Linfeng Ai
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
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- Topological Materials and Phenomena
- Quantum and electron transport phenomena
Papers in
-
- Topological Materials and Phenomena 8
- Magnetic properties of thin films 3
-
- 2D Materials and Applications 7
- Graphene research and applications 6
- Co-authors
- Faxian Xiu (16 shared papers)Enze Zhang (9 shared papers)Shanshan Liu (9 shared papers)Ce Huang (6 shared papers)Yunkun Yang (6 shared papers)Zihan Li (3 shared papers)Pengliang Leng (8 shared papers)Yichao Zou (3 shared papers)
- Journals
- Nano Letters (4 papers)Nature Communications (3 papers)ACS Nano (3 papers)Frontiers in Microbiology (2 papers)Nature Electronics (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Linfeng Ai
16 papers receiving 222 citations
Peers
Comparison fields: 5 of 30
- Condensed Matter Physics 86
- Atomic and Molecular Physics, and Optics 106
- Electronic, Optical and Magnetic Materials 59
- Materials Chemistry 109
- Structural Biology 1
Countries citing papers authored by Linfeng Ai
This map shows the geographic impact of Linfeng Ai'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 Linfeng Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linfeng Ai more than expected).
Fields of papers citing papers by Linfeng Ai
This network shows the impact of papers produced by Linfeng Ai. 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 Linfeng Ai. The network helps show where Linfeng Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Linfeng Ai, 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 | 2020 | 82 | |
| 2 | 2018 | 27 | |
| 3 | 2020 | 21 | |
| 4 | 2023 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2014 | 0 |
About Linfeng Ai
Linfeng Ai is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Electrical and Electronic Engineering, having authored 19 papers that have together received 224 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (8 papers), 2D Materials and Applications (7 papers), Graphene research and applications (6 papers), Physics of Superconductivity and Magnetism (4 papers), Multiferroics and related materials (3 papers), Magnetic properties of thin films (3 papers), Advanced Condensed Matter Physics (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Condensed Matter Physics (86 citations), Atomic and Molecular Physics, and Optics (106 citations), Electronic, Optical and Magnetic Materials (59 citations), Materials Chemistry (109 citations) and Structural Biology (1 citation). Linfeng Ai has collaborated with scholars based in China, United States and India. Frequent co-authors include Faxian Xiu, Enze Zhang, Shanshan Liu, Ce Huang, Yunkun Yang, Zihan Li, Pengliang Leng, Yichao Zou, Sarah J. Haigh and Xian Xu. Their work appears in journals such as Nano Letters, Nature Communications, ACS Nano, Frontiers in Microbiology and Nature Electronics.
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.