Zhijun Wu
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies 98
- Computational Mechanics top 1%
- Combustion and flame dynamics 61
- Heat transfer and supercritical fluids 17
- Fluid Dynamics and Heat Transfer 13
- Automotive Engineering top 2%
- Vehicle emissions and performance 22
- Biomedical Engineering top 10%
- Biodiesel Production and Applications 25
- Aerospace Engineering top 5%
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- Catalytic Processes in Materials Science 16
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- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 13
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Zhijun Wu
130 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 64
- Fluid Flow and Transfer Processes 1.1k
- Computational Mechanics 745
- Automotive Engineering 373
- Biomedical Engineering 424
- Aerospace Engineering 225
Countries citing papers authored by Zhijun Wu
This map shows the geographic impact of Zhijun Wu'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 Zhijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijun Wu more than expected).
Fields of papers citing papers by Zhijun Wu
This network shows the impact of papers produced by Zhijun Wu. 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 Zhijun Wu. The network helps show where Zhijun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhijun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 6 | |
| 15 | Study of the Combustion Characteristics of a HCCI Engine Coupled with Oxy-Fuel Combustion Mode | 2017 | 15 |
| 16 | Simultaneous measurement of particle field and size distribution by two digital cameras | 2011 | 1 |
| 17 | Control System of Linear Engine for Hybrid Electric Vehicle | 2011 | 1 |
| 18 | Regulated and unregulated emissions of biodiesel blends in a common rail diesel engine. | 2009 | 8 |
| 19 | 2009 | 125 | |
| 20 | 2007 | 3 |
About Zhijun Wu
Zhijun Wu is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering, having authored 138 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (98 papers), Combustion and flame dynamics (61 papers), Biodiesel Production and Applications (25 papers), Vehicle emissions and performance (22 papers), Heat transfer and supercritical fluids (17 papers), Catalytic Processes in Materials Science (16 papers), Fluid Dynamics and Heat Transfer (13 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (13 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.1k citations), Computational Mechanics (745 citations) and Automotive Engineering (373 citations). Zhijun Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Liguang Li, Jun Deng, Zongjie Hu, R.W. Bilger, Xiao Yu, Guangyu Dong, Chunwang Li, Yuan Gao, Weidi Huang and Xusheng Zhang.
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.