Kun Luo

13.8k citations
550 papers · 10.8k indexed · h-index 48

Impact in

    • Granular flow and fluidized beds
    • Combustion and flame dynamics
    • Lattice Boltzmann Simulation Studies
    • Fluid Dynamics and Turbulent Flows
    • Cyclone Separators and Fluid Dynamics
    • Advanced Combustion Engine Technologies

Papers in

Kun Luo

513 papers receiving 10.6k citations

Peers

Kun Luo
Comparison fields: 5 of 166
  • Computational Mechanics 6.7k
  • Fluid Flow and Transfer Processes 1.2k
  • Ocean Engineering 2.6k
  • Safety, Risk, Reliability and Quality 654
  • Catalysis 440
Replace Graham J. Nathan with:
Graham J. Nathan Australia
Mohamed Pourkashanian United Kingdom
Ahmed F. Ghoniem United States
Lin Ma United Kingdom
Bo G Leckner Sweden
D.B. Ingham United Kingdom
Hai Zhang China
Qiang Yao China
Jianren Fan China
N.C. Markatos Greece
Kun Luo relative to Graham J. Nathan Australia Graham J. Nathan's profile →
Citations per field
00.5×10.2×
Graham J. Nathan · 1×
Citations per year

Countries citing papers authored by Kun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Kun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Luo Line = papers co-authored together Kun Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 550 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007230
2 2009228
3 2005183
4 2020163
5 2019154
6 2010153
7 2019144
8 2018144
9 2019138
10 2019135
11 2007123
12 2018123
13 2017114
14 201693
15 201889
16 201887
17 200983
18 201680
19 201479
20 201376

About Kun Luo

Kun Luo is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Ocean Engineering, Safety, Risk, Reliability and Quality and Environmental Engineering, having authored 550 papers that have together received 10.8k indexed citations. Recurring topics across this work include Combustion and flame dynamics (157 papers), Particle Dynamics in Fluid Flows (143 papers), Granular flow and fluidized beds (106 papers), Advanced Combustion Engine Technologies (88 papers), Fluid Dynamics and Turbulent Flows (76 papers), Thermochemical Biomass Conversion Processes (76 papers), Lattice Boltzmann Simulation Studies (56 papers) and Fire dynamics and safety research (51 papers). The work is most often cited by research in Computational Mechanics (6.7k citations), Fluid Flow and Transfer Processes (1.2k citations), Ocean Engineering (2.6k citations), Safety, Risk, Reliability and Quality (654 citations) and Catalysis (440 citations). Kun Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianren Fan, Jianren Fan, Haiou Wang, Shuai Wang, Kefa Cen, Chenshu Hu, Shiliang Yang, Zeli Wang, Jianren Fan and Tai Jin. Their work appears in journals such as Physics of Fluids, Fuel, Powder Technology, Combustion and Flame and Chemical Engineering Science.

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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