Wei Pi
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Superconductivity in MgB2 and Alloys
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- Electrocatalysts for Energy Conversion
Papers in
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- Physics of Superconductivity and Magnetism 61
- Superconductivity in MgB2 and Alloys 12
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- HVDC Systems and Fault Protection 32
- Frequency Control in Power Systems 14
- Co-authors
- Yinshun Wang (59 shared papers)Haifeng Bao (4 shared papers)Xing Wang (3 shared papers)Na Yao (3 shared papers)Wei Luo (1 shared paper)Sheng Hu (1 shared paper)Na Yao (2 shared papers)Xi Yuan (8 shared papers)
In The Last Decade
Wei Pi
74 papers receiving 476 citations
Peers
Comparison fields: 5 of 40
- Condensed Matter Physics 262
- Renewable Energy, Sustainability and the Environment 132
- Biomedical Engineering 213
- Electrical and Electronic Engineering 264
- Electronic, Optical and Magnetic Materials 77
Countries citing papers authored by Wei Pi
This map shows the geographic impact of Wei Pi'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 Wei Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Pi more than expected).
Fields of papers citing papers by Wei Pi
This network shows the impact of papers produced by Wei Pi. 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 Wei Pi. The network helps show where Wei Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Pi, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 70 | |
| 2 | 2025 | 33 | |
| 3 | 2024 | 29 | |
| 4 | 2020 | 21 | |
| 5 | 2024 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2010 | 7 |
About Wei Pi
Wei Pi is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Control and Systems Engineering, having authored 82 papers that have together received 489 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (61 papers), Superconducting Materials and Applications (46 papers), HVDC Systems and Fault Protection (32 papers), Frequency Control in Power Systems (14 papers), Superconductivity in MgB2 and Alloys (12 papers), Magnetic and transport properties of perovskites and related materials (12 papers), Electrocatalysts for Energy Conversion (6 papers) and Thermal Analysis in Power Transmission (5 papers). The work is most often cited by research in Condensed Matter Physics (262 citations), Renewable Energy, Sustainability and the Environment (132 citations), Biomedical Engineering (213 citations), Electrical and Electronic Engineering (264 citations) and Electronic, Optical and Magnetic Materials (77 citations). Wei Pi has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Yinshun Wang, Haifeng Bao, Xing Wang, Na Yao, Wei Luo, Sheng Hu, Na Yao, Xing Wang, Xi Yuan and Hao Chen. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Physica C Superconductivity, Fusion Engineering and Design and AIP 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.