Xiaojue Zhu

1.8k total citations
54 papers, 1.2k citations indexed

About

Xiaojue Zhu is a scholar working on Computational Mechanics, Global and Planetary Change and Biomedical Engineering. According to data from OpenAlex, Xiaojue Zhu has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 18 papers in Global and Planetary Change and 9 papers in Biomedical Engineering. Recurrent topics in Xiaojue Zhu's work include Fluid Dynamics and Turbulent Flows (32 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Lattice Boltzmann Simulation Studies (6 papers). Xiaojue Zhu is often cited by papers focused on Fluid Dynamics and Turbulent Flows (32 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Lattice Boltzmann Simulation Studies (6 papers). Xiaojue Zhu collaborates with scholars based in Germany, Netherlands and China. Xiaojue Zhu's co-authors include Detlef Lohse, Roberto Verzicco, Xing Zhang, Guowei He, Richard J. A. M. Stevens, Varghese Mathai, Chao Sun, Olga Shishkina, Xuehua Zhang and Rodolfo Ostilla–Mónico and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Xiaojue Zhu

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojue Zhu Germany 19 878 301 294 225 179 54 1.2k
Kai Leong Chong China 22 769 0.9× 102 0.3× 322 1.1× 235 1.0× 180 1.0× 58 1.1k
Peter Vorobieff United States 26 1.5k 1.8× 329 1.1× 223 0.8× 102 0.5× 354 2.0× 127 2.3k
Yantao Yang China 19 782 0.9× 122 0.4× 133 0.5× 136 0.6× 113 0.6× 62 1.1k
Yongyun Hwang United Kingdom 23 1.5k 1.8× 228 0.8× 143 0.5× 589 2.6× 420 2.3× 64 1.8k
Enrico Calzavarini France 21 870 1.0× 60 0.2× 204 0.7× 123 0.5× 76 0.4× 51 1.2k
Alberto de Lózar Germany 16 572 0.7× 53 0.2× 124 0.4× 475 2.1× 94 0.5× 32 1.1k
Zhen‐Hua Wan China 19 855 1.0× 303 1.0× 246 0.8× 99 0.4× 118 0.7× 100 1.0k
Marcello Lappa United Kingdom 26 1.7k 1.9× 100 0.3× 621 2.1× 30 0.1× 208 1.2× 154 2.1k
Giorgio Amati Italy 16 765 0.9× 77 0.3× 104 0.4× 90 0.4× 79 0.4× 33 1.0k
Jeanette Hussong Germany 16 757 0.9× 250 0.8× 435 1.5× 18 0.1× 178 1.0× 102 1.3k

Countries citing papers authored by Xiaojue Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojue Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojue Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojue Zhu. A scholar is included among the top collaborators of Xiaojue Zhu 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 Xiaojue Zhu. Xiaojue Zhu 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.
Zhang, Mengqi, et al.. (2025). Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers. Journal of Fluid Mechanics. 1006. 3 indexed citations
2.
3.
Shishkina, Olga, et al.. (2025). Heat and momentum transfer in Rayleigh–Bénard convection within a two-dimensional annulus under radial gravity. International Journal of Heat and Mass Transfer. 241. 126703–126703. 2 indexed citations
4.
Zhang, Yixin, Xiaojue Zhu, Jeffery A. Wood, & Detlef Lohse. (2024). Threshold current density for diffusion-controlled stability of electrolytic surface nanobubbles. Proceedings of the National Academy of Sciences. 121(21). e2321958121–e2321958121. 19 indexed citations
5.
Shishkina, Olga, et al.. (2024). Direct numerical simulations of rapidly rotating Rayleigh–Bénard convection with Rayleigh number up to. Journal of Fluid Mechanics. 989. 9 indexed citations
6.
Zhu, Xiaojue, et al.. (2024). Turbulent spherical Rayleigh–Bénard convection: radius ratio dependence. Journal of Fluid Mechanics. 1000.
7.
Yu, Linqi, Mustafa Z. Yousif, Young-Woo Lee, et al.. (2024). Predicting unavailable parameters from existing velocity fields of turbulent flows using a GAN-based model. Physical Review Fluids. 9(2). 1 indexed citations
8.
Shishkina, Olga, et al.. (2024). Scaling regimes in rapidly rotating thermal convection at extreme Rayleigh numbers. Journal of Fluid Mechanics. 984. 18 indexed citations
9.
Shishkina, Olga, et al.. (2024). On the boundary-layer asymmetry in two-dimensional annular Rayleigh–Bénard convection subject to radial gravity. Journal of Fluid Mechanics. 999. 2 indexed citations
10.
Zhao, Xizeng, et al.. (2024). Free-surface-induced ground effect for flapping swimmers. Journal of Fluid Mechanics. 997. 4 indexed citations
11.
Zhu, Xiaojue, et al.. (2024). A boundary condition-enhanced direct-forcing immersed boundary method for simulations of three-dimensional phoretic particles in incompressible flows. Journal of Computational Physics. 509. 113028–113028. 4 indexed citations
12.
Zhu, Xiaojue, et al.. (2024). AFiD-MHD: A finite difference method for magnetohydrodynamic flows. Journal of Computational Physics. 523. 113658–113658.
13.
Cheng, Xin, et al.. (2023). Three-dimensional Turbulent Reconnection within the Solar Flare Current Sheet. The Astrophysical Journal Letters. 954(2). L36–L36. 18 indexed citations
14.
Benzi, Roberto, David R. Nelson, Suraj Shankar, Federico Toschi, & Xiaojue Zhu. (2022). Spatial population genetics with fluid flow. Reports on Progress in Physics. 85(9). 96601–96601. 8 indexed citations
15.
Zhu, Xiaojue, et al.. (2021). Closing the loop: nonlinear Taylor vortex flow through the lens of resolvent analysis. arXiv (Cornell University). 4 indexed citations
16.
Chen, Xi, et al.. (2019). Machine learning meets mechanism: Mechanism of roll reversal in Rayleigh-B\'enard Convection. Bulletin of the American Physical Society. 1 indexed citations
17.
Zhu, Xiaojue, et al.. (2019). Direct numerical simulations of Taylor–Couette turbulence: the effects of sand grain roughness. Journal of Fluid Mechanics. 873. 260–286. 12 indexed citations
18.
Zhu, Xiaojue, et al.. (2017). Controlling heat transport and flow structures in thermal turbulence using ratchet surfaces. Bulletin of the American Physical Society. 2 indexed citations
19.
Zhu, Xiaojue, Rodolfo Ostilla–Mónico, Roberto Verzicco, & Detlef Lohse. (2016). Direct numerical simulation of Taylor–Couette flow with grooved walls: torque scaling and flow structure. Journal of Fluid Mechanics. 794. 746–774. 38 indexed citations
20.
Zhu, Xiaojue, et al.. (2014). Temperature Field Study on the of Natural Convection and Its Effect on the Critical Speeds in a High Pressure Rotor System. Research Journal of Applied Sciences Engineering and Technology. 7(11). 2175–2181. 1 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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