Weijun Pan
Impact in
- Aerospace Engineering top 10%
- Air Traffic Management and Optimization
- Aerospace and Aviation Technology
- Aerodynamics and Acoustics in Jet Flows
- Aerodynamics and Fluid Dynamics Research
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Air Traffic Management and Optimization 22
- Aerospace and Aviation Technology 12
- Aerodynamics and Acoustics in Jet Flows 10
- Aerodynamics and Fluid Dynamics Research 10
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- Fluid Dynamics and Turbulent Flows 19
- Co-authors
- Xiaolei Zhang (6 shared papers)Zhuang Wang (5 shared papers)Xuan Wang (2 shared papers)Dong Li (5 shared papers)Jiahao Tang (1 shared paper)Hui Li (1 shared paper)Hao Wang (1 shared paper)Peiyuan Jiang (7 shared papers)
In The Last Decade
Weijun Pan
73 papers receiving 352 citations
Peers
Comparison fields: 5 of 83
- Aerospace Engineering 181
- Health, Toxicology and Mutagenesis 47
- Computational Mechanics 73
- General Economics, Econometrics and Finance 23
- Automotive Engineering 27
Countries citing papers authored by Weijun Pan
This map shows the geographic impact of Weijun Pan'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 Weijun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Pan more than expected).
Fields of papers citing papers by Weijun Pan
This network shows the impact of papers produced by Weijun Pan. 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 Weijun Pan. The network helps show where Weijun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun Pan, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2022 | 30 | |
| 3 | 2019 | 28 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Weijun Pan
Weijun Pan is a scholar working on Aerospace Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering, having authored 87 papers that have together received 371 indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (22 papers), Fluid Dynamics and Turbulent Flows (19 papers), Aerospace and Aviation Technology (12 papers), Aerodynamics and Acoustics in Jet Flows (10 papers), Aerodynamics and Fluid Dynamics Research (10 papers), Robotic Path Planning Algorithms (8 papers), Speech Recognition and Synthesis (8 papers) and Wind and Air Flow Studies (7 papers). The work is most often cited by research in Aerospace Engineering (181 citations), Health, Toxicology and Mutagenesis (47 citations), Computational Mechanics (73 citations), General Economics, Econometrics and Finance (23 citations) and Automotive Engineering (27 citations). Weijun Pan has collaborated with scholars based in China and Singapore. Frequent co-authors include Xiaolei Zhang, Zhuang Wang, Xuan Wang, Dong Li, Jiahao Tang, Hui Li, Hao Wang, Peiyuan Jiang, Yuanduo Zhu and L. Q. Qin. Their work appears in journals such as IEEE Access, Frontiers in Neurorobotics, Sensors, Engineering Applications of Computational Fluid Mechanics and Applied 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.