P. Wu
- Nuclear and High Energy Physics top 10%
- High-Energy Particle Collisions Research 2
- Nuclear physics research studies 2
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- Geophysical and Geoelectrical Methods 2
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- Autonomous Vehicle Technology and Safety 2
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- Robotic Path Planning Algorithms 2
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- Building Energy and Comfort Optimization 1
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- Advanced Thermodynamics and Statistical Mechanics 1
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- Integrated Energy Systems Optimization 1
- Cited by
- Nuclear and High Energy PhysicsEnergy Engineering and Power TechnologyAstronomy and Astrophysics
- Journals
- IEEE Transactions on Automation Science and Engineering (1 paper)Reliability Engineering & System Safety (1 paper)Physics Letters B (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
P. Wu
10 papers receiving 258 citations
Peers
Comparison fields: 5 of 41
- Nuclear and High Energy Physics 164
- Energy Engineering and Power Technology 16
- Astronomy and Astrophysics 53
- Geophysics 30
- Radiation 15
Countries citing papers authored by P. Wu
This map shows the geographic impact of P. 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 P. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Wu more than expected).
Fields of papers citing papers by P. Wu
This network shows the impact of papers produced by P. 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 P. Wu. The network helps show where P. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2019 | 45 | |
| 6 | 2013 | 9 | |
| 7 | 2013 | 1 | |
| 8 | 2011 | 153 | |
| 9 | 2010 | 8 | |
| 10 | 2009 | 19 | |
| 11 | 2005 | 0 | |
| 12 | 2004 | 23 | |
| 13 | 2003 | 2 |
About P. Wu
P. Wu is a scholar working on Nuclear and High Energy Physics, Numerical Analysis, Automotive Engineering, Statistical and Nonlinear Physics and Geophysics, having authored 13 papers that have together received 263 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Nuclear physics research studies (2 papers), Robotic Path Planning Algorithms (2 papers), Geophysical and Geoelectrical Methods (2 papers), Building Energy and Comfort Optimization (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Integrated Energy Systems Optimization (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (164 citations), Energy Engineering and Power Technology (16 citations), Astronomy and Astrophysics (53 citations), Geophysics (30 citations) and Radiation (15 citations). P. Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qingfeng Li, P. Russotto, Y. Leifels, W. Trautmann, P. Pawłowski, M. Chartier, J. Łukasik, A. Pagano, R. C. Lemmon and Marko Zorić. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Reliability Engineering & System Safety, Physics Letters B, Applied Energy and Progress in Particle and Nuclear Physics.
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.