Dilong Guo

603 total citations
24 papers, 463 citations indexed

About

Dilong Guo is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Dilong Guo has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 14 papers in Computational Mechanics and 13 papers in Environmental Engineering. Recurrent topics in Dilong Guo's work include Aerodynamics and Fluid Dynamics Research (24 papers), Fluid Dynamics and Vibration Analysis (14 papers) and Wind and Air Flow Studies (13 papers). Dilong Guo is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (24 papers), Fluid Dynamics and Vibration Analysis (14 papers) and Wind and Air Flow Studies (13 papers). Dilong Guo collaborates with scholars based in China. Dilong Guo's co-authors include Shuanbao Yao, Guowei Yang, Zhenxu Sun, Dawei Chen, Guowei Yang, Liping Gao, Jianjun Luo, Chenghui Liu, Feilong Li and Yubiao Liu and has published in prestigious journals such as Applied Sciences, Journal of Wind Engineering and Industrial Aerodynamics and Computers & Fluids.

In The Last Decade

Dilong Guo

23 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilong Guo China 14 408 271 270 83 80 24 463
Shuanbao Yao China 11 331 0.8× 214 0.8× 198 0.7× 86 1.0× 59 0.7× 20 377
Jorge Muñoz Paniagua Spain 11 402 1.0× 284 1.0× 294 1.1× 49 0.6× 68 0.8× 19 486
Mengge Yu China 10 264 0.6× 158 0.6× 173 0.6× 28 0.3× 85 1.1× 33 333
Tatsuo Maeda Japan 10 428 1.0× 253 0.9× 308 1.1× 40 0.5× 100 1.3× 21 458
Dongrun Liu China 12 302 0.7× 184 0.7× 231 0.9× 40 0.5× 166 2.1× 35 407
Xiaoshuai Huo China 13 434 1.1× 281 1.0× 351 1.3× 22 0.3× 35 0.4× 24 452
Ben Diedrichs Sweden 10 334 0.8× 202 0.7× 274 1.0× 19 0.2× 107 1.3× 15 369
Chao Xia China 15 433 1.1× 418 1.5× 325 1.2× 14 0.2× 84 1.1× 32 575
Astrid H. Herbst Australia 12 836 2.0× 720 2.7× 681 2.5× 32 0.4× 103 1.3× 16 901
Tommaso Argentini Italy 16 269 0.7× 524 1.9× 433 1.6× 266 3.2× 77 1.0× 52 698

Countries citing papers authored by Dilong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dilong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dilong Guo. A scholar is included among the top collaborators of Dilong Guo 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 Dilong Guo. Dilong Guo 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.
2.
Sun, Zhenxu, et al.. (2023). Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions. Engineering Applications of Computational Fluid Mechanics. 17(1). 5 indexed citations
3.
Sun, Zhenxu, et al.. (2023). Study on mathematical model construction of typical gorge wind field. Engineering Applications of Computational Fluid Mechanics. 17(1). 1 indexed citations
4.
Luo, Jianjun, et al.. (2023). Study of unsteady aerodynamic performance of a high-speed train entering a double-track tunnel under crosswind conditions. Journal of Fluids and Structures. 118. 103836–103836. 17 indexed citations
5.
Liu, Wen, et al.. (2022). Analysis of the Fluid–Structure Coupling Characteristics of a High-Speed Train Passing through a Tunnel. International Journal of Structural Stability and Dynamics. 22(16). 5 indexed citations
6.
Liu, Wen, et al.. (2022). Effects of bottom deflectors on aerodynamic drag reduction of a high-speed train. Acta Mechanica Sinica. 38(5). 18 indexed citations
7.
Guo, Yi, et al.. (2022). Coupling effects between pantograph of high-speed train and tunnel. Vehicle System Dynamics. 60(11). 3830–3847. 2 indexed citations
8.
Chen, Dawei, Zhenxu Sun, Shuanbao Yao, et al.. (2022). Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head. Engineering Applications of Computational Fluid Mechanics. 16(1). 2191–2206. 8 indexed citations
9.
Luo, Jianjun, et al.. (2021). Aerodynamic performance and flow evolution of a high-speed train exiting a tunnel with crosswinds. Journal of Wind Engineering and Industrial Aerodynamics. 218. 104786–104786. 27 indexed citations
10.
Li, Feilong, et al.. (2021). Analysis of aerodynamic effects and load spectrum characteristics in high-speed railway tunnels. Journal of Wind Engineering and Industrial Aerodynamics. 216. 104729–104729. 23 indexed citations
11.
12.
Liu, Wen, et al.. (2019). Effects of Bogies on the Wake Flow of a High-Speed Train. Applied Sciences. 9(4). 759–759. 12 indexed citations
13.
Guo, Yi, Dilong Guo, & Guowei Yang. (2017). Moving Model Analysis of the Slipstream of a Multiple Group Type High-Speed Train. DEStech Transactions on Engineering and Technology Research. 1 indexed citations
14.
Guo, Dilong, et al.. (2017). The Aerodynamic Characteristics of the Pantograph When the Train Passes Through the Tunnel. 中国科学院力学研究所. 3 indexed citations
15.
Guo, Dilong, et al.. (2016). Influences of affiliated components and train length on the train wind. Acta Mechanica Sinica. 32(2). 191–205. 30 indexed citations
16.
Yao, Shuanbao, Dilong Guo, Zhenxu Sun, & Guowei Yang. (2015). A modified multi-objective sorting particle swarm optimization and its application to the design of the nose shape of a high-speed train. Engineering Applications of Computational Fluid Mechanics. 9(1). 513–527. 28 indexed citations
17.
Yao, Shuanbao, et al.. (2015). Parametric design and optimization of high speed train nose. Optimization and Engineering. 17(3). 605–630. 32 indexed citations
18.
Yao, Shuanbao, Dilong Guo, Zhenxu Sun, Guowei Yang, & Dawei Chen. (2014). Optimization design for aerodynamic elements of high speed trains. Computers & Fluids. 95. 56–73. 74 indexed citations
19.
Yang, Guowei, Dilong Guo, Shuanbao Yao, & Chenghui Liu. (2012). Aerodynamic design for China new high-speed trains. Science China Technological Sciences. 55(7). 1923–1928. 31 indexed citations
20.
Yao, Shuanbao, Dilong Guo, & Guowei Yang. (2012). Three-dimensional aerodynamic optimization design of high-speed train nose based on GA-GRNN. Science China Technological Sciences. 55(11). 3118–3130. 38 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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