Bingyu Ni

1.4k total citations
44 papers, 1.0k citations indexed

About

Bingyu Ni is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Bingyu Ni has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics, Probability and Uncertainty, 21 papers in Civil and Structural Engineering and 20 papers in Computational Theory and Mathematics. Recurrent topics in Bingyu Ni's work include Probabilistic and Robust Engineering Design (39 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Structural Health Monitoring Techniques (12 papers). Bingyu Ni is often cited by papers focused on Probabilistic and Robust Engineering Design (39 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Structural Health Monitoring Techniques (12 papers). Bingyu Ni collaborates with scholars based in China, United States and Australia. Bingyu Ni's co-authors include Chao Jiang, Xu Han, Yourui Tao, Zhiliang Huang, Jie Liu, Jing Zheng, Dequan Zhang, Wuliu Tian, J. Liu and Chao Jiang and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Energy and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Bingyu Ni

41 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingyu Ni China 18 783 552 286 162 136 44 1.0k
Yunlong Li China 21 714 0.9× 634 1.1× 253 0.9× 191 1.2× 146 1.1× 72 1.2k
Chao Dang China 20 822 1.0× 520 0.9× 210 0.7× 191 1.2× 112 0.8× 55 1.0k
Z. Zhang China 15 838 1.1× 508 0.9× 337 1.2× 174 1.1× 61 0.4× 19 1.0k
C. Jiang China 20 1.0k 1.3× 625 1.1× 490 1.7× 229 1.4× 102 0.8× 29 1.2k
Yan Shi China 19 779 1.0× 390 0.7× 361 1.3× 176 1.1× 79 0.6× 78 1.2k
Diego A. Álvarez Colombia 15 607 0.8× 474 0.9× 185 0.6× 154 1.0× 90 0.7× 29 873
Changcong Zhou China 18 628 0.8× 370 0.7× 208 0.7× 232 1.4× 78 0.6× 70 785
Dimitris G. Giovanis United States 15 435 0.6× 345 0.6× 177 0.6× 178 1.1× 49 0.4× 34 819
Ramesh Rebba United States 9 512 0.7× 277 0.5× 174 0.6× 103 0.6× 97 0.7× 15 712

Countries citing papers authored by Bingyu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Bingyu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyu Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Bingyu Ni. A scholar is included among the top collaborators of Bingyu Ni 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 Bingyu Ni. Bingyu Ni 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.
Wan, Detao, et al.. (2025). A novel PINNs based surrogate model for multi-objective reliability-based design optimization of airfoil-shaped printed circuit heat exchangers. International Communications in Heat and Mass Transfer. 164. 108954–108954. 3 indexed citations
2.
3.
Ni, Bingyu, et al.. (2025). A Neumann expansion-based sequential simulation method for structural interval finite element analysis. Computers & Structures. 316. 107892–107892.
4.
Ni, Bingyu, et al.. (2024). The first-order time-variant reliability expansion method. Structural Safety. 109. 102484–102484. 9 indexed citations
5.
Wang, Shaohua, et al.. (2024). An interval finite element method based on bilevel Kriging model. Chinese Journal of Aeronautics. 37(12). 1–11. 2 indexed citations
6.
Ni, Bingyu, et al.. (2024). A nonlinear interval finite element method for elastic–plastic problems with spatially uncertain parameters. Computers & Structures. 303. 107476–107476. 2 indexed citations
7.
Ni, Bingyu, et al.. (2023). An interval iterative method for response bounds analysis of structures with spatially uncertain parameters. Computers & Structures. 282. 107036–107036. 8 indexed citations
8.
Ni, Bingyu, et al.. (2023). Optimization of Personnel Work Paths During Decommissioning of Nuclear Facilities. Nuclear Science and Engineering. 198(8). 1668–1681. 2 indexed citations
9.
Hu, Lin, et al.. (2022). The Impact of Sanming Healthcare Reform on Antibiotic Appropriate Use in County Hospitals in China. Frontiers in Public Health. 10. 936719–936719. 9 indexed citations
10.
Tian, Wuliu, et al.. (2020). An interval robust design optimization method and its application in heat transfer problems. Engineering Optimization. 53(10). 1805–1818. 4 indexed citations
11.
Ni, Bingyu, Chao Jiang, & Zhiliang Huang. (2018). Discussions on non-probabilistic convex modelling for uncertain problems. Applied Mathematical Modelling. 59. 54–85. 74 indexed citations
12.
Ni, Bingyu, et al.. (2018). Uncertainty analysis and optimization of sinter cooling process for waste heat recovery. Applied Thermal Engineering. 150. 111–120. 15 indexed citations
13.
Jiang, Chao, et al.. (2018). Global sensitivity analysis and multi-objective optimization design of temperature field of sinter cooler based on energy value. Applied Thermal Engineering. 143. 759–766. 19 indexed citations
14.
Zheng, Jing, Zhen Luo, Chao Jiang, Bingyu Ni, & Jinglai Wu. (2017). Non-probabilistic reliability-based topology optimization with multidimensional parallelepiped convex model. Structural and Multidisciplinary Optimization. 57(6). 2205–2221. 48 indexed citations
15.
Jiang, Chao, et al.. (2017). A Monte Carlo simulation method for non-random vibration analysis. Acta Mechanica. 228(7). 2631–2653. 16 indexed citations
16.
Ni, Bingyu, et al.. (2016). Generalization of the super ellipsoid concept and its application in mechanics. Applied Mathematical Modelling. 40(21-22). 9427–9444. 28 indexed citations
17.
Jiang, C., Jing Zheng, Bingyu Ni, & Xu Han. (2015). A Probabilistic and Interval Hybrid Reliability Analysis Method for Structures with Correlated Uncertain Parameters. International Journal of Computational Methods. 12(4). 1540006–1540006. 28 indexed citations
18.
Jiang, Chao, et al.. (2015). A Vine-Copula-Based Reliability Analysis Method for Structures With Multidimensional Correlation. Journal of Mechanical Design. 137(6). 77 indexed citations
19.
Ni, Bingyu, Chao Jiang, & Xu Han. (2015). An improved multidimensional parallelepiped non-probabilistic model for structural uncertainty analysis. Applied Mathematical Modelling. 40(7-8). 4727–4745. 83 indexed citations
20.
Jiang, Chao, Bingyu Ni, Xu Han, & Yourui Tao. (2013). Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems. Computer Methods in Applied Mechanics and Engineering. 268. 656–676. 139 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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