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 62
- Superconductivity in MgB2 and Alloys 12
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- Superconducting Materials and Applications 48
- Co-authors
- Yinshun Wang (60 shared papers)Haifeng Bao (4 shared papers)Xing Wang (3 shared papers)Na Yao (3 shared papers)Sheng Yao Hu (1 shared paper)Wei Luo (1 shared paper)Qingmei Shi (20 shared papers)Na Yao (2 shared papers)
In The Last Decade
Wei Pi
79 papers receiving 539 citations
Peers
Comparison fields: 5 of 40
- Condensed Matter Physics 284
- Renewable Energy, Sustainability and the Environment 152
- Biomedical Engineering 229
- Electrical and Electronic Engineering 279
- Electronic, Optical and Magnetic Materials 81
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 90 | |
| 2 | 2025 | 46 | |
| 3 | 2024 | 31 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2010 | 7 |
About Wei Pi
Wei Pi is a scholar working on Condensed Matter Physics, Biomedical Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment, having authored 87 papers that have together received 560 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (62 papers), Superconducting Materials and Applications (48 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 (284 citations), Renewable Energy, Sustainability and the Environment (152 citations), Biomedical Engineering (229 citations), Electrical and Electronic Engineering (279 citations) and Electronic, Optical and Magnetic Materials (81 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, Sheng Yao Hu, Wei Luo, Qingmei Shi, Na Yao, Xing Wang and Hao Chen. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Physica C Superconductivity, Superconductor Science and Technology, 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.