1.2×	213 1.1×	111 0.9×	101 0.9×	91 0.9×	18	477
Ravindra V. Tappeta United States	10	388 1.6×	209 1.0×	158 1.3×	94 0.8×	107 1.1×	25	616
Yizhong Wu China	11	215 0.9×	140 0.7×	94 0.8×	44 0.4×	46 0.5×	37	328
Shiyuan Yang China	9	95 0.4×	214 1.1×	43 0.4×	125 1.1×	131 1.3×	14	503
Tobias Wagner Germany	12	428 1.7×	126 0.6×	183 1.6×	33 0.3×	80 0.8×	31	657
Hong-Zhong Huang China	7	79 0.3×	241 1.2×	146 1.2×	68 0.6×	123 1.2×	12	560
Jing Zheng China	16	301 1.2×	382 1.9×	130 1.1×	434 3.9×	78 0.8×	46	815

Countries citing papers authored by Liye Lv

Since Specialization

Citations

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

Fields of papers citing papers by Liye Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liye Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Liye Lv. A scholar is included among the top collaborators of Liye Lv 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 Liye Lv. Liye Lv 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

Lv, Liye, et al.. (2025). A real‐time defect detection algorithm for steel plate surfaces: the StarNet‐GSConv‐RetC3 detection transformer (SSR‐DETR). Annals of the New York Academy of Sciences. 1548(1). 277–288.

Lv, Liye, et al.. (2025). Unmanned forklift pallet positioning algorithm based on an improved human pose estimation model. Annals of the New York Academy of Sciences. 1551(1). 294–311.

Lv, Liye, et al.. (2024). GVP-RRT: a grid based variable probability Rapidly-exploring Random Tree algorithm for AGV path planning. Complex & Intelligent Systems. 10(6). 8273–8286. 4 indexed citations

Lv, Liye, et al.. (2024). Research on Multi-Objective Low-Carbon Flexible Job Shop Scheduling Based on Improved NSGA-II. Machines. 12(9). 590–590. 4 indexed citations

Lv, Liye, et al.. (2024). Grid-Based Non-Uniform Probabilistic Roadmap-Based AGV Path Planning in Narrow Passages and Complex Environments. Electronics. 13(1). 225–225. 2 indexed citations

Li, Kunpeng, Qingye Li, Yong Pang, et al.. (2023). Multi-fidelity information fusion with hierarchical surrogate guided by feature mapping. Knowledge-Based Systems. 275. 110693–110693. 6 indexed citations

Li, Kunpeng, Qingye Li, Liye Lv, et al.. (2023). A nonlinearity integrated bi-fidelity surrogate model based on nonlinear mapping. Structural and Multidisciplinary Optimization. 66(9). 6 indexed citations

Wang, Shuo, Xiaonan Lai, Xiwang He, et al.. (2023). Optimal sensor placement for digital twin based on mutual information and correlation with multi-fidelity data. Engineering With Computers. 40(2). 1289–1308. 12 indexed citations

Li, Kunpeng, Xiwang He, Liye Lv, et al.. (2023). A Single-Fidelity Surrogate Modeling Method Based on Nonlinearity Integrated Multi-Fidelity Surrogate. Journal of Mechanical Design. 145(9). 2 indexed citations

10.

Wang, Shuo, et al.. (2022). Modified Multifidelity Surrogate Model Based on Radial Basis Function with Adaptive Scale Factor. Chinese Journal of Mechanical Engineering. 35(1). 12 indexed citations

11.

Lv, Liye, et al.. (2021). Number of DoE Required for Estimating Different Quality Surrogate. International Journal of Computational Methods. 19(7). 1 indexed citations

12.

Zhang, Yang, et al.. (2021). A fast active learning method in design of experiments: multipeak parallel adaptive infilling strategy based on expected improvement. Structural and Multidisciplinary Optimization. 64(3). 1259–1284. 7 indexed citations

13.

Wang, Shuo, et al.. (2021). A multi-fidelity surrogate model based on moving least squares: fusing different fidelity data for engineering design. Structural and Multidisciplinary Optimization. 64(6). 3637–3652. 32 indexed citations

14.

Wang, Shuo, et al.. (2020). An adaptive resistance and stamina strategy-based dragonfly algorithm for solving engineering optimization problems. Engineering Computations. 38(5). 2228–2251. 22 indexed citations

15.

Lv, Liye, Xueguan Song, & Sun We. (2020). Modify Leave-One-Out Cross Validation by Moving Validation Samples around Random Normal Distributions: Move-One-Away Cross Validation. Applied Sciences. 10(7). 2448–2448. 5 indexed citations

16.

Lv, Liye, et al.. (2020). Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Squares. Journal of Mechanical Design. 143(2). 21 indexed citations

17.

Shi, Maolin, Liye Lv, Sun We, & Xueguan Song. (2020). A multi-fidelity surrogate model based on support vector regression. Structural and Multidisciplinary Optimization. 61(6). 2363–2375. 74 indexed citations

18.

Lv, Liye, et al.. (2020). Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer. Frontiers of Mechanical Engineering. 15(3). 406–416. 21 indexed citations

19.

Liu, Yin, et al.. (2019). A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization. 2. 103–106. 2 indexed citations

20.

Yuan, Yongliang, Liye Lv, Xiaobang Wang, & Xueguan Song. (2019). Optimization of a frame structure using the Coulomb force search strategy-based dragonfly algorithm. Engineering Optimization. 52(6). 915–931. 28 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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