Mengge Yu

448 total citations
33 papers, 333 citations indexed

About

Mengge Yu is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Mengge Yu has authored 33 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aerospace Engineering, 19 papers in Environmental Engineering and 13 papers in Computational Mechanics. Recurrent topics in Mengge Yu's work include Aerodynamics and Fluid Dynamics Research (27 papers), Wind and Air Flow Studies (19 papers) and Fluid Dynamics and Vibration Analysis (13 papers). Mengge Yu is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (27 papers), Wind and Air Flow Studies (19 papers) and Fluid Dynamics and Vibration Analysis (13 papers). Mengge Yu collaborates with scholars based in China, Ukraine and United Kingdom. Mengge Yu's co-authors include Jiye Zhang, Weihua Zhang, Tian Li, Jiali Liu, Qian Zhang, Keyue Zhang, Jiali Liu, Dawei Liu, Huanming Chen and Jiye Zhang and has published in prestigious journals such as Applied Sciences, Journal of Wind Engineering and Industrial Aerodynamics and Journal of Fluids and Structures.

In The Last Decade

Mengge Yu

32 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengge Yu China 10 264 173 158 85 56 33 333
Dongrun Liu China 12 302 1.1× 231 1.3× 184 1.2× 166 2.0× 43 0.8× 35 407
Ben Diedrichs Sweden 10 334 1.3× 274 1.6× 202 1.3× 107 1.3× 49 0.9× 15 369
Yang Sui China 7 232 0.9× 135 0.8× 185 1.2× 67 0.8× 100 1.8× 11 361
Takehisa TAKAISHI Japan 14 584 2.2× 240 1.4× 469 3.0× 70 0.8× 81 1.4× 60 655
Jianyue Zhu United Kingdom 8 228 0.9× 124 0.7× 133 0.8× 105 1.2× 45 0.8× 17 310
Alexander Orellano Austria 9 442 1.7× 345 2.0× 332 2.1× 119 1.4× 52 0.9× 17 501
Kiyoshi NAGAKURA Japan 8 301 1.1× 136 0.8× 168 1.1× 62 0.7× 49 0.9× 31 353
Jang-Oh Mo South Korea 8 312 1.2× 203 1.2× 172 1.1× 41 0.5× 10 0.2× 30 366
Jelena Svorcan Serbia 11 141 0.5× 89 0.5× 89 0.6× 130 1.5× 17 0.3× 35 296

Countries citing papers authored by Mengge Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mengge Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengge Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengge Yu. A scholar is included among the top collaborators of Mengge Yu 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 Mengge Yu. Mengge Yu 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.
Yu, Mengge, et al.. (2024). Liquid film morphology and aerodynamic performance of a high-speed train under wind-rain environments. Journal of Wind Engineering and Industrial Aerodynamics. 247. 105687–105687. 1 indexed citations
2.
Yu, Mengge, et al.. (2024). Analysis of Water Film Distribution and Aerodynamic Performances of High-Speed Train Under Rainfall Environment. Chinese Journal of Mechanical Engineering. 37(1). 2 indexed citations
3.
Yang, Haolin, et al.. (2024). Stability and Synchronization of Delayed Quaternion-Valued Neural Networks under Multi-Disturbances. Mathematics. 12(6). 917–917. 1 indexed citations
4.
Yu, Mengge, et al.. (2022). Effects of wind-rain coupling on the aerodynamic characteristics of a high-speed train. Journal of Wind Engineering and Industrial Aerodynamics. 231. 105213–105213. 7 indexed citations
5.
Song, Hongquan, Mengge Yu, Yunli Zhang, et al.. (2022). First-principle study of interstitial atoms (C, B and Si) in CrFeCoNi high entropy alloy. Materials Today Communications. 31. 103241–103241. 7 indexed citations
6.
Yu, Mengge, Jiali Liu, Wei Huo, & Jiye Zhang. (2022). Shape Optimization of the Streamlined Train Head for Reducing Aerodynamic Resistance and Noise. Applied Sciences. 12(19). 10146–10146. 1 indexed citations
7.
Yu, Mengge, et al.. (2021). Aerodynamic characteristics of a high-speed train exposed to heavy rain environment based on non-spherical raindrop. Journal of Wind Engineering and Industrial Aerodynamics. 211. 104532–104532. 22 indexed citations
8.
Yu, Mengge, et al.. (2020). A Numerical Study of the Aerodynamic Characteristics of a High-speed Train under the Effect of Crosswind and Rain. Fluid dynamics & materials processing. 16(1). 77–90. 7 indexed citations
9.
Zheng, Huan & Mengge Yu. (2020). Thermodynamically Consistent Detonation Model for Solid Explosives. Combustion Explosion and Shock Waves. 56(5). 545–555. 1 indexed citations
10.
Yu, Mengge, et al.. (2020). Study on the Aerodynamic Performance of the High-speed Train under Strong Wind and Rainfall Environment. Journal of Mechanical Engineering. 56(4). 185–185. 4 indexed citations
11.
Yu, Mengge, et al.. (2019). Crosswind Stability Evaluation of High-Speed Train Using Different Wind Models. Chinese Journal of Mechanical Engineering. 32(1). 31 indexed citations
12.
Rashidi, Mohammad Mehdi, et al.. (2019). On the Reynolds-Averaged Navier-Stokes Modelling of the Flow around a Simplified Train in Crosswinds. Journal of Applied Fluid Mechanics. 12(2). 551–563. 20 indexed citations
13.
Yu, Mengge, et al.. (2019). Multi-objective Optimization Design of the High-speed Train Head Based on the Approximate Model. Journal of Mechanical Engineering. 55(24). 178–178. 7 indexed citations
14.
Yu, Mengge. (2016). Study on the Unsteady Aerodynamic Loads of High-speed Trains Exposed to Two-dimensional Stochastic Winds. Journal of Mechanical Engineering. 52(6). 108–108. 1 indexed citations
15.
Li, Tian, Mengge Yu, Jiye Zhang, & Weihua Zhang. (2015). A fast equilibrium state approach to determine interaction between stochastic crosswinds and high-speed trains. Journal of Wind Engineering and Industrial Aerodynamics. 143. 91–104. 22 indexed citations
16.
Yu, Mengge, Jiye Zhang, Keyue Zhang, & Weihua Zhang. (2014). Crosswind stability analysis of a high-speed train based on fuzzy random reliability. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 229(8). 875–887. 11 indexed citations
17.
Yu, Mengge, Jiye Zhang, & Weihua Zhang. (2013). Multi-objective optimization design method of the high-speed train head. Journal of Zhejiang University. Science A. 14(9). 631–641. 22 indexed citations
18.
Yu, Mengge, Jiye Zhang, & Weihua Zhang. (2013). Simulation of unsteady aerodynamic loads on high-speed trains in fluctuating crosswinds. Journal of Modern Transportation. 21(2). 73–78. 2 indexed citations
19.
Yu, Mengge, et al.. (2011). Wind-Induced Security of High-Speed Trains on the Ground. 46(6). 989–995. 5 indexed citations
20.
Yu, Mengge, Jiye Zhang, & Weihua Zhang. (2011). Running attitudes of car body and wheelset for high-speed train under cross wind. 11(4). 48–55. 2 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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2026