Mu Zhong

443 total citations
24 papers, 349 citations indexed

About

Mu Zhong is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Mu Zhong has authored 24 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Aerospace Engineering, 15 papers in Environmental Engineering and 10 papers in Computational Mechanics. Recurrent topics in Mu Zhong's work include Aerodynamics and Fluid Dynamics Research (20 papers), Wind and Air Flow Studies (15 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Mu Zhong is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (20 papers), Wind and Air Flow Studies (15 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Mu Zhong collaborates with scholars based in China, Italy and Canada. Mu Zhong's co-authors include Zhaijun Lu, Dongrun Liu, Xifeng Liang, Tianjun Wang, Meng Shi, G. Tomasini, Qianxuan Wang, Federico Cheli, Wei Zhou and Tiantian Wang and has published in prestigious journals such as Scientific Reports, Mechanical Systems and Signal Processing and Physics of Fluids.

In The Last Decade

Mu Zhong

23 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu Zhong China 12 253 203 140 139 46 24 349
Dongrun Liu China 12 302 1.2× 231 1.1× 166 1.2× 184 1.3× 43 0.9× 35 407
Ben Diedrichs Sweden 10 334 1.3× 274 1.3× 107 0.8× 202 1.5× 49 1.1× 15 369
Tatsuo Maeda Japan 10 428 1.7× 308 1.5× 100 0.7× 253 1.8× 54 1.2× 21 458
Dominic Flynn United Kingdom 8 299 1.2× 239 1.2× 100 0.7× 244 1.8× 29 0.6× 10 390
Katsuji Tanemoto Japan 5 528 2.1× 437 2.2× 100 0.7× 358 2.6× 61 1.3× 7 551
Hamid Zeraatgar Iran 10 47 0.2× 84 0.4× 61 0.4× 250 1.8× 15 0.3× 47 348
Tianyun Dong China 13 339 1.3× 268 1.3× 36 0.3× 263 1.9× 41 0.9× 16 419
Krzysztof Sobczak Poland 9 328 1.3× 153 0.8× 49 0.3× 148 1.1× 15 0.3× 36 404
James Bell Australia 9 662 2.6× 536 2.6× 71 0.5× 535 3.8× 69 1.5× 23 685
Eleni Douvi Greece 7 157 0.6× 86 0.4× 121 0.9× 95 0.7× 9 0.2× 17 327

Countries citing papers authored by Mu Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Mu Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Zhong. A scholar is included among the top collaborators of Mu Zhong 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 Mu Zhong. Mu Zhong 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
3.
Zhang, Dongqin, Mu Zhong, Gang Hu, & Yiqing Xiao. (2023). Numerical study of the unsteady crosswind response of high-speed train under local structure-induced unsteady winds by MBS. Engineering Structures. 281. 115788–115788. 12 indexed citations
4.
Xiong, Xiaohui, et al.. (2023). Dynamic Response of Outer Windshield Structure in Different Schemes under Aerodynamic Load. Applied Sciences. 13(6). 3879–3879. 1 indexed citations
5.
Liu, Dongrun, Xifeng Liang, Jiaqiang Wang, et al.. (2022). Effect of car-body lower-center rolling on aerodynamic performance of a high-speed train. Journal of Central South University. 29(8). 2820–2836. 6 indexed citations
6.
Chen, Guang, et al.. (2022). Performance of a vehicle-mounted anemometer under crosswind: Simulation and experiment. Transportation Safety and Environment. 5(3). 13 indexed citations
7.
Liu, Dongrun, et al.. (2021). Effect of car-body initial dynamic sway on overturning before high-speed trains negotiate wind speed variations. Vehicle System Dynamics. 60(7). 2451–2468. 7 indexed citations
8.
Li, Tian, Dongrun Liu, Zhaijun Lu, Xiaobai Li, & Mu Zhong. (2021). A monitoring method for car-body vibration displacement of a high-speed train in windy conditions. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 236(6). 649–661. 1 indexed citations
9.
Liu, Dongrun, G. Tomasini, Daniele Rocchi, et al.. (2020). Correlation of car-body vibration and train overturning under strong wind conditions. Mechanical Systems and Signal Processing. 142. 106743–106743. 36 indexed citations
10.
Wu, Fan, et al.. (2020). Numerical investigation on the aerodynamics and dynamics of a high-speed train passing through a tornado-like vortex. Journal of Fluids and Structures. 96. 103042–103042. 25 indexed citations
11.
Liu, Dongrun, Li Tian, Meng Shi, Zhaijun Lu, & Mu Zhong. (2020). Investigating the car-body vibration of high-speed trains under different operating conditions with full-scale tests. Vehicle System Dynamics. 60(2). 633–652. 11 indexed citations
12.
Liu, Dongrun, et al.. (2020). The effect of continuously varying wind speed on high-speed train overturning safety. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 235(6). 774–786. 5 indexed citations
13.
Liu, Dongrun, Tian Li, Zhaijun Lu, Jun Chen, & Mu Zhong. (2020). Experimental–numerical investigation of momentary discomfort in a high-speed train in varying wind speed conditions. Vehicle System Dynamics. 60(4). 1440–1459. 4 indexed citations
14.
Liu, Dongrun, Tiantian Wang, Xifeng Liang, et al.. (2020). High-speed train overturning safety under varying wind speed conditions. Journal of Wind Engineering and Industrial Aerodynamics. 198. 104111–104111. 48 indexed citations
15.
Liu, Dongrun, G. Tomasini, Federico Cheli, et al.. (2020). Effect of aerodynamic force change caused by car-body rolling on train overturning safety under strong wind conditions. Vehicle System Dynamics. 60(2). 433–453. 13 indexed citations
16.
Lu, Zhaijun, et al.. (2019). A measurement method for the overturning coefficient of high-speed trains passing through complex terrain sections under strong wind conditions. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 234(8). 885–895. 3 indexed citations
17.
Liu, Dongrun, Wei Zhou, Lei Zhang, et al.. (2019). Momentary discomfort of high-speed trains passing through complex terrain sections under strong wind conditions. Vehicle System Dynamics. 58(9). 1428–1450. 9 indexed citations
18.
Liu, Dongrun, Qianxuan Wang, Mu Zhong, et al.. (2018). Effect of wind speed variation on the dynamics of a high-speed train. Vehicle System Dynamics. 57(2). 247–268. 42 indexed citations
19.
Zhong, Mu. (2011). Optimization of wind-break wall based on Kriging model. Journal of Central South University(Science and Technology). 1 indexed citations
20.
Zhong, Mu. (2002). EROSION THICKNESS RESTORATION IN SOUTHWEST TARIM BASIN. Acta Petrologica Sinica. 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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