Junwu Wang

5.0k total citations · 1 hit paper
156 papers, 4.1k citations indexed

About

Junwu Wang is a scholar working on Computational Mechanics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Junwu Wang has authored 156 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computational Mechanics, 72 papers in Ocean Engineering and 33 papers in Mechanical Engineering. Recurrent topics in Junwu Wang's work include Granular flow and fluidized beds (116 papers), Particle Dynamics in Fluid Flows (71 papers) and Cyclone Separators and Fluid Dynamics (41 papers). Junwu Wang is often cited by papers focused on Granular flow and fluidized beds (116 papers), Particle Dynamics in Fluid Flows (71 papers) and Cyclone Separators and Fluid Dynamics (41 papers). Junwu Wang collaborates with scholars based in China, Netherlands and Australia. Junwu Wang's co-authors include Wei Ge, Jinghai Li, M.A. van der Hoef, J.A.M. Kuipers, Xizhong Chen, Bidan Zhao, Ji Xu, Quan Zhou, Peng Zhao and Leina Hua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Chemical Engineering Journal.

In The Last Decade

Junwu Wang

150 papers receiving 4.1k citations

Hit Papers

Continuum theory for dense gas-solid flow: A state-of-the... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continuum theory for dense gas-solid flow: A state-of-the-art review
    2019 266 citations Junwu Wang Chemical Engineering Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junwu Wang China 36 3.5k 1.8k 1.0k 704 190 156 4.1k
Madhava Syamlal United States 24 2.3k 0.6× 1.3k 0.7× 669 0.6× 521 0.7× 143 0.8× 57 2.8k
Olivier Simonin France 33 3.3k 0.9× 2.5k 1.4× 590 0.6× 674 1.0× 152 0.8× 183 4.0k
Wei Bai China 39 1.9k 0.5× 1.4k 0.8× 407 0.4× 457 0.6× 425 2.2× 166 3.9k
Christine M. Hrenya United States 37 3.6k 1.0× 2.2k 1.2× 962 0.9× 411 0.6× 526 2.8× 110 4.0k
Dale M. Snider United States 14 1.7k 0.5× 807 0.4× 711 0.7× 677 1.0× 92 0.5× 19 2.1k
J. N. Chung United States 30 2.3k 0.7× 1.3k 0.7× 856 0.8× 993 1.4× 419 2.2× 129 3.8k
Shu‐San Hsiau Taiwan 32 2.6k 0.7× 908 0.5× 676 0.7× 215 0.3× 361 1.9× 148 3.2k
Abdallah S. Berrouk United Arab Emirates 35 1.5k 0.4× 392 0.2× 1.7k 1.6× 1.6k 2.3× 184 1.0× 141 3.1k
R.F. Mudde Netherlands 38 1.8k 0.5× 1000 0.5× 1.2k 1.1× 2.6k 3.8× 118 0.6× 127 4.0k
Josette Bellan United States 33 3.6k 1.0× 923 0.5× 236 0.2× 1.4k 1.9× 142 0.7× 173 4.5k

Countries citing papers authored by Junwu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junwu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junwu Wang. A scholar is included among the top collaborators of Junwu Wang 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 Junwu Wang. Junwu Wang 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.
Lu, Shuai, et al.. (2025). Comparative analysis of spatiotemporal coherent structures in a spouted fluidized bed using data-driven methods. Physics of Fluids. 37(6). 2 indexed citations
2.
Zhao, Bidan, Kun Shi, Mingming He, & Junwu Wang. (2024). Hydrodynamics of polydisperse gas-solid flows: Kinetic theory and multifluid simulation. Chemical Engineering Science. 287. 119740–119740.
3.
Luo, Jiewen, Junwu Wang, & Bidan Zhao. (2024). A simple EMMS drag model for the simulation of bubbling fluidized beds using mesoscience-based structural model. Powder Technology. 448. 120272–120272. 1 indexed citations
4.
5.
Wu, Feng, et al.. (2024). Experiment, CFD simulation and field synergy characteristics analysis of hot-air drying process in a spouted bed. Powder Technology. 438. 119687–119687. 8 indexed citations
6.
Li, Wenbin, Feng Wu, & Junwu Wang. (2024). Numerical simulation of particle erosion coupled with flue gas desulphurization in the spouted bed. Chemical Engineering Journal. 487. 150522–150522. 5 indexed citations
7.
8.
He, Mingming, et al.. (2024). A critical comparison of the implementation of granular pressure gradient term in Euler–Euler simulation of gas–solid flows. Computers & Fluids. 288. 106523–106523. 2 indexed citations
9.
Li, Wen, et al.. (2024). Fast simulation of industrial-scale bubbling fluidized beds using mesoscience-based structural model. Chemical Engineering Science. 288. 119770–119770. 4 indexed citations
10.
Zou, Zheng, Xu Zhang, Xu Ji, et al.. (2024). Experimental investigation and CFD study of direct reduction of iron ore in the conical fluidized bed. Chemical Engineering Science. 300. 120586–120586. 4 indexed citations
11.
12.
Lan, Bin, Ji Xu, Shuai Lu, et al.. (2024). Direct reduction of iron-ore with hydrogen in fluidized beds: A coarse-grained CFD-DEM-IBM study. Powder Technology. 438. 119624–119624. 14 indexed citations
13.
Zhao, Bidan, et al.. (2024). Physics-informed dynamic mode decomposition for short-term and long-term prediction of gas-solid flows. Chemical Engineering Science. 289. 119849–119849. 10 indexed citations
14.
Ji, Ye & Junwu Wang. (2024). Comparison of microvascular decompression and percutaneous balloon compression efficacy in patients with V2 idiopathic trigeminal neuralgia. Frontiers in Neurology. 15. 1406602–1406602. 1 indexed citations
15.
Zhao, Bidan, et al.. (2024). Effects of rough surfaces on annular centrifugal Rayleigh–Bénard convection. International Journal of Heat and Mass Transfer. 232. 125929–125929. 2 indexed citations
16.
Wu, Feng, et al.. (2023). Multiple field synergy mechanism of the desulfurization process in the intensified spouted beds. Chemical Engineering Journal. 467. 143521–143521. 13 indexed citations
17.
Ke, Xiwei, et al.. (2023). Improving the precision of solids velocity measurement in gas-solid fluidized beds with a hybrid machine learning model. Chemical Engineering Science. 285. 119579–119579. 9 indexed citations
18.
Lu, Shuai, Bin Lan, Ji Xu, et al.. (2023). Optimization of multiple-chamber fluidized beds using coarse-grained CFD-DEM simulations: Regulation of solids back-mixing. Powder Technology. 428. 118886–118886. 14 indexed citations
19.
20.
Wang, Junwu. (2019). Continuum theory for dense gas-solid flow: A state-of-the-art review. Chemical Engineering Science. 215. 115428–115428. 266 indexed citations breakdown →

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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