Ming‐Jiu Ni

2.4k total citations
147 papers, 1.9k citations indexed

About

Ming‐Jiu Ni is a scholar working on Computational Mechanics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ming‐Jiu Ni has authored 147 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computational Mechanics, 39 papers in Materials Chemistry and 38 papers in Biomedical Engineering. Recurrent topics in Ming‐Jiu Ni's work include Fluid Dynamics and Turbulent Flows (52 papers), Fluid Dynamics and Heat Transfer (43 papers) and Fusion materials and technologies (27 papers). Ming‐Jiu Ni is often cited by papers focused on Fluid Dynamics and Turbulent Flows (52 papers), Fluid Dynamics and Heat Transfer (43 papers) and Fusion materials and technologies (27 papers). Ming‐Jiu Ni collaborates with scholars based in China, United States and France. Ming‐Jiu Ni's co-authors include Jie Zhang, Mohamed Abdou, N.B. Morley, Ramakanth Munipalli, Peter Huang, Nian-Mei Zhang, Juan-Cheng Yang, Satoru Komori, Jie Zhang and Junfeng Li and has published in prestigious journals such as Journal of Fluid Mechanics, Langmuir and Journal of Computational Physics.

In The Last Decade

Ming‐Jiu Ni

132 papers receiving 1.8k citations

Peers

Ming‐Jiu Ni
Tomoaki Kunugi Japan
Duncan A. Lockerby United Kingdom
В. И. Терехов Russia
Robert Nourgaliev United States
Salih Özen Ünverdi Türkiye
Marianne Francois United States
Xiao-Jun Gu United Kingdom
Alan Kastengren United States
Oliver T. Stein Germany
G.A. Greene United States
Tomoaki Kunugi Japan
Ming‐Jiu Ni
Citations per year, relative to Ming‐Jiu Ni Ming‐Jiu Ni (= 1×) peers Tomoaki Kunugi

Countries citing papers authored by Ming‐Jiu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jiu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jiu Ni. 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 Ming‐Jiu Ni. The network helps show where Ming‐Jiu Ni may publish in the future.

Co-authorship network of co-authors of Ming‐Jiu Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jiu Ni. A scholar is included among the top collaborators of Ming‐Jiu Ni 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 Ming‐Jiu Ni. Ming‐Jiu Ni 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
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Zhang, Jie, et al.. (2025). Direct numerical simulations of Leidenfrost drop impacting onto superheated liquid pool: an early stage study. Journal of Fluid Mechanics. 1007. 1 indexed citations
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Zhou, Jiandong, Yuhao Tang, Jia-Jun Wu, Juan-Cheng Yang, & Ming‐Jiu Ni. (2025). Experimental study on mixed convection of liquid metal GaInSn. International Journal of Heat and Fluid Flow. 116. 109995–109995.
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Zhang, Jie, et al.. (2025). Lift reversal for an oblate droplet translating in a linear shear flow: from inviscid bubble to rigid spheroid. Journal of Fluid Mechanics. 1007. 1 indexed citations
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Wu, Kai, et al.. (2025). Flow and heat transfer mechanism of wall mode in Rayleigh-Bénard convection under strong magnetic fields. Physical Review Fluids. 10(3). 2 indexed citations
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Jiang, Kecheng, et al.. (2024). Development of the high temperature PbLi experimental facility for CFETR. Fusion Engineering and Design. 202. 114313–114313. 2 indexed citations
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Wang, Jie, et al.. (2024). Unsteady Mixed Convection Flows in a Rectangular Duct and Dynamical Behaviors of Flow Channel Insert. International Journal of Energy Research. 2024(1). 1 indexed citations
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Jiang, Kecheng, et al.. (2024). Design and construction of GaInSn experimental facility for studies of mixed-convection MHD flows. Fusion Engineering and Design. 208. 114654–114654. 1 indexed citations
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Yang, Juan-Cheng, et al.. (2024). Study on the liquid metal flow transitions behind a circular cylinder under the axial magnetic field. Physics of Fluids. 36(7). 1 indexed citations
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Ni, Ming‐Jiu, et al.. (2024). Three-dimensional double-diffusive convection of conducting fluid under a magnetic field. Physics of Fluids. 36(2). 2 indexed citations
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Yang, Juan-Cheng, et al.. (2024). Experimental study of a spheroid falling in water: From prolate to oblate. International Journal of Multiphase Flow. 174. 104751–104751. 1 indexed citations
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Chen, Long, et al.. (2023). Numerical simulation of turbulent flow in FlowCube platform under a strong magnetic field. Acta Mechanica Sinica. 39(11). 3 indexed citations
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Zheng, Xiaolin, et al.. (2023). Linear global stability of a flow past a sphere under a streamwise magnetic field. Journal of Fluid Mechanics. 970. 1 indexed citations
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Ni, Ming‐Jiu, et al.. (2023). Numerical simulations of flow past a backward-facing step under a strong transverse magnetic field. Physics of Fluids. 35(12). 2 indexed citations
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Han, Tianyang, Jie Zhang, Hua Tan, & Ming‐Jiu Ni. (2021). A consistent and parallelized height function based scheme for applying contact angle to 3D volume-of-fluid simulations. Journal of Computational Physics. 433. 110190–110190. 10 indexed citations
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Ni, Ming‐Jiu. (2010). MAGNETOHYDRODYNAMICS RELEVANT TO LIQUID BLANKET OF FUSION. Lixue yu shijian.

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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