Nan Gui

3.6k total citations · 1 hit paper
184 papers, 2.8k citations indexed

About

Nan Gui is a scholar working on Computational Mechanics, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Nan Gui has authored 184 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Computational Mechanics, 53 papers in Ocean Engineering and 34 papers in Aerospace Engineering. Recurrent topics in Nan Gui's work include Granular flow and fluidized beds (98 papers), Lattice Boltzmann Simulation Studies (52 papers) and Particle Dynamics in Fluid Flows (49 papers). Nan Gui is often cited by papers focused on Granular flow and fluidized beds (98 papers), Lattice Boltzmann Simulation Studies (52 papers) and Particle Dynamics in Fluid Flows (49 papers). Nan Gui collaborates with scholars based in China, Australia and United States. Nan Gui's co-authors include Jiyuan Tu, Shengyao Jiang, Xingtuan Yang, Xingtuan Yang, Hao Wu, Jianren Fan, Xingtuan Yang, Yuning Zhang, Jianming Liu and Chaoqun Liu and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Nan Gui

176 papers receiving 2.8k citations

Hit Papers

Third generation of vortex identification methods: Omega ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Gui China 26 2.1k 797 639 396 367 184 2.8k
Shengyao Jiang China 24 1.7k 0.8× 642 0.8× 389 0.6× 366 0.9× 331 0.9× 209 2.3k
Stefan Pirker Austria 28 3.3k 1.6× 1.1k 1.4× 1.5k 2.3× 179 0.5× 397 1.1× 107 4.4k
Guiyong Zhang China 25 1.6k 0.7× 326 0.4× 478 0.7× 399 1.0× 129 0.4× 204 2.2k
PA Brandner Australia 24 1.2k 0.6× 404 0.5× 482 0.8× 461 1.2× 164 0.4× 120 1.9k
Д. М. Маркович Russia 24 1.5k 0.7× 726 0.9× 244 0.4× 383 1.0× 382 1.0× 161 1.9k
Mikio Sakai Japan 34 3.2k 1.5× 1.1k 1.4× 860 1.3× 131 0.3× 254 0.7× 112 3.7k
B. S. V. Patnaik India 23 1.3k 0.6× 506 0.6× 144 0.2× 532 1.3× 446 1.2× 95 2.2k
Rickard Bensow Sweden 29 1.4k 0.7× 709 0.9× 682 1.1× 663 1.7× 132 0.4× 166 2.5k
Ibrahim Hassan Canada 27 783 0.4× 1.4k 1.8× 275 0.4× 578 1.5× 495 1.3× 218 2.5k
G. Bergeles Greece 33 1.9k 0.9× 745 0.9× 361 0.6× 605 1.5× 287 0.8× 96 2.8k

Countries citing papers authored by Nan Gui

Since Specialization
Citations

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

Fields of papers citing papers by Nan Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Gui. A scholar is included among the top collaborators of Nan Gui 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 Nan Gui. Nan Gui 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.
Gui, Nan, et al.. (2025). Predicting neutron flux density distribution in HTR-10 using U-Net based on DEM-MC coupled simulations. Nuclear Engineering and Technology. 57(6). 103425–103425. 3 indexed citations
2.
Wu, Mengqi, et al.. (2025). Multi-task image-based deep learning for boiling analysis: Material recognition and heat flux prediction. International Communications in Heat and Mass Transfer. 163. 108763–108763. 2 indexed citations
3.
Gui, Nan, et al.. (2025). A novel and refined particle-scale thermal resistance network model for high-resolution heat transfer analysis in pebble beds. International Journal of Thermal Sciences. 219. 110224–110224.
4.
Gui, Nan, et al.. (2025). Application of the smoothed particle hydrodynamics method to the neutron diffusion equation. Nuclear Engineering and Technology. 57(8). 103592–103592. 4 indexed citations
7.
Gui, Nan, et al.. (2024). Numerical study of the effect of particle size on pebble flow in the HTR-PM. Fusion Engineering and Design. 205. 114533–114533. 1 indexed citations
8.
Zou, Quan, et al.. (2024). Numerical study of the particle-scale heat transfer in the HTR-PM pebble bed based on GPU-DEM. International Journal of Thermal Sciences. 205. 109300–109300.
9.
Li, Wan, et al.. (2024). Thermodynamic properties of pseudopotential lattice Boltzmann model for simple multiphase interfaces. International Communications in Heat and Mass Transfer. 159. 108314–108314.
10.
Gui, Nan, et al.. (2024). Bubble tracking method based on Kuhn-Munkres algorithm for boiling two-phase flow study. International Journal of Heat and Mass Transfer. 226. 125436–125436. 1 indexed citations
11.
Zhang, Zuoyi, et al.. (2024). Pebble flow in the HTR-PM reactor core by GPU-DEM simulation: Effect of friction. Nuclear Engineering and Technology. 56(9). 3835–3850. 2 indexed citations
12.
Zhang, Zuoyi, Quan Zou, Nan Gui, et al.. (2024). Prediction and analysis of decay heat transfer in the core of the pebble bed reactor. Progress in Nuclear Energy. 173. 105253–105253. 3 indexed citations
13.
Zou, Quan, Nan Gui, Xingtuan Yang, Jiyuan Tu, & Shengyao Jiang. (2024). GPU-DEM-based heat transfer model for an HTGR pebble bed. International Journal of Thermal Sciences. 198. 108884–108884. 6 indexed citations
14.
Gui, Nan, et al.. (2024). Experimental study of friction coefficient of graphite for high-temperature gas-cooled reactors. Nuclear Engineering and Design. 423. 113162–113162. 3 indexed citations
15.
Gui, Nan, et al.. (2024). A novel contact thermal resistance model for heat transfer in granular systems: Leveraging the force-heat analogy. International Journal of Heat and Mass Transfer. 232. 125919–125919. 8 indexed citations
16.
Gui, Nan, et al.. (2024). Analytical generalized thermal resistance model for conductive heat transfer in pebble beds based on heat flux weighted temperature difference. International Journal of Heat and Mass Transfer. 236. 126401–126401. 7 indexed citations
17.
Gui, Nan, et al.. (2024). An analytical model for the three-dimensional thermal resistance of particles considering internal heat conduction based on the generalized thermal resistance concept. International Journal of Heat and Mass Transfer. 240. 126619–126619. 5 indexed citations
18.
Gui, Nan, et al.. (2023). Thermal hydraulic review of light water reactor based on subchannel code CTF. Nuclear Engineering and Design. 413. 112482–112482. 4 indexed citations
19.
Wu, Mengqi, Nan Gui, Xingtuan Yang, et al.. (2023). CFD simulation of a full-scale three-dimensional flow and temperature distribution inside a reactor under ocean conditions. Annals of Nuclear Energy. 184. 109701–109701. 3 indexed citations
20.
Gui, Nan, et al.. (2023). Numerical study of the effects of loading method on mixing of two kinds of pebbles in HTGR: A GPU-DEM simulation. Progress in Nuclear Energy. 165. 104905–104905. 4 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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