Lei Qiao

822 total citations
34 papers, 653 citations indexed

About

Lei Qiao is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Lei Qiao has authored 34 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 23 papers in Aerospace Engineering and 4 papers in Applied Mathematics. Recurrent topics in Lei Qiao's work include Fluid Dynamics and Turbulent Flows (22 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Turbomachinery Performance and Optimization (12 papers). Lei Qiao is often cited by papers focused on Fluid Dynamics and Turbulent Flows (22 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Turbomachinery Performance and Optimization (12 papers). Lei Qiao collaborates with scholars based in China, United Kingdom and United States. Lei Qiao's co-authors include Jiakuan Xu, Junqiang Bai, G. M. Faeth, Chang Hwan Kim, Yang Zhang, Yang Zhang, Werner J. A. Dahm, Elaine S. Oran, Yuxuan Wang and Lixing Zhou and has published in prestigious journals such as Fuel, AIAA Journal and Combustion and Flame.

In The Last Decade

Lei Qiao

32 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Qiao China 12 536 383 185 85 57 34 653
Balu Sekar United States 15 719 1.3× 344 0.9× 319 1.7× 69 0.8× 95 1.7× 90 810
Franklin Génin United States 10 548 1.0× 361 0.9× 100 0.5× 50 0.6× 69 1.2× 22 631
Reetesh Ranjan United States 12 459 0.9× 202 0.5× 222 1.2× 66 0.8× 20 0.4× 45 526
Foluso Ladeinde United States 17 617 1.2× 378 1.0× 99 0.5× 73 0.9× 64 1.1× 107 778
V.A. Nerchenko Russia 7 364 0.7× 320 0.8× 82 0.4× 106 1.2× 37 0.6× 10 531
Wansheng Nie China 15 377 0.7× 393 1.0× 105 0.6× 65 0.8× 10 0.2× 94 663
Heeseok Koo United States 13 509 0.9× 236 0.6× 157 0.8× 51 0.6× 148 2.6× 30 581
Michikata Kono Japan 16 790 1.5× 348 0.9× 404 2.2× 123 1.4× 37 0.6× 85 913
Eduardo Fernández-Tarrazo Spain 15 670 1.3× 370 1.0× 476 2.6× 253 3.0× 15 0.3× 29 787
А. Г. Кушниренко Russia 4 346 0.6× 349 0.9× 65 0.4× 52 0.6× 56 1.0× 10 512

Countries citing papers authored by Lei Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Qiao. A scholar is included among the top collaborators of Lei Qiao 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 Lei Qiao. Lei Qiao 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.
Zheng, Pengcheng, et al.. (2025). Modeling of High-Speed Boundary-Layer Transition Across Wide Mach Number Regimes. AIAA Journal. 64(2). 668–680.
2.
Xu, Jiakuan, et al.. (2025). Progress in local-variable-based transition-turbulence models for subsonic and transonic boundary layers. Chinese Journal of Aeronautics. 39(4). 103688–103688.
3.
Xu, Jiakuan, et al.. (2024). Amplification factor transport equation modelling of Mack mode disturbances in hypersonic boundary layers. Applied Mathematical Modelling. 136. 115615–115615. 3 indexed citations
4.
Qiao, Lei, et al.. (2024). High-fidelity simulations of boundary layer transition on an underwater axisymmetric body with stability theory. Physics of Fluids. 36(7). 2 indexed citations
5.
Qiao, Lei, Jian Shen, Jiangtao Huang, et al.. (2023). Improved hybrid model for transitional separated flows over a rough compressor blade. Aerospace Science and Technology. 140. 108434–108434. 3 indexed citations
6.
Wang, Yuxuan, Jiakuan Xu, Lei Qiao, Yang Zhang, & Junqiang Bai. (2023). Improved Amplification Factor Transport Transition Model for Transonic Boundary Layers. AIAA Journal. 61(9). 3866–3882. 60 indexed citations
7.
Li, Li, Lei Qiao, Jiakuan Xu, & Junqiang Bai. (2023). Effects of Static Stability Margin on Aerodynamic Design Optimization of Truss-Braced Wing Aircraft. Aerospace. 10(7). 603–603. 3 indexed citations
8.
Qiao, Lei, et al.. (2022). A hybrid prediction model for transitional separated flows over rough walls. Physics of Fluids. 34(9). 4 indexed citations
9.
Li, Yi, Jiakuan Xu, Lei Qiao, Yang Zhang, & Junqiang Bai. (2022). A Galilean Invariant Variable–Based RANS Closure Model for Bypass and Laminar Separation Bubble–Induced Transition. Journal of Aerospace Engineering. 35(3). 4 indexed citations
10.
11.
Qiao, Lei, et al.. (2020). Far-field drag decomposition using hybrid formulas and vorticity based area sensors. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 235(11). 1411–1426. 4 indexed citations
12.
Wang, Tong, et al.. (2019). The Research of the SM2, SM3 and SM4 Algorithms in WLAN of Transformer Substation. 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). 276–283. 2 indexed citations
13.
Xu, Jiakuan, Junqiang Bai, Lei Qiao, & Yang Zhang. (2019). Development of a computational fluid dynamics compatible mathematical model for boundary layer transitional flows in low-disturbance environment. Aerospace Science and Technology. 86. 487–496. 29 indexed citations
14.
Xu, Jiakuan, et al.. (2019). Fully Local Amplification Factor Transport Equation for Stationary Crossflow Instabilities. AIAA Journal. 57(7). 2682–2693. 26 indexed citations
15.
Bai, Junqiang, et al.. (2018). A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 36(1). 83–90. 2 indexed citations
16.
Bai, Junqiang, et al.. (2017). Aerodynamic Effects of Wing-Mounted Engine Nacelle on High-Lift Configuration of Turboprop Airliner. Journal of Aircraft. 55(3). 1082–1089. 6 indexed citations
17.
Xu, Jiakuan, Junqiang Bai, Lei Qiao, & Yang Zhang. (2016). Correlation-Based Transition Transport Modeling for Simulating Crossflow Instabilities. Journal of Applied Fluid Mechanics. 9(7). 2435–2442. 16 indexed citations
18.
Xu, Jiakuan, et al.. (2016). Transition study of 3D aerodynamic configures using improved transport equations modeling. Chinese Journal of Aeronautics. 29(4). 874–881. 22 indexed citations
19.
Qiao, Lei, et al.. (2013). Combination of DES and DDES with a Correlation Based Transition Model. Applied Mechanics and Materials. 444-445. 374–379. 11 indexed citations
20.
Zhou, Lixing, et al.. (2002). A USM turbulence-chemistry model for simulating NOx formation in turbulent combustion. Fuel. 81(13). 1703–1709. 32 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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