Meng Tong
Impact in
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- Cyclone Separators and Fluid Dynamics
- Granular flow and fluidized beds
- Fluid Dynamics and Turbulent Flows
Papers in
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- Fluid Dynamics and Mixing 4
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- Lattice Boltzmann Simulation Studies 2
- Co-authors
- Huibo Meng (1 shared paper)Yanfang Yu (1 shared paper)Yundong Wang (7 shared papers)Zuohua Liu (8 shared papers)Shuang Qin (6 shared papers)Changyuan Tao (5 shared papers)Yu Wang (6 shared papers)Rui Feng (4 shared papers)
- Journals
- International Immunopharmacology (3 papers)Computers & Industrial Engineering (2 papers)AIChE Journal (2 papers)Industrial & Engineering Chemistry Research (2 papers)Applied Mathematics and Nonlinear Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomItaly
In The Last Decade
Meng Tong
42 papers receiving 235 citations
Peers
Comparison fields: 5 of 98
- Computational Mechanics 51
- Health Informatics 2
- Biomedical Engineering 51
- Industrial and Manufacturing Engineering 11
- Mechanical Engineering 39
Countries citing papers authored by Meng Tong
This map shows the geographic impact of Meng Tong'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 Meng Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Tong more than expected).
Fields of papers citing papers by Meng Tong
This network shows the impact of papers produced by Meng Tong. 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 Meng Tong. The network helps show where Meng Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Tong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Meng Tong
Meng Tong is a scholar working on Biomedical Engineering, Computational Mechanics, Immunology, Mechanical Engineering and Electrical and Electronic Engineering, having authored 47 papers that have together received 240 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (4 papers), Sustainable Supply Chain Management (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Urinary Bladder and Prostate Research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Macrophage Migration Inhibitory Factor (2 papers), Lattice Boltzmann Simulation Studies (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Computational Mechanics (51 citations), Health Informatics (2 citations), Biomedical Engineering (51 citations), Industrial and Manufacturing Engineering (11 citations) and Mechanical Engineering (39 citations). Meng Tong has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Huibo Meng, Yanfang Yu, Yundong Wang, Zuohua Liu, Shuang Qin, Changyuan Tao, Yu Wang, Rui Feng, Wei Li and Chang Yin Liang. Their work appears in journals such as International Immunopharmacology, Computers & Industrial Engineering, AIChE Journal, Industrial & Engineering Chemistry Research and Applied Mathematics and Nonlinear Sciences.
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.