P.-C. Lu
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
Papers in
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- Particle physics theoretical and experimental studies 10
- Quantum Chromodynamics and Particle Interactions 7
- High-Energy Particle Collisions Research 5
- Neutrino Physics Research 4
- Black Holes and Theoretical Physics 2
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- Iterative Learning Control Systems 3
- Advanced Control Systems Optimization 3
- Co-authors
- Zong-Guo Si (8 shared papers)Junghui Chen (4 shared papers)Lei Xie (4 shared papers)Ying Wang (1 shared paper)Xing-Hua Yang (3 shared papers)Cong‐Feng Qiao (1 shared paper)Ying Wang (2 shared papers)W. Bernreuther (1 shared paper)
In The Last Decade
P.-C. Lu
16 papers receiving 56 citations
Peers
Comparison fields: 5 of 26
- Nuclear and High Energy Physics 34
- Medical Laboratory Technology 1
- Control and Systems Engineering 13
- Energy Engineering and Power Technology 1
- Statistical and Nonlinear Physics 3
Countries citing papers authored by P.-C. Lu
This map shows the geographic impact of P.-C. Lu'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.-C. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.-C. Lu more than expected).
Fields of papers citing papers by P.-C. Lu
This network shows the impact of papers produced by P.-C. Lu. 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.-C. Lu. The network helps show where P.-C. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside P.-C. Lu, 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 | 2018 | 14 | |
| 2 | 2016 | 12 | |
| 3 | 2019 | 6 | |
| 4 | 2025 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About P.-C. Lu
P.-C. Lu is a scholar working on Nuclear and High Energy Physics, Control and Systems Engineering, Atomic and Molecular Physics, and Optics, Atmospheric Science and Biomedical Engineering, having authored 18 papers that have together received 57 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), Quantum Chromodynamics and Particle Interactions (7 papers), High-Energy Particle Collisions Research (5 papers), Neutrino Physics Research (4 papers), Iterative Learning Control Systems (3 papers), Advanced Control Systems Optimization (3 papers), Advanced Surface Polishing Techniques (2 papers) and Black Holes and Theoretical Physics (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (34 citations), Medical Laboratory Technology (1 citation), Control and Systems Engineering (13 citations), Energy Engineering and Power Technology (1 citation) and Statistical and Nonlinear Physics (3 citations). P.-C. Lu has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Zong-Guo Si, Junghui Chen, Lei Xie, Ying Wang, Xing-Hua Yang, Cong‐Feng Qiao, Ying Wang, W. Bernreuther, Long Chen and Han Zhong. Their work appears in journals such as Physical review. D, Chinese Physics C, Industrial & Engineering Chemistry Research, International Journal of Modern Physics A and Science Advances.
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.