Hang Pu
Impact in
- Computational Mechanics top 2%
- Heat transfer and supercritical fluids
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- Advanced Combustion Engine Technologies
Papers in
-
- Heat transfer and supercritical fluids 17
- Lattice Boltzmann Simulation Studies 4
- Granular flow and fluidized beds 1
- Radiative Heat Transfer Studies 1
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- Particle Dynamics in Fluid Flows 6
- Co-authors
- Ming Dong (28 shared papers)Yan Shang (21 shared papers)Sufen Li (12 shared papers)Lin Mu (12 shared papers)Yuning Wang (1 shared paper)Ni Li (1 shared paper)Junjie Zhang (1 shared paper)Lin Zhou (2 shared papers)
In The Last Decade
Hang Pu
28 papers receiving 406 citations
Peers
Comparison fields: 5 of 30
- Computational Mechanics 325
- Fluid Flow and Transfer Processes 14
- Fuel Technology 2
- Mechanical Engineering 51
- Ocean Engineering 15
Countries citing papers authored by Hang Pu
This map shows the geographic impact of Hang Pu'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 Hang Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Pu more than expected).
Fields of papers citing papers by Hang Pu
This network shows the impact of papers produced by Hang Pu. 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 Hang Pu. The network helps show where Hang Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Pu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 37 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 34 | |
| 6 | 2022 | 32 | |
| 7 | 2018 | 31 | |
| 8 | 2022 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2013 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2025 | 6 |
About Hang Pu
Hang Pu is a scholar working on Computational Mechanics, Ocean Engineering, Mechanical Engineering, Aerospace Engineering and Materials Chemistry, having authored 32 papers that have together received 412 indexed citations. Recurring topics across this work include Heat transfer and supercritical fluids (17 papers), Particle Dynamics in Fluid Flows (6 papers), Lattice Boltzmann Simulation Studies (4 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (2 papers), Turbomachinery Performance and Optimization (2 papers), Granular flow and fluidized beds (1 paper), Aerosol Filtration and Electrostatic Precipitation (1 paper) and Radiative Heat Transfer Studies (1 paper). The work is most often cited by research in Computational Mechanics (325 citations), Fluid Flow and Transfer Processes (14 citations), Fuel Technology (2 citations), Mechanical Engineering (51 citations) and Ocean Engineering (15 citations). Hang Pu has collaborated with scholars based in China, Norway and Singapore. Frequent co-authors include Ming Dong, Yan Shang, Sufen Li, Lin Mu, Yuning Wang, Yuning Wang, Ni Li, Junjie Zhang, Lin Zhou and Yining Zhang. Their work appears in journals such as Applied Thermal Engineering, International Journal of Heat and Mass Transfer, International Journal of Thermal Sciences, Powder Technology and Journal of Thermophysics and Heat Transfer.
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.