Peiyan Li
Impact in
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- Topological Materials and Phenomena
- Magnetic properties of thin films
Papers in
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- Topological Materials and Phenomena 4
- Magnetic properties of thin films 3
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- Advanced Graph Neural Networks 2
- Co-authors
- Junming Shao (6 shared papers)Yang Liu (1 shared paper)Haiming Yu (3 shared papers)Xiaojun Wu (6 shared papers)Haijiang Liu (3 shared papers)Hanchen Wang (3 shared papers)Jimin Zhao (5 shared papers)Jungang Miao (4 shared papers)
- Journals
- Advanced Materials (3 papers)Nature Communications (1 paper)Food Research International (1 paper)International Journal of Hydrogen Energy (1 paper)Journal of Food Engineering (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Peiyan Li
23 papers receiving 296 citations
Peers
Comparison fields: 5 of 80
- Transportation 16
- Atomic and Molecular Physics, and Optics 70
- Atmospheric Science 40
- Information Systems 39
- Global and Planetary Change 32
Countries citing papers authored by Peiyan Li
This map shows the geographic impact of Peiyan Li'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 Peiyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyan Li more than expected).
Fields of papers citing papers by Peiyan Li
This network shows the impact of papers produced by Peiyan Li. 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 Peiyan Li. The network helps show where Peiyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiyan Li, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2008 | 48 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 38 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2025 | 9 | |
| 11 | Numerical simulation of emergency response to atmospheric pollution accident in Tianjin. | 2009 | 4 |
| 12 | 2017 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Peiyan Li
Peiyan Li is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Nutrition and Dietetics, Materials Chemistry and Statistical and Nonlinear Physics, having authored 24 papers that have together received 302 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (4 papers), 2D Materials and Applications (3 papers), Complex Network Analysis Techniques (3 papers), Magnetic properties of thin films (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers), GABA and Rice Research (2 papers), Pomegranate: compositions and health benefits (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Transportation (16 citations), Atomic and Molecular Physics, and Optics (70 citations), Atmospheric Science (40 citations), Information Systems (39 citations) and Global and Planetary Change (32 citations). Peiyan Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Junming Shao, Yang Liu, Haiming Yu, Xiaojun Wu, Haijiang Liu, Hanchen Wang, Jimin Zhao, Jungang Miao, Xinhou Chen and Toshio Koike. Their work appears in journals such as Advanced Materials, Nature Communications, Food Research International, International Journal of Hydrogen Energy and Journal of Food Engineering.
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.